TribylAI operators
Start a conversation
AI OPERATORS

Operators take on the work that never scaled.

Each operator joins a team, reports to a manager on your team, works alongside the tools you already use, and brings skills that grow over time. Start with a few.

REVENUE IS A TEAM SPORT

11 operators across the revenue lifecycle

Click an operator to see its skills and a sample of its work.

01Generate
Find the right accounts and open conversations.
02Win
Turn pipeline into closed deals.
03Grow
Renew, expand and turn customers into proof.
Strategy and insight
Find what wins revenue, and scale it.
ALL OPERATORS RUN ON TRIBYL
One revenue brainFeeds every operator
AI chiefs of staffRecommend cross-functional initiatives
AI orchestratorsCoordinate handoffs
Your managersApprove
{{ sel.stage }}
{{ sel.name }}
SKILLS
{{ s.t }}
SAMPLE WORK
{{ cur.skill }}
{{ p.h }}
{{ p.t }}
PERSONA STUDY · SAMPLE~200 SIGNALS · 100+ ACCOUNTS
The CISO
Enterprise automation software · built from recorded sales and customer calls
BOTTOM LINE

The CISO rarely joins your calls. They appear as a gate other people describe: reaching it, waiting on it, failing it. They don’t fund the deal, but they can stop a deployment, a data path, an AI use case or the signature itself. And saying no costs them almost nothing.

Recommendation: treat security as a sequence, not a meeting. Arrive with the full packet before it’s asked for, and keep the AI review to the smallest surface possible.

SAME PERSON, FOUR SITUATIONS

How receptive they are depends on which part of their work you walk into.

Reviewing third parties ~60 signals · ~40 accounts
Procedural and unhurried. Moves at the speed of their queue, not your deal.
STEADY
Deciding which AI is allowed ~50 signals · ~30 accounts
The most cautious. Says “not yet” more often than “no”.
GUARDED
Setting and policing access ~45 signals · ~30 accounts
Exacting on detail, intolerant of drift. Checks its own work afterwards.
STRICT
Producing audit evidence ~35 signals · ~25 accounts
Automation arrives as relief, not risk. Asks “how soon?”
OPEN
WHAT’S INSIDE
Who they are
15+ titles that hold this power, and the words they use
What they do
4 kinds of work, and their mood in each
The standard they apply
4 rules, and which ones can be argued with
What makes them refuse
5 refusals, and what a no costs them (nothing)
What brings them in
The events that put them in the deal
How they can block
7 gates, including after go-live
How they engage
How they like to be worked with
5 plays
When to run each; what to ask, say, show and avoid
EXCERPT · THE PLAYS
PLAY 2, IN FULL
Split the AI question from the automation question

Run it when an AI or agentic step enters scope and a second review opens behind the first, usually at an AI board or AI council. Lead with which parts are deterministic, so the AI review covers the smallest possible surface.

Built from ~15 won deals · win rate 50% when run, against 30% when the AI review opened unplanned
ASK
Is there a separate AI board, or does security absorb that review? Is approval per use case or per platform? What’s already approved, and what would make this an extension of it rather than a new request?
SAY
Most of this workflow is deterministic and sits under the platform review you’ve already done. The model call is one step: here’s where it sits and what reaches it.
SHOW
A data-flow diagram that marks the model boundary: what crosses it, where inference happens, what’s retained. It’s the document AI boards actually read.
AVOID
Leading with agentic capability before AI governance is cleared, or presenting AI as one feature to switch on. That framing triggers a blanket restriction instead of a scoped review.
IF THEY SAY
“We don’t send anything sensitive to any AI tool.” Answer with scope, not reassurance: redact before data reaches the platform.
“every new agent goes back to the AI council for its own review. What they approved last time doesn’t carry over.”
Brightwater Insurance · April · Call · Deal
JUST-IN-TIME ACTIONS

~15 open deals where the CISO is in play right now, matched to the situation you’re walking into and the play for it.

DEALTHE SIGNALTHE MOVE · WHO · WHEN
Thornbury Bank
~$400K · new logo · Security review
An AI step entered scope; a second review is opening at the AI councilSignal · call Oct 28 · CallPlay 2, split the AI question from the automation question: send the data-flow diagram before the council meetsSales engineer · before the next call, Nov 4
Orrin Mobility
~$150K · expansion · Procurement
A third-party review is queued and no packet has been sentSignal · call Oct 30 · CallPlay 1, arrive with the full packet: send it now, before it’s asked forAccount executive · before the next call, Nov 5
Larch Media
~$90K · new logo · Proposal
Access-policy questions are still unansweredSignal · call Oct 31 · CallPlay 3, answer access in writing: by role and region, before it becomes a meetingSales engineer · before the next call, Nov 6
Corrigan Utilities
~$220K · new logo · Discovery
Security team is gathering audit evidence by hand ahead of an external auditSignal · call Oct 31 · CallPlay 4, lead with audit evidence: bring the CISO in early, as the buyer who benefits mostAccount executive · before the next call, Nov 6
MESSAGE TEST · SAMPLE~500 SIGNALS · ~120 ACCOUNTS
Does AI make buyers buy?
Content platform software · tested against calls from ~120 accounts that raise AI
THE MESSAGE TESTED
CLAIM
“AI is why buyers choose us.”
VERDICT
Not supported. AI is a requirement, not a reason to buy.
THE NUMBER THAT MATTERS
11th of 39
AI as a buying criterion
About 100 mentions across 50 accounts
1 account
AI as the reason a deal started
And none at all in the last six months

What starts deals instead: contract renewals and expiries, price rises, end-of-life notices, migration deadlines.

BOTTOM LINE

Buyers won’t buy a platform because of AI, but they will walk away from one that fails the AI question. Demand generation built on AI messaging will underperform; an unanswered AI question in a deal started by something else will quietly lose it.

Recommendation: move AI out of campaigns and into the evaluation. Lead demand generation with the events that actually start deals.

FIVE FINDINGS
1. AI is a gate, not a trigger. Everywhere in evaluation criteria; absent from what starts a purchase.
2. AI is moving out of your product. Buyers now want their own AI tools to work your platform directly.
3. Governance is the quiet deal-killer. The fastest-rising AI theme, up 8 places. It blocks deals in legal review, not on calls.
4. Buyers judge you against their daily AI tools. Measured against those, built-in assistance reads as thin.
5. Your most-loved AI capability isn’t in your pitch. Connecting buyers’ own AI tools draws the most unprompted enthusiasm.
WHAT’S INSIDE
The argument
5 findings and the one number that reframes AI
AI signal map
Every AI theme, ranked over 90, 180 and 365 days
Requirement without urgency
Why AI is discussed but never starts a deal
The governance gate
Where AI deals stall, and what clears them
The positioning choice
Two positions, compared on the evidence
9 recommendations
In priority order, each with an owner and a decision
EXCERPT · THE POSITIONING CHOICE
“AI that helps you make content faster”
“The structured layer that makes your AI work”
EVIDENCE
Moving away: talk of built-in agents fell 14 places
Rising, and sits on the #1 pain: content scattered across systems
BENCHMARK
The AI tools buyers used this morning
Nothing comparable
DEFENSIBLE
Low: every platform ships agents
High: it’s architecture, not a feature
RECOMMENDATION 1 OF 9
Stop building demand generation on AI messaging.
Redirect that spend to renewals, expiries and replatforming programmes, and let AI do its real job inside the evaluation.
OWNER: DEMAND GEN WITH PRODUCT MARKETING · DECISION: REALLOCATE
JUST-IN-TIME ACTIONS

~30 open deals where one of the five findings is live right now, each with the move it calls for.

DEALTHE SIGNALTHE MOVE · WHO · WHEN
FINDING 1
Corbel Foods
~$110K · new logo · Demo
The pitch opens on AI; the buyer’s trigger is a contract expirySignal · call Oct 28 · CallOpen on the expiry and migration; answer AI as a requirement met, as in 6 similar winsAccount executive · before the next call, Nov 4
FINDING 2
Rowan Outdoor
~$95K · new logo · Evaluation
Wants their own AI assistant to read and update content directlySignal · call Oct 29 · CallShow their assistant working on your structured content; lead with the layer, not built-in agentsSales engineer · before the next call, Nov 5
FINDING 3
Ashby Group
~$75K · new logo · Legal review
Legal asked for an AI data-use annex; none sent yetSignal · call Oct 30 · CallSend the governance pack and annex before legal meetsSales engineer, legal · Nov 3
FINDING 4
Northpoint Media
~$140K · new logo · Shortlist
Compared your built-in assistant with the AI tool they use dailySignal · call Oct 30 · CallDon’t demo assistance head to head; show their own tool working on your contentSales engineer · before the next call, Nov 6
FINDING 5
Vesta Health
~$160K · new logo · Demo
Demo plan leaves out connecting their AI tools, the capability buyers like mostSignal · call Oct 31 · CallAdd the connection to the next session and let them try it liveAccount executive, sales engineer · Nov 6
MARKET STRATEGY · SAMPLE4,000+ SIGNALS · ~300 ACCOUNTS
The next platform: one roadmap, two buyers
Content platform software · prepared for the leadership team
BOTTOM LINE

Buyers are widening from content people read to content machines read. The evidence supports the direction, not a date. So build what serves both: structure, approval controls and reach into other systems are what today’s customers already buy, and exactly what machine readers need.

Recommendation: run one roadmap, not two. Commit in stages: seven assumptions, each with a cheap test and a tripwire, re-checked every quarter.

SIX BUYER ARCHETYPES

Grouped by what buyers want from AI, not by industry or size.

ARCHETYPEWHAT AI IS FORACCOUNTSWIN RATE · WINS
Answer surfacesBe what the machine answers from~2055% · 10
Assurance firstRun inside our controls, or not at all~2550% · 10
Document convertersTurn documents into structure~3545% · 15
Output multipliersMake content at unit cost~5040% · 20
Estate federatorsMake many systems queryable as one~4545% · 20
Operator substitutesPublish without a developer~5525% · 10

In five of six, what serves today’s job also makes the buyer AI-ready. The exception is the largest group: most show no AI interest at all, and it’s where deals are being lost on the editor.

ONE SEGMENTATION, EVERY TEAM

Once leadership approves the archetypes, every other operator works from them.

WHATOPERATORHOW IT USES THE ARCHETYPES
Who to go afterPipeline strategistTarget accounts, grouped by buyer need and ranked by archetype win rate and deal size
What to sayProduct marketing, enablementWhat each archetype hears, and the playbook pillar that leads for it
Where to expandAccount managerCustomers in high-win archetypes with a second team or division to win
What to buildSolutions engineer, productNo-regrets roadmap items ranked by the archetypes and revenue they serve
What to chargeValue engineer, pricingPackaging tested where price pressure concentrates
WHAT’S INSIDE
The thesis
The bet, what the evidence supports, what must be true
Six archetypes
What each wants, how many accounts, and your win rate
Where you stand on AI
Assets, gaps, and what customers actually run
Competitors on AI
Three fronts, and who is meeting them
Positioning
What each archetype hears, and what not to claim
Roadmap and pricing
Filtered by the no-regrets test
9 risks
Each with the move that reduces it
What would have to be true
7 assumptions, tests and tripwires
EXCERPT · ONE ARCHETYPE, CLOSE UP
Answer surfaces
Be what the machine answers from
~20 ACCOUNTS · 55% WIN RATE
WHO
A chatbot, assistant, search index or partner system already reads their content to answer questions. The tell: they ask about tagging, citations or API access before they ask about editing.
BUYING TODAY
A governed knowledge base that apps, help centres and partner systems read through an API. It pays for itself without any AI story.
MUST BE TRUE
Typed content models and taxonomy built in. A lasting API and MCP endpoint. Retrieval that works with their own stack. Sources and citations, because the risk is a confident wrong answer.
LOSES THE DEAL
Can’t connect to their internal systems. Build versus buy at large enterprises. No business sign-off on AI answers.
“the structure that AI needs is different than what the people need”
Partner, consultancy · Call
“there’s an AI chatbot that pulls our content”
Health benefits company · Call
Verdict: beachhead. Invest and use as references, but don’t size the plan on it. The first step needs no AI conversation, so it sells today to buyers who haven’t decided anything about AI.
DOMAIN METRICS · SAMPLE~300 SIGNALS · ~80 CUSTOMERS
What changes when teams switch to you
Release management software · value drivers and benchmarks from customer calls
BOTTOM LINE

Customers describe your value in three ways: faster releases, better quality and control, and lower running costs. Each comes with a before and an after number in their own words, so a value claim never rests on a vendor estimate.

Recommendation: lead discovery with the value drivers, not the numbers. Probe for the prospect’s current baselines, then use the after benchmarks to size the room for improvement, working it through with your champion.

BEFORE AND AFTER, IN CUSTOMERS’ NUMBERS
METRICBEFOREAFTER
FASTERRelease time2–3 hoursUnder 1 hour
FASTERRelease frequencyMonthlyWeekly
FASTERIntegration fix time1–2 daysA few hours
BETTERTest failures~40% of builds30–40% fewer
BETTERAudit prep2 days per audit2+ days saved
CHEAPERScript upkeep$300–500K a yearRetired
CHEAPERSandbox upkeep8–12 hrs a week per teamAutomated

Every after number was observed by customers in production. Test failures uses an industry benchmark for the before.

WHAT’S INSIDE
Value drivers
9 pains customers had before buying, and what each cost them
Before baselines
10 metrics, each from calls or a labelled benchmark
After improvements
Only gains customers saw in production, in their words
Unit gains
Conservative, with the calculation shown
Qualitative drivers
Real value that won’t carry a number, kept for the narrative
Value conversation guide
Each driver defined, with what to ask, probe and say in discovery
EXCERPT · ONE METRIC, IN FULL
FASTERRelease time
PAIN
Slow, error-prone manual releases: delays, rollback risk, costly production errors.
BEFORE
2–3 hours per release window, from customer calls.
AFTER
Under an hour, once the pipeline is automated.
UNIT IMPACT
2–3× faster: 120–180 minutes down to about 60. The conservative end is used.
VALUE CONVERSATION GUIDE
DEFINE
Release time: from approving a change to having it live in production, including manual checks and rollbacks.
ASK
How long does a typical release take today, start to finish? How many people are tied up while it runs?
PROBE
When did a release last run over or need rolling back? What did that cost the team, and the business?
SAY
Teams like yours tell us releases went from two or three hours to under one. Let’s see what that’s worth at your volume.
“We went from 3-hour releases to under 60 minutes now.”
DevOps manager · financial services · June · Call · Deal
JUST-IN-TIME ACTIONS

~20 open deals where discovery is still thin: no baselines, pains from similar wins not yet explored, or outcomes not tied to what the economic buyer cares about.

DEALTHE SIGNALTHE MOVE · WHO · WHEN
Kestrel Insurance
~$500K · new logo · Discovery
Release volume, incident count and audit schedule unknownSignal · call Oct 30 · CallAsk the baseline questions, then build the value calculatorAccount executive, value engineer · before the next call, Nov 4
Sorrel Health
~$180K · new logo · Discovery
Named manual work only; failed releases and audit prep, the two pains in most similar wins, haven’t come upSignal · call Oct 31 · CallExplore both pains, with baselines: failures per quarter, hours per auditAccount executive · before the next call, Nov 5
Granite Logistics
~$250K · new logo · Business case
The CFO’s agenda is cutting tool spend this yearSignal · call Oct 28 · CallBuild the case around tools retired and their cost, using peer after numbersValue engineer · before the next call, Nov 6
VALUE CALCULATOR · SAMPLEONE PROSPECT · BUILT ON ~300 SIGNALS
Kestrel Insurance: proforma value
Prepared for the CFO · customer benchmarks, sized with the prospect’s own volumes
BOTTOM LINE
$635–890Kper year, conservative

Most of the value is cost: retiring custom release scripts is worth $250–350K on its own. Faster releases and better quality add the rest. Every line uses the low end of what customers report.

Recommendation: before the CFO meeting, confirm the four benchmarks with Kestrel’s platform lead. Incidents and audits move the number most.

VALUE BY DRIVER
DRIVERPER YEARSIZED WITH KESTREL’S VOLUMES
FASTERShorter release time$60–90K3 releases a week × 2 hrs saved × $150/hr × 50 weeks
FASTERFaster recovery from pipeline issues$100–150K5 incidents a month × 1 day saved × $1,000/day
FASTERMore frequent releases$45–60K36 more releases a year × $1,500 each
BETTERLess rework from test failures$80–100K400 bugs a year × 30–40% fewer × $500 each
BETTERLighter audit prep$50–70K4 audits a year × 2 days saved × $1,000/day
CHEAPERCustom release scripts retired$250–350K2 DevOps roles redeployed at $125–150K each
CHEAPERAutomated sandbox setup$30–45K10 hrs a week × $100/hr × 48 weeks
CHEAPERLess hotfix rework$20–24K10 hrs a month × $200/hr
Total$635–890K
ASSUMPTIONS, WITH SOURCES
$150/hr
Loaded DevOps rate
Salary and analyst benchmarks
$500
Cost to resolve one bug
Industry survey
$1,000/day
Cost of audit prep
Analyst benchmark
$125–150K
Senior DevOps role
Analyst study

Every benchmark behind the unit gains traces to customer calls in the domain metrics.

KESTREL’S INPUTS · PRE-FILLED

Filled from Kestrel’s own calls where they’ve said it, and from your customer benchmarks where they haven’t. The buyer confirms every benchmark for their own situation.

INPUTVALUESOURCEDETAIL
Releases a week3FROM CALLSPlatform lead · Oct 14 · Call
Roles on script upkeep2FROM CALLSDevOps manager · Sep 30 · Call
Bugs a year~400FROM CALLSQA lead · Oct 14 · Call
Pipeline incidents a month5BENCHMARKMedian for peers of their size; confirm
Audits a year4BENCHMARKTypical for regulated insurers; confirm
Sandbox setup hours a week10BENCHMARKMedian for peers; confirm
Current release duration4 hrsBENCHMARKMedian for peers before switching; confirm
3 from Kestrel’s calls · 4 benchmarks to confirm
FEATURE REQUEST BRIEF · SAMPLE~1,200 SIGNALS · ~150 ACCOUNTS
What buyers are asking you to build
Content platform software · last 180 days of sales and customer calls · for product leadership
BOTTOM LINE

Buyers aren’t asking for a more capable platform. They’re asking you to finish what you already ship: the connector that drops formatted text, the agent that skips linked content, the bulk publish that stops at one page. Seven of the eight themes are requests to remove a step someone does by hand today.

Recommendation: sequence by the revenue at stake, not by volume. The most severe fixes are small, specific and already scoped by customers.

3
themes deciding new deals right now
4
themes carrying renewal or expansion risk
5
accounts unable to use something they already have
THE PRIORITY STACK

Ranked on three things combined: how often it comes up, how many accounts raise it, and the pipeline and revenue riding on it. Trend is the last 90 days against the year.

THEMEWHAT’S AT STAKEBEST NEXT MOVE
1Localization~$2.4M~240 signals · ~45 accounts · ▲ risingTranslation that round-trips without loss
2Editor autonomy~$1.9M~210 signals · ~40 accounts · ▲ risingMake preview a product, not a build
3Content modeling~$1.6M~180 signals · ~35 accounts · — steadyRaise nesting and taxonomy limits
4Content ops at scale~$1.5M~150 signals · ~30 accounts · ▲ risingRestore mass update; fix bulk publish
5Governance bundle~$1.2M~90 signals · ~25 accounts · ▲ risingPackage SSO, audit logs, versioning, approvals
6Environments and releases~$1.3M~110 signals · ~20 accounts · ▼ easingPromote selected content between environments
7Personalization~$0.8M~70 signals · ~15 accounts · ▲ risingRaise variant limits to country scale
8Integrations~$0.6M~60 signals · ~15 accounts · — steadyA product picker for commerce systems
WHAT’S INSIDE
Executive summary
Seven things worth acting on
Priority stack
8 themes, where each decides, the move to make
8 themes in full
What they ask, why it matters, where it decides
Buyer evidence
Dated quotes for every theme
Packaging and limits
Where limits trigger upgrades, and where they stall expansion
AI in practice
What customers actually use, and what they don’t trust
EXCERPT · THE THEMES
THEME 1 OF 8, IN FULL
Localization and translation
NEW DEALSRENEWAL RISKEXPANSION BLOCKED

The top buying criterion by volume: about 100 mentions across 45 accounts. Buyers have the connector, and still finish the job by hand.

THEY ASK FOR
A translation connector that round-trips without loss; an agent that covers every component and linked entry, in bulk; AI output they can steer with their own glossary and tone.
WHY IT MATTERS
Teams copy-paste translations back by hand, check nested content line by line, and have already shipped pages with missing text.
WHAT’S AT STAKE
New deals: one prospect will choose whoever can translate their existing content in bulk. Their current vendor can’t, so it’s yours to win. Renewals: one customer says they won’t renew because adding languages costs too much.
MOVE
Make translation round-trip without loss: formatted text in linguist-sized pieces, nested components and links carried through.
“the rich text field means we can’t do it. We can’t use the integration”
Northgate Exchange · March · Call · Deal
“if it’s going to be too steep of an increase for every two locales we’re adding, that’s not something we’re going to be interested in”
Velo Mobility · August · Call · Deal
JUST-IN-TIME ACTIONS

~35 open deals, renewals and lost deals that asked for one of these fixes, each with an owner to tell.

DEALTHE SIGNALTHE MOVE · WHO · WHEN
Ferro Retail
~$200K · renewal · in 3 months
The connector drops formatted text in their translation flowSignal · call Oct 30 · CallSend the heads-up: the fix and its timing, to share with the customerCustomer success manager, product · before the next call, Nov 4
Linden University
~$65K · new logo · Evaluation
Bulk publish stops at one pageSignal · call Oct 31 · CallShow the scoped fix and when it shipsSales engineer · before the next call, Nov 5
Pell & Co
~$90K · expansion · Alignment
The agent skips linked contentSignal · call Oct 28 · CallOffer early access to the fixAccount manager · before the next call, Nov 6
Quarry Foods
~$120K · new logo · lost in July
Lost over bulk publish stopping at one pageSignal · call Jul 14 · CallHeads-up now; when it ships, re-open with the talk track and a trial on their own contentAccount executive · on release
WINBACK CAMPAIGN · SAMPLE~1,400 SIGNALS · 38 LOST DEALS · 9 RECENT WINS
Tessel CPQ winback
Release management software · deals lost to Tessel with CPQ releases in scope · last 12 months · for sales and marketing leadership
BOTTOM LINE

Since these deals were lost, you’ve addressed the weaknesses buyers pointed out against Tessel: fewer steps in everyday CPQ flows, and small-team pricing. Your recent wins against Tessel show why teams leave it: dependency errors in production and failed releases they can’t roll back. Twelve lost accounts raised at least one of these during their evaluation, either a weakness you’ve since fixed or a worry about Tessel that recent switchers share, and all are within six months of an estimated Tessel renewal.

Recommendation: approve the 12 and start with the nearest renewals. Open each with the worry about Tessel they raised, then what’s improved about you.

THE SWITCH-BACK CASE

From the competitive intelligence manager operator: your campaign brief, plus 9 recent wins and winbacks against Tessel.

What’s improved about us
FROM YOUR CAMPAIGN BRIEF
C1Fewer steps in everyday CPQ flowsEase of use cited in 29 of 38
C2Small-team pricingPrice cited in 12 of 38
Why teams switch from Tessel
FROM 9 RECENT WINS AND WINBACKS
S1Dependency errors reaching productionRaised as a worry in 24 of 38 losses
S2Failed releases they can’t roll backRaised in 17 of 38
S3Releases across regional teamsRaised in 11 of 38
TTiming: every target is within six months of an estimated Tessel renewal, a year from when they signed.
TARGET ACCOUNTS · 5 OF 12

Drivers come from what was said during each evaluation. Each approved account goes to its account executive with a playbook.

ACCOUNTDRIVERS
1Morrow HealthNorth America · ~$380K · lost Nov 2025Est. renewal Nov 2026APPROVEDS1Evaluated because dependency errors reached productionC1Admins found your flows heavier
2Kestrel InsuranceNorth America · ~$450K · lost Mar 2026Est. renewal Mar 2027APPROVEDS1Team lead doubted Tessel would scale to their CPQ setupC1Chose Tessel on ease of use
3Altamar TelecomEMEA · ~$600K · lost Feb 2026Est. renewal Feb 2027APPROVEDS3Releases across four regional teamsC2Chose Tessel on price
4Brightwater LogisticsAPAC · ~$300K · lost Apr 2026Est. renewal Apr 2027APPROVEDS3Two regional teams releasing by handC1Admins found your flows heavier
5Vireo CyberEMEA · ~$700K · lost Jan 2026Est. renewal Jan 2027APPROVEDS2Worried Tessel couldn’t roll back data with configC1Chose Tessel on ease of use

Air cover: the ABM team runs ads on what’s improved to the people from each lost evaluation, before the account executive reaches out.

WHAT’S INSIDE
The campaign brief
Competitor, use case, fixes, value proposition
The switch-back case
What’s improved about us, and why teams switch
Target accounts
12, each with its drivers
Account playbooks
One per approved account, with matched proof
ACCOUNT PLAYBOOK · SAMPLE~140 SIGNALS · 27 CALLS · 20 EMAILS · 1 LOST DEAL
Vireo Cyber: Tessel CPQ winback
Managed security · EMEA · ~$700K · lost to Tessel Jan 2026 · for the account executive, EMEA
BOTTOM LINE

Vireo chose Tessel on ease of use but also worried it couldn’t roll back data with configuration. Their senior administrator raised it on four calls. Since then you’ve cut steps from daily flows, making it easier to use, while rollback has always been your strength. You also have winback accounts like Calloway Insurance that left Tessel over the same rollback concern Vireo voiced during their evaluation. Vireo signed with Tessel in January 2026.

Recommendation: reopen through the Platform team lead. Share what’s improved, ask how rollback has gone on Tessel, and offer to run one of their real releases. Bring the director in once the admins are asking for it.

TESSEL CONCERNCouldn’t roll back data with configuration
IMPROVED ABOUT USFewer steps in daily flows
TIMINGEst. renewal Jan 2027
WHO TO REACH, AND THE PLAY

Timed so a pilot can finish before the estimated renewal.

WHOLAST TIMETHE PLAY
Pieter W.Platform team lead · championRated your dependency handling highest; doubted Tessel would scaleOpenEmail 1, then a call. Share what’s improved, then ask how CPQ releases have gone.Account executive
Samir A.Senior platform administratorRaised rollback on four callsShowRun one of their real releases in a sandbox copy of their setup, then roll it back. Follow with a call with Calloway’s release manager.Solutions engineer, customer marketing
Joris D.Platform administrator · day to dayFound your daily flows heavierShowIn the same session, the flows he runs weekly with the steps you’ve cut.Solutions engineer
Jasper S.Director IT · signerSigned for Tessel on cost and easeCloseA one-release pilot and a cost case against the renewal price.Value engineer, account executive
PROOF FOR VIREO

From recent wins against Tessel, matched to Vireo’s drivers.

TESSEL CONCERN“Rolling back a bad release went from a weekend of rebuilding to one step.”Release manager, Calloway Insurance · moved from Tessel Feb 2026 · Call
IMPROVED ABOUT US“The flows our admins use every day are shorter than they were on Tessel.”Admin lead, Nordvik Telecom · moved from Tessel Jun 2026 · Call
WHAT’S INSIDE
Who to reach, and the play
Last time, and each person’s step
Vireo’s drivers
From the switch-back case
Outreach
Three emails and a call script
Proof points
Teams that left Tessel for the same reasons, and the full Calloway case study from the customer marketer operator
Engagement history
Every contact, call and email
EXCERPT · OUTREACH
EMAIL 1 OF 3TO PIETER W.
What’s improved since your evaluation
Hi Pieter,During your evaluation last year, ease of use was the deciding factor for your team. We’ve since cut steps from the everyday CPQ flows your admins run, so the day-to-day work is simpler.I’m also curious how rollback has been going for you. Your team raised it as a concern about Tessel, and it’s come up with other Tessel teams too. Calloway Insurance moved to us this year over it; their release manager says rolling back a bad release went from a weekend of rebuilding to one step.If it would help, our solutions engineer can take one of your real CPQ releases, run it in a sandbox copy of your setup and roll it back, so your team can compare for themselves. It takes about 45 minutes, ideally with Samir and Joris.
CALL SCRIPT · PIETER W.
OPEN“Since your evaluation, we’ve made the everyday CPQ flows simpler, which was the deciding factor for your team. I also wanted to hear how rollback has been going on Tessel.”ASK“When a CPQ release fails now, how do you get the data back?” · “How often does that happen?”IF THEY SAY“Switching again is too much work.” → “Fair. We’d start with one release cycle, with one of our engineers alongside your team. If it doesn’t clear the bar you set, you’ve lost nothing.”ASK FORA 45-minute session where we run one of your releases in a sandbox copy of your setup, and roll it back.
WIN-LOSS ANALYSIS · SAMPLE~2,400 SIGNALS · ~180 WON AND LOST DEALS
Why you lose deals with MEDDPICC all green
Release management software · won and lost deals, new logo and expansion · last 12 months · for revenue leadership
BOTTOM LINE

The signals your team tracks don’t separate your wins from your losses. A firm deadline, a big dollar figure on the pain, a named approver, an excited champion: each shows up just as often on the deals you lost. MEDDPICC is a general checklist. What decides your deals is specific to how release teams buy and where your product fits them: pain tied to a release or contract date that arrives anyway, doubts resolved in the buyer’s own setup, and a number someone has the budget to fund. Your team can act on each of these in every deal.

Recommendation: put the five deciding factors below into every deal review, spend technical time proving the buyer’s specific doubt instead of re-demoing what they already believe, and run security, procurement and legal in parallel.

THE FIVE STAGES · HOW YOUR BUYERS DECIDE

Rebuilt from your buyers’ own words, not your CRM stages. Win rate is for closed deals where the winning pattern was present, against where it wasn’t.

STAGEWIN RATE
1 · Why nowIs the urgency real?WINSPain tied to a release, go-live or contract end that happens anywayLOSESReal, even severe pain with no date attached52%18%
2 · Solution fitProven, or just claimed?WINSThe buyer’s specific doubt shown working in their own orgLOSESThe doubt answered with “yes, it does that”61%22%
3 · Business caseIs it funded?WINSBuilt to the number the approver needs to seeLOSESMapped who signs, never what gets a yes55%15%
4 · TransactionWill the sign-offs clear?WINSBuyer starts every review at once and chases themLOSESBuyer describes the process, then waits64%31%
Buying committeeThrough every stageWINSChampion knows what the approver will ask forLOSESChampion keen but unequipped: “I’ll find out”58%17%
WHAT’S INSIDE
The one read
Why green MEDDPICC still loses
Looks qualified, isn’t
What the CRM shows against what the calls show
The five stages
What wins and loses at each, with win rates
Each stage, a level deeper
The situations behind each, with plays
What each team should do
Sales, enablement, marketing, product, deal desk, success
Method and limits
From recorded calls, refreshable by segment and period
EXCERPT · STAGE 2, SOLUTION FIT

Buyers arrive already believing the core of your product. Deals are almost never lost there, so re-demoing it wastes the meeting. They are won, slowed or lost on a handful of capabilities, and on whether the buyer saw their own doubt resolved in their own org.

BELIEVED ON ARRIVAL · LEAD HERE
Wins deals away from manual deployments and general-purpose CI/CD tools
Deployment automationVersion controlRollbackAudit trailNative platform fit
WORKS, UNPROVEN HERE · THE DELAY
Doubt extends the deal, and can outlast the signature
Metadata dependenciesMerge conflictsEnvironment sync
WHERE DEALS ARE DECIDED
Absolute for the buyers who raise them
Systems outside the platformData residencyOwn AI modelTest setup capacityRight-sized tier
LOW STAKES · SKIP
Believed well enough, decides little
Point-feature depthLicensing flexibilityEnd-to-end coverage
SIX SITUATIONS, IN THE ORDER BUYERS MEET THEM
1HARD LIMITDoes it reach their systems, data rules and test complexity?
2MOVABLEIt works elsewhere, but they haven’t seen it work here. The largest group: not lost, just slow.
3MOVABLERight capability, but in a tool their people don’t open
4MOVABLECan this team stand it up and keep it running?
5MOVABLEIs the offer sized to the team in the room?
6HARD LIMITIs something good enough already in the seat?

Hard limits are for the first technical call. The four movable ones are where most winnable losses sit.

“I don’t really feel comfortable until I have some hands-on experience with being able to just test it out.”
Paragon Systems · Sep 10, 2025 · Closed lost: never got hands-on proof · Call · Deal
“Most concerned about how much time we’re going to need to devote to learning it and getting it truly implemented.”
Lumen Charities · Feb 17, 2026 · Closed won: the doubt was raised, shown and closed · Call · Deal
JUST-IN-TIME ACTIONS · WHAT EACH TEAM SHOULD DO

Each tied to the stage it comes from. The sales coach operator applies the same patterns to live deals in its pipeline coaching and deal reviews.

TEAMTHE MOVESTAGE
Frontline salesIn every deal review, ask two questions the CRM can’t answer: what happens on the buyer’s date if nothing changes, and what number the approver needs to see. A deal without both is red, whatever MEDDPICC says.Why now · business case
Solutions engineeringFind the two or three doubts the buyer is leaning on and prove them in their own org. Skip re-demoing what they already believe.Solution fit
EnablementCoach reps to equip the champion with what the approver will ask for, in a form they can forward as is.Committee · business case
Product marketingLead with the cost of staying put against the buyer’s real alternative, and make “bring your own AI model” a message, not a defence.Business case · fit
ProductFix or clearly fence the real walls: systems outside the platform, data-residency rules, no own AI model, heavy test setup.Solution fit
Deal desk, RevOpsStart every sign-off at once, and screen for data-residency, AI-review-board and contract-term walls early.Transaction
CONTENT BRIEFS · SAMPLE~700 SIGNALS · ~90 ACCOUNTS · ~60 DEALS
Answering AI review before it’s asked
Threat intelligence software · AI and MCP questions from open, won and lost deals and customer calls · last 180 days · for product marketing
BOTTOM LINE

AI review is where deals slow down now, and buyers ask the same questions in almost every one. Up to nine reviewers can each stop a deal, and each wants a written answer they can keep on file, not a reassurance on a call. Six topics cover most of what they ask.

Recommendation: start with the AI governance pack. Every regulated buyer asks for it, and it answers much of what sits behind the next three.

34
distinct questions buyers ask about your AI
9
reviewers who can each stop a deal
6
topics behind most of the questions
THE SIX BRIEFS

Ranked by how often buyers raise each topic and how many accounts raise it. Trend is the last 90 days against the full 180.

BRIEFBUYER REVIEWERWHAT THEY NEED TO SEE
1AI governance pack~180 signals · ~40 accounts · ▲ risingAI governance board, model riskModel documentation and validation, and everything their review needs, in one pass
2Data use and training~160 signals · ~45 accounts · ▲ risingLegal, privacyQuotable terms on training, isolation, storage and retention, in contract-ready wording
3AI and MCP data flow~110 signals · ~30 accounts · ▲ risingSecurity architectureWhere queries run, what reaches the AI provider, what is kept
4Accountability and traceability~90 signals · ~25 accounts · ▲ risingAnalysts, SOC leadsWhat the AI surfaced and rejected, and the source behind every claim
5Turning AI off~70 signals · ~20 accounts · — steadyLegal, procurementHow AI is switched off per account while terms are agreed, and how to verify it
6Contract definitions~50 signals · ~15 accounts · — steadyLegalOne definition of output, and who owns findings about their own brand
WHAT’S INSIDE
Bottom line
What buyers ask, who asks it, where to start
The six briefs
Ranked, with the reviewer each one is for
Each brief in full
Concern, questions, what to include, format
The approval sequence
Nine gates and what each reviewer asks for
Buyer evidence
Dated quotes for every question
Coverage notes
Where the evidence is thin
EXCERPT · THE BRIEFS
BRIEF 1 OF 6, IN FULL
AI governance pack
~180 signals · ~40 accounts · raised in most regulated deals
FOR
AI governance boards, model risk and audit teams at regulated buyers
THEIR CONCERN
Not whether the AI is good, but whether they can defend approving it. They hold vendor AI to the same model-risk standard as their own.
MUST ANSWER
How is the model documented and validated? Is it yours or built on a third party’s? Is anything we enter used for training? What exactly do you need from us to approve this?
INCLUDE
Model documentation and provenance; validation evidence; a data-handling summary; a completed AI questionnaire; the full list of what their review will need, stated once.
FORMAT
A pack the champion can submit as is, with a one-page summary for the board chair.
“give us the documents on, you know, the model itself, the validations you’re doing”
Northshore Bank · April · Call
“it’s frustrating for us wanting to use an AI tool when we don’t know what we need to provide”
Ridgeway Bank · July · Call · Deal
“the paperwork for us to be able to use that kind of feature is probably going to take around six months”
Harbor Exchange · April · Call
JUST-IN-TIME ACTIONS

Each brief goes to its owner with the buyer evidence attached. Your team decides whether that means something new or improving what you already have.

BRIEFTHE SIGNALTHE MOVE · OWNER
AI governance pack
Brief 1
Raised on 9 calls in the last 30 days, 4 of them by bank AI boardsWrite or refresh the pack against the brief’s must-answer listProduct marketing
AI and MCP data flow
Brief 3
MCP connection questions doubled in OctoberTurn the brief into a one-page data-flow explainerProduct marketing, solutions engineering
Data use and training
Brief 2
Legal teams asking for contract-ready wording, rising since SeptemberDraft a standard data-use summary in the buyer’s termsProduct marketing
Accountability and traceability
Brief 4
SOC leads asking what the AI rejected, and on what evidenceAdd source and reasoning examples to your AI materialContent marketing
WEBSITE FAQ · SAMPLE~700 SIGNALS · 34 QUESTIONS · ~90 ACCOUNTS
AI and your data: what buyers ask
Threat intelligence software · a public FAQ built from questions in open, won and lost deals · last 180 days
BOTTOM LINE

Buyers ask the same questions about your AI in almost every evaluation, usually on a call and often weeks in. Answer them on your site in the buyer’s own words, and buyers get answers before they talk to anyone, AI assistants and search engines have something to cite, and evaluations start further along.

Recommendation: one FAQ page in eight sections, ordered by how often buyers ask. Keep each question in the buyer’s phrasing, so it matches what they type into search and AI assistants.

34
questions, phrased the way buyers ask them
8
sections, ordered by how often they come up
~90
accounts asked at least one
THE PAGE
yoursite.com/ai-faq
AI and your data
Straight answers to what security, legal and AI review teams ask us.
▾ Your data and our AI5 questions
▸ Approving AI in your organisation4 questions
▸ Trusting what the AI tells you3 questions
▸ Connecting your own AI assistant4 questions
▸ Contracts and ownership2 questions
▸ Where your data lives5 questions
▸ Security reviews and compliance6 questions
▸ Getting started, pricing and access5 questions
WHAT’S INSIDE
The page
8 sections and 34 questions, in buyer phrasing
Every answer drafted
Plain language, from your material and calls
Search and AI markup
How each question is tagged so it gets found
Where each question comes up
Stage, reviewer and how often
Buyer evidence
Dated quotes behind every question
Topics on the rise
Which sections buyers ask about more, last 90 days against 180
EXCERPT · SECTION 1, OPENED UP
Your data and our AI
5 questions · ~240 signals · ~55 accounts
Will anything we type into the AI be used to train your models?
ASKED BY ~45 ACCOUNTS
No. Your prompts, uploads and results are never used to train any model, ours or anyone else’s. It’s written into our contract, not only our policy, so your legal team can rely on it.
Can we put our own AI data-use language into the contract?
ASKED BY ~20 ACCOUNTS
Yes. Send your standard AI clause with your first comments on the agreement and we’ll review it alongside the rest, not at the end.
Can we buy the platform and switch the AI off until our review is done?
ASKED BY ~20 ACCOUNTS
Yes. AI features can be switched off for your whole account and switched on when you’re ready. Admins can see the setting, so your reviewers can confirm it.
If we connect Claude or Copilot, does our data reach that AI provider?
ASKED BY ~15 ACCOUNTS
Only the results of the queries you run. Nothing else in your account is shared, and what reaches your assistant is covered by your agreement with its provider.
Can we limit what data the AI sees?
ASKED BY ~15 ACCOUNTS
Yes. You can restrict it to indicators such as IP addresses, domains and hashes, with no personal data. Many teams start there.
“we don’t want anything y’all type in to be used for any type of training”
Granite Mutual · April · Call · Deal
“there has to be a way to shut it off so we can’t use it”
Skyline Airways · April · Call · Deal
JUST-IN-TIME ACTIONS

The page goes to the web team with every answer drafted. Your team edits and publishes it, with FAQ markup so search engines and AI assistants can read each answer.

SECTIONTHE SIGNALTHE MOVE · OWNER
Your data and our AI
Section 1 · 5 questions
The most asked section, raised by ~55 accountsPublish this section firstWeb team
Connecting your own AI assistant
Section 4 · 4 questions
MCP questions doubled in OctoberPublish ahead of the launch so the answers are live when interest peaksWeb team, product marketing
Getting started, pricing and access
Section 8 · 5 questions
Asked early, often on the first callPublish so buyers get these answers before the first callWeb team
COMPETITOR SWOT · SAMPLE~400 SIGNALS · ~120 ACCOUNTS
Winning and losing against Fastlane
Release management software · Fastlane is the lighter, cheaper tool buyers know well
BOTTOM LINE

Fastlane isn’t beating you on capability. It wins on price and simplicity, usually before anyone tests sync, governance or testing at scale. Where buyers do test those, you win, and they say why. The problem is the deals that never get that far.

Recommendation: put a value number on the table before Fastlane’s price sets the frame, and qualify every deal on team size, environments and who signs off production changes.

EXECUTIVE SWOT · AGAINST FASTLANE
STRENGTHS
Environment sync. Automatic; the clearest edge buyers name.
Governance and audit. Enforced approvals; on Fastlane anyone can release to production.
Testing in the pipeline. Fastlane only moves code.
WEAKNESSES
Sticker price. Fastlane’s quote is lower, and buyers know it.
Setup weight. A heavier start reads as complexity.
Post-migration friction. Sync confuses buyers if conflict rules aren’t set up.
OPPORTUNITIES
Fastlane renewal dates. Licence expiries convert best, yet go untracked.
Migration deadlines. Forcing teams to re-evaluate the whole toolchain.
Teams outgrowing simple. Early simplicity gives way to complexity at scale.
THREATS
Fresh installs. Buyers a few months into Fastlane rarely switch.
Like-for-like trials. Fastlane already installed sets the test.
Price-first evaluations. Without a value number, price decides.
WHAT’S INSIDE
Bottom line
5 findings, each with the accounts behind it
Executive SWOT
24 points, against this competitor only
Why you win
6 levers, each with verbatim buyer evidence
Why you lose
Their strength against your weakness
Headwinds and tailwinds
What changed this quarter
Recommended actions
8, ordered by impact, with owner and timing
Account watchlist
Named accounts with Fastlane in scope
Method
Every claim tied to an account, call date and deal
EXCERPT · RECOMMENDED ACTIONS
ACTION 1 OF 8, IN FULL
Make value the first conversation, not the last

You lose to Fastlane when the number arrives before the value does. When value is quantified first, your higher price holds, even against a cheaper quote.

BUILD
A total-cost model with what Fastlane’s price leaves out: failed releases, manual test hours, time lost to drift, audit risk.
ANCHOR
In buyers’ own evidence, not vendor claims (below).
SHIP
A one-page field asset and calculator, in every rep’s hands before the Q4 renewal wave.
OWNER
Value engineering, with competitive intelligence and enablement · before Q4
THE EVIDENCE, FROM YOUR DEALS
The bar is high. One buyer, weighing you against Fastlane, asked whether you’re worth six figures.
Fastlane’s quote isn’t the full cost. One buyer found about $4K a month in costs that never appeared in Fastlane’s quote.
Faster releases justify the premium. A staffing firm paid twice Fastlane’s price because releases went from six hours to one.
“If there was no price tag, would you be choosing [you]?”
IT services buyer · March · lost · Call · Deal
WIN-LOSS BATTLEGROUNDS · SAMPLE~300 SIGNALS · ~90 WON AND LOST DEALS
Competing against Fastlane
Release management software · Fastlane is the lighter, cheaper tool buyers know well
BOTTOM LINE

Buyers don’t decide by industry or size. They decide by which part of their release process hurts most. Find that first: it tells the rep whether to attack or defend, and it is the best way to defuse price.

Recommendation: steer every deal toward the six offense battlegrounds. Clear the bar fast on comparison and setup, then move on. On price, reframe to total cost before the number decides.

BATTLEGROUND MAP
WHERE BUYERS DECIDEPOSTUREYOUR RECORD
Pipeline and release orchestration
OFFENSE
Strong, core wins
Keeping environments in sync
OFFENSE
Strong, clearest edge
Testing inside the pipeline
OFFENSE
Strong, named wins
Governance and audit
OFFENSE
Strong, structural edge
Format migration
OFFENSE
Emerging, winnable
Releases beyond one system
OFFENSE
Moderate, winnable
Comparing environments
PARITY
Uphill, their turf
Ease of setup
PARITY
Their home turf
Price and total cost
DEFENSE
Mixed, reframe needed
Offense Fastlane is weaker: lead hereParity match, then pivotDefense neutralize and redirect
WHAT’S INSIDE
How to use it
Diagnose the deciding battleground first
Battleground map
9 battlegrounds, posture and your record
9 plays
Context, Fastlane’s position, ask, say, do, show, avoid
Why you win, why you lose
Per battleground, in quotes from won and lost deals
The one move that wins
The steer that applies to every deal
Method
Sources, time window, what’s claimed and what isn’t
EXCERPT · THE PLAYS
BATTLEGROUND 2 OF 9, IN FULL
Keeping environments in sync · OFFENSE

Teams with several environments need production changes to flow back down automatically, or developers build on stale copies and overwrite each other. The single most-cited structural difference in what buyers say.

Fastlane’s position: buyers describe it as manual. Hand-picked changes, drift, and overwrites when test environments aren’t refreshed.

ASK
When production changes, how do your dev and test environments get those changes back: automatically, or by manual refresh?
SAY
Every environment stays in sync on its own, so developers always build against what’s really in production.
DO
Count how often they refresh by hand, and what a missed sync has cost them.
SHOW
A production release flowing back down to every environment, untouched.
AVOID
Treating this as a sub-feature of the pipeline. For scaling teams it’s often the deciding capability. Name it.
WHY YOU WIN
Automatic sync removes the drift and overwrites buyers fight on Fastlane.
“we’re still dealing with manual … environment drift across our orgs”
Payroll services buyer · September · won · Call · Deal
WHY YOU LOSE
After a migration, your own sync confuses buyers if conflict rules aren’t set up. Onboarding must cover it.
“six to seven hours of work to manage partial releases and synchronization”
Security software buyer · July · lost · Call · Deal
DEAL BATTLE PLANS · SAMPLE~250 SIGNALS · 57 OPEN DEALS
Open deals with Fastlane in play
Release management software · every open deal where Fastlane was genuinely discussed
BOTTOM LINE

You win when the conversation moves off price and simplicity and onto governance, sync, testing and scale. Known renewal dates convert best, yet almost none are tracked as close dates.

Recommendation: tag every deal in your CRM with its play and battleground, give each critical and high deal an owner in sales, solutions, value engineering and product marketing, and review them weekly. Log every known Fastlane renewal as a managed close date.

BY SEVERITY · BY PLAY

Severity is how close the buyer is to choosing Fastlane and what’s at stake, not deal size.

1
CRITICAL
14
HIGH
17
ELEVATED
25
WATCH
Play 1 · Rip and replace
Fastlane is in place; a renewal or licence expiry forces the decision
9 deals
Play 2 · Head-to-head bake-off
Final-round comparisons; own the scorecard before Fastlane frames it
21 deals
Play 3 · Solution-fit wins
Fastlane’s gaps are the reason they’re buying
17 deals
Play 4 · Parity defense
Buyers benchmarking you against what Fastlane does well
10 deals
WHAT’S INSIDE
Executive summary
Why you win and lose against Fastlane, and the deals that need attention now
What wins against Fastlane
5 levers, each with a reference win you can point to
4 plays, 57 deals
Grouped by the play that wins them
Every deal
Severity, battleground, threat, plan of attack, watch-out
Buyer evidence
A dated quote from each deal’s calls
Revenue signal
The pattern across the whole pipeline
EXCERPT · PLAY 1, RIP AND REPLACE
DEAL 4 OF 57, IN FULL
Halden Media
HIGHNew customer · media · $200–600K · on Fastlane today, renewal in the spring
BATTLEGROUND
Price and total cost (defense). Don’t argue sticker price; put Fastlane’s full cost on the table.
THREAT
Fastlane’s quote is lower and the buyer is comparing line by line. But the team spends about $4K a month on add-ons and manual release work that never appeared in that quote.
PLAN
Build their total cost with them: Fastlane’s quote plus the ~$4K a month it left out. Then show the release time you save, starting with the approval bottleneck they raised.
WATCH-OUT
If the comparison stays on sticker price, Fastlane wins. Get the full-cost number to the economic buyer before the final proposal.
OWNER · WHEN
Account executive with the value engineer · full-cost number to the economic buyer before the final proposal
“the quote looked cheaper … but we’re paying every month for things it doesn’t cover”
Halden Media · March · Call · Deal
Reference win to point to: Corvel Staffing paid twice Fastlane’s price because releases went from six hours to one. Deal · Call
CASE STUDY · SAMPLE~180 SIGNALS · ~30 PRE- AND POST-SALES CALLS
Stopping 18,000 account takeovers a week
Larkspur, a large online marketplace · threat intelligence software · told by its threat intelligence team
BOTTOM LINE

About 18,000 compromised accounts reset in one week, and about $500K in takeover losses avoided. At that rate, the platform paid for itself within weeks.

Recommendation: use it with security and fraud buyers who have to justify spend in dollars, and where value has to be proven before they buy. Lead with losses avoided, then precision: catching fraud without blocking good customers.

~18,000
compromised accounts reset in a single week
~$500K
takeover losses avoided in that week
~1,700
of those were seller accounts
THE STORY ON ONE PAGE
PROBLEM
Account takeover, counterfeit and refund-fraud rings moving faster than analysts could track by hand. Shoppers reuse passwords, so a leak anywhere opens an account here.
WHY NOW
Takeover losses were a known weekly cost, and manual investigation could no longer keep pace.
LOOKED FOR
Accuracy high enough to act on at volume, vetted data over their own crawler, and searches keyword tools couldn’t do.
PUT IN PLACE
Prevention: risky merchant sites screened before they reach customers. Protection: leaked credentials routed to force a reset before an attacker gets in.
VALUE
Losses avoided every week, risky sellers stopped at the door, and analysts working leads instead of combing search results.
WHY YOU
Accuracy, by their own comparison with vendors supplying more raw data.
WHAT’S INSIDE
Overview
The team, the stakes, and why they acted now
The challenge
3 problems, each in the customer’s words
The solution
Two defenses, and the investigation work they changed
The value
Losses avoided, customer trust, precision
Why they chose you
Accuracy, vetted data, what rivals couldn’t do
Takeaways
4 lessons for marketplace security teams
EXCERPT · THE VALUE
SECTION 4 OF 6, IN FULL
Paid for itself within weeks

In one week, about 18,000 compromised accounts were reset before an attacker could use them, about 1,700 of them sellers. At under $30 per takeover, that is about $500K in losses headed off in a single week, every week.

LOSSES
A recurring weekly figure in the business’s own currency, the anchor for the business case.
TRUST
Merchant sites that turn risky are blocked at onboarding or pulled before customers buy from them.
PRECISION
At this scale a control that misfires hits millions of good shoppers, so they tuned for true positives, not volume.
TIME
Leads arrive ready to work, instead of seven or eight pages of search results per case.
“we really kind of focus on the false positives and true positives we want to create like really refined process because of, the friction that may occur on these potentially good customers.”
Senior manager, threat intelligence, Larkspur · November · Call · Deal
“you have like, the best, you know, efficacy rate by quite a lot”
Threat analyst, Larkspur · November · Call · Deal
JUST-IN-TIME ACTIONS

~25 open deals whose situation matches Larkspur’s: the same problem, the same decision criteria, at a point where a peer’s story can move the deal forward.

DEALTHE SIGNALTHE MOVE · WHO · WHEN
Pinecrest Payments
~$300K · new logo · Evaluation
The CFO asked for losses avoided before approving spendSignal · call Oct 30 · CallSend the story, led with the weekly losses figureAccount executive · before the next call, Nov 4
Ostara Travel
~$180K · new logo · Business case
The fraud team worries about friction for genuine customersSignal · call Oct 31 · CallWalk them through the precision section with their own volumesSales engineer · before the next call, Nov 5
Brindle Market
~$240K · new logo · Shortlist
The same seller-account takeover problem Larkspur hadSignal · call Oct 28 · CallShare the story, led by the seller-account section; flag the deal to customer marketing as a reference candidateAccount executive, customer marketing · before the next call, Nov 6
DEAL FRICTION ANALYSIS · SAMPLE~1,200 SIGNALS · ~180 DEALS
Three things losing deals before price
Content platform software · open pre-sales deals · last 90, 180 and 365 days · for the CRO and go-to-market leaders
BOTTOM LINE

Buyers have stopped arguing about price. Over the year, the three loudest objections were about affordability. In the last 90 days all three fell out of the top eight, replaced by architecture fit, security and packaging limits. These don’t get negotiated: they go to a reviewer you never meet, or they end the evaluation before value comes up. The constraint has moved from willingness to pay to permission to proceed.

Recommendation: five moves across four teams, none touching list price. An architecture gate in first-call discovery, an integration reference library, a reviewer-ready security pack, a review of which tier limits block revenue, and billing options offered as product rather than conceded under pressure.

WHAT MOVED · OBJECTION RANK, FULL YEAR → LAST 90 DAYS
Architecture and integration fit▲ 9th → 1st
Security and access control▲ up 12 places → top 3
Internal resourcing▼ 1st → outside top 8
Budget ceilings▼ 2nd → outside top 8
Competitor pricing▼ 3rd → outside top 8
Ranked by movement between windows, not by volume, so what’s rising stands out from what’s merely loud.
WHERE DEALS ARE LOST, AND WHO OWNS THE FIX
FRICTIONWHAT THE BUYER TESTSHOW THE DEAL FAILSOWNERS
Architecture and integration fitHosting, data residency, named connectors to commerce, ERP, search and translationSilently disqualified in the first or second callProduct, sales engineering
Security and access controlSingle sign-on, MFA, private assets, permissions, deletion guardrails, complianceParked in a security or legal queue with no clockProduct, security, product marketing
Packaging and commercial limitsTier ceilings on environments, entries, API volume; where single sign-on sitsA growth-sized budget forced into an enterprise quote, then no decisionProduct marketing, pricing, product operations
WHAT’S INSIDE
The argument
What moved, and why it costs more than its volume
Architecture and integration fit
11 requirements buyers named, and what clears them
Security and access control
13 controls, and a reviewer-ready pack
Packaging and commercial limits
7 tier ceilings, and the terms buyers set
Watchlist
3 themes moving but not yet decisive
Actions
5 moves, each with an owner
EXCERPT · ARCHITECTURE AND INTEGRATION FIT
SECTION 1 OF 5, ABRIDGED
From “can you connect?” to “if you can’t, we stop”

The loudest pre-sales objection of the last 90 days, up from ninth across the year: ~100 decision-criteria signals across ~45 deals. Buyers no longer ask whether you can connect to something; they say the evaluation ends if you can’t.

REQUIREMENTWHAT THE BUYER NEEDSOPEN · PIPELINE · LOST
Own-cloud or dedicated hostingRun on their own infrastructure or a dedicated environment. Shared cloud only is a blocker, not a preference.~15 open · ~$2.1M · 6 loste.g. Linden Bank · Corra Telecom · Deals
Data residency in the EUChoose server location for GDPR and DORA, without moving up a tier.~10 open · ~$1.4M · 4 loste.g. Wexford Insurance · Ostrava Software · Deals
Commerce product dataFilter product data inside the editor; it is the daily workflow being replaced.~5 open · ~$0.6M · 2 loste.g. Pellam Home · Corbin Outfitters · Deals
Existing CMS as a sourceKeep the current CMS feeding other systems; no full replacement.~10 open · ~$0.9M · 3 loste.g. Harlow University · Linden Bank · Deals
Translation toolsSplit long rich text into translatable units.~5 open · ~$0.4M · 1 loste.g. Fenn Pay · Deal
“this is like a filter to understand if we can continue with you or not”
Digital lead, a bank · July · Call · Deal
“I don’t think that’ll work for us then because we also feed other systems from our [current CMS] as well.”
Web manager, a university · May · Call · Deal

It runs your way where the integration already exists: one buyer choosing a translation vendor made your connector the entry condition for its whole shortlist.

TO CLEAR
Working reference implementations for each named system, not capability claims, and a hosting position a sales engineer can state in the first call without escalating.
OWNERS
Product, with sales engineering.
JUST-IN-TIME ACTIONS

~45 open deals stuck at one of the three blockers right now, each routed to the team that clears it.

DEALTHE SIGNALTHE MOVE · WHO · WHEN
Arlo Bank
~$150K · new logo · Evaluation
Asked for own-cloud hosting on the first callSignal · call Oct 30 · CallState the hosting position now, without escalatingSales engineer · before the next call, Nov 4
Wexford Insurance
~$95K · new logo · Security review
Waiting on single sign-on detail and a DORA annexSignal · call Oct 31 · CallSend the reviewer-ready security packSales engineer, security · before the next call, Nov 5
Tallis Studio
~$40K · new logo · Proposal
A growth-sized budget forced into an enterprise quoteSignal · call Oct 28 · CallOffer a packaging option before it goes to no decisionAccount executive, pricing · before the next call, Nov 6
SALES PLAYBOOK · SAMPLE~400 SIGNALS · ~150 ACCOUNTS
Why buyers choose you
Content platform software · 5 value pillars · last 90 days of recorded calls · for account executives and sales engineers
BOTTOM LINE

Buyers don’t open by naming a product category. They open with brands they can’t govern, a content model they’ve outgrown, a legal translation requirement, or marketers stuck in a developer queue. Five asks account for most of what they say, and each maps to something you do well.

Recommendation: qualify on the tell, lead with the pillar it points to, and run that pillar’s play: what to ask, say, show and avoid. Name the setup effort early; buyers trust it more than finding out in week three.

POINT OF VIEW · WHERE THE CATEGORY IS HEADING
FROMTO
A site per brand, rebuilt for every marketOne content layer serving every brand, market and channel
Content locked in pages only developers can changeStructured content marketers publish themselves, under rules
Content built for people to readContent people and machines read: assistants, search, partner systems

Why it matters to buyers: their growth now outpaces what page-built systems can carry. Every new brand, market or channel becomes another rebuild, another translation project, another developer queue.

Where you fit: the structured, governed content layer under all of it. The five pillars are how buyers experience that, one problem at a time.

THE 5 PILLARS · RANKED BY WHAT BUYERS SAY
PILLARRANK · SIGNALSTHE TELLPERSONAS INVOLVEDWIN RATE
1 · Run every brand and market on one platform#1 use case
~65 across ~35 accounts
3+ brands, banners or country sites on separate systems, and local teams that won’t accept being overwritten centrallyExecutives, platform owners45% · 20 wins
2 · Model content the way the business works#1 criterion
~60 across ~30 accounts
Content with real relationships on a rigid or home-built system, where a new field needs a developer and a releasePlatform owners, architects40% · 15 wins
3 · Localize without a translation project#2 criterion
~55 across ~30 accounts
A language requirement with legal force, or locales growing faster than the system allowsPlatform owners, marketing50% · 10 wins
4 · Let marketers ship without engineers#3 criterion
~50 across ~30 accounts
Someone can name the delay in hours or days, and there’s no dedicated front-end developerMarketing and brand, platform owners45% · 20 wins
5 · Bring content and data into one API#1 feature
~25 across ~20 accounts
Product or customer data in another system has to meet editorial content, held together by sync jobsArchitects55% · 10 wins
WHAT’S INSIDE
Point of view
Where the category is heading, why it matters to buyers and their industries
Positioning and value
Who to target and who to rule out, the core message, how the 5 pillars add up, how you’re different, what not to claim
The 5 pillars
Each with the pain and its cost, what buyers ask, why you win, proof, the tell, good and poor fit, personas involved, the play and outcomes
What you’re displacing
9 incumbents, as buyers describe them
What forces the timing
5 purchase triggers, ranked
Objections to prepare for
Architecture, security and packaging, and what clears each
EXCERPT · PILLAR 4, LET MARKETERS SHIP WITHOUT ENGINEERS
PILLAR 4 OF 5, IN FULL · ~50 SIGNALS ACROSS ~30 ACCOUNTS, THE WIDEST SPREAD OF ANY CRITERION

The pain. Every routine change waits in a developer queue (~20 signals across ~15 accounts). The cost: an article takes four to six hours to reach production, a product page update up to half a day, and campaigns move at the speed of engineering, not marketing.

“at a minimum four to six hours”
Marketing director, an agency · June, on publishing one article · Call · Deal

What buyers ask for. Visual editing, live preview, component libraries and role-based access, so editors and regional teams can work without a developer queue.

Why you win. Click-to-edit with live preview is the most reacted-to moment in the data, and custom roles give autonomy without giving up control.

PROOF
“giving the marketing team more power versus relying on a web dev team”
Marketing lead, a retailer · June · Call · Deal
“one of the keys that we wanted to get out of [you] was to enable the business to maintain… their own things”
Digital lead, a furniture retailer · August · Call · Deal
“the editor’s role then becomes more of an auditor rather than a generator and publisher”
Content lead, a media company · August · Call · Deal
RECORD
Built from ~20 won deals. Win rate 45% when this pillar led, against 30% across all deals.
THE TELL
Teams where routine changes wait hours or days for a developer, a sizeable marketing team with no front-end developer, and a need for autonomy and role-based control together, often for regulatory reasons.
GOOD FIT
A campaign-heavy marketing team of five or more with no front-end developer of its own; a modern front-end stack already in place; regulated or partner-facing teams that need publishing rights split by role or region.
POOR FIT
A single site whose developers already own content and like it that way; buyers expecting no developer at all, even for setup; small sites buying on entry price, who read enterprise headroom as paying for someone else’s scale.
PERSONAS
Marketing and brand managers want speed; platform owners need governance held while editors work alone. Lead with the first, close with the second.
ASK
Walk me through what happens today when marketing wants a new landing page. Who has to be involved?
How often do editors need a developer for a routine update?
What has to stay locked down, and who must not be able to publish what?
SAY
Editors work in live preview against the real page, not a form that renders somewhere else.
Role-based access means autonomy without losing governance; here they’re not a trade-off.
Developers stop being a content queue and go back to building.
SHOW AND DO
Click-to-edit on a real page with live preview.
Custom views: editors see their own content, filtered their way, not the whole model.
Role creation, especially for a regulated or partner-facing audience.
AVOID
Showing the schema tree to editors; nested models are the most-cited first impression problem.
Claiming zero developer involvement. Setup and custom roles still need one, and overclaiming undermines the pillar.
Skipping the onboarding and training question.
OUTCOMES BUYERS REPORT
“publish articles and responses in 30 minutes as opposed to a day”
Marketing director, an agency · July · Call · Deal
“we see faster site speed, lower frustration rate, higher conversion rate”
Ecommerce lead, a retailer · July · Call · Deal
JUST-IN-TIME ACTIONS

~40 open deals where a pillar’s tell is live on their calls right now, each matched to the play to run next.

DEALTHE SIGNALTHE MOVE · WHO · WHEN
Morrow Hotels
~$120K · new logo · Discovery
Nine brand sites on separate systems; local teams want controlSignal · call Oct 30 · CallPillar 1: run the two-brand schema demoAccount executive, sales engineer · before the next call, Nov 4
Linden University
~$65K · new logo · Evaluation
A legal bilingual requirement, and locales growingSignal · call Oct 31 · CallPillar 3: show locale fallback on their own contentSales engineer · before the next call, Nov 5
Crestline Retail
~$90K · new logo · Demo
Marketing waits up to a day for a page updateSignal · call Oct 28 · CallPillar 4: click-to-edit with live preview; keep the schema tree outSales engineer · before the next call, Nov 6
PIPELINE COACHING · SAMPLE~600 SIGNALS · 10 DEALS
One rep’s open book
Enterprise account executive · ~$1.47M open · threat intelligence software · the same view rolls up to a team, region or company
BOTTOM LINE

This book is won on proof in the buyer’s own environment. The risk sits in three places: the nearest close has the thinnest call coverage, the largest expansion rides on reliability that isn’t proven yet, and the biggest new logo has no executive in it.

Recommendation: confirm Meridian Bank’s real stage with the rep this week. Put a fix-and-prove plan on Fenwick Pharma, and an executive sponsor on Ardent Systems. Then win the trial at Osprey Logistics and clear the data-residency review blocking the trial at Corvane Health.

~$1.47M
open across 10 deals
~$355K
largest deal, and its core use case isn’t working yet
3
deals that look safe in the forecast but aren’t
THE SCORECARD · EVERY OPEN DEAL BY BUYER GATE, MOST EXPOSED FIRST
Gates: why now · solution fit · business case · transaction · buying committee✓ pass• caution✕ warning! wall– no signal
DEALNOWFITCASETERMSBUYERSLEAD PLAY
Fenwick PharmaCRITICAL
~$355K · expansion · Alignment
•✕•••
RELIABILITY core use case misfiring on their own feeds
Meridian BankCRITICAL
~$170K · new logo · Negotiation
••––•
CONFIRM thin coverage for the stage
HIGH
~$450K · new logo · Validation
•✓✕✕✕
SPONSOR executive plus side-by-side vs Halyard
Talus EnergyHIGH
~$80K · expansion · Alignment
✓••✕•
PAPER start procurement and security review
Corvane HealthHIGH
~$65K · new logo · Validation
–✕•!✕
UNBLOCK data-residency review stops the trial
Calder TelecomHIGH
~$105K · expansion · Negotiation
•••✕•
COMMERCIAL proof done, licensing is the gate
Osprey LogisticsHIGH
~$50K · new logo · Validation
•✕✕✕•
WIN TRIAL beat the incumbent or it fails
Quillon GamesELEVATED
~$80K · expansion · Alignment
•••••
PROVE automation, then manager sign-off
Halberd ManufacturingELEVATED
~$80K · new logo · Alignment
•••••
PROVE detection coverage for leadership
Northvale UtilitiesELEVATED
~$35K · expansion · Validation
•!•••
SCOPE a stated product limit on their plant systems
Deal size, stage and close date from CRM. Gates read from each deal’s own calls. Click a deal for its full review.
COVERAGE

Next quarter’s pipeline covers the target 1.8 times, against the 3 times this team usually needs. That leaves a gap of about $700K. The pipeline strategist operator has two campaigns ready for this territory.

Winback: 3 lost accounts in this territoryEach within six months of an estimated competitor renewal~$400K potential · playbooks ready
Campaign idea: data-residency reviews in healthcareRaised in 7 of the rep’s calls this quarter; 6 look-alike accounts in territory~$350K potential · opening message drafted
WHAT’S INSIDE
The read on this book
What decides this book, and where the money is exposed
Looks safe, isn’t
3 deals where the calls contradict the forecast
The scorecard
10 deals by 5 buyer gates, with a lead play
What to do
6 plays, each grouping the deals it wins
Deal by deal
Every gate: status, the move, one quote
EXCERPT · RECOMMENDED PLAYS · LOOKS SAFE, ISN’T

Deals whose stage looks like progress but whose calls tell a thinner story. Each deal owner gets the play, and the manager gets the flag.

DEALWHAT THE CALLS SAYRECOMMENDED PLAY · WHO · WHEN
Meridian Bank
~$170K · new logo · Negotiation
Calls read mid-evaluation: no pricing, budget or approver capturedSignal · call Oct 28 · CallConfirm the stage, then run discovery on budget and approver; reset the close date to matchAccount executive, with manager · this week
Fenwick Pharma
~$355K · expansion · Alignment
Core use case misfiring on the buyer’s own feeds: “we can’t put alerts in front of the SOC that we don’t trust.”Signal · call Oct 30 · CallReliability save: fix it, prove it on their data, then talk termsAccount manager, sales engineer · before the next call, Nov 5
Ardent Systems
~$450K · new logo · Validation
Champion asking for pricing; no executive on a call, no metrics agreed, paper process not startedSignal · call Oct 31 · CallTurn the champion’s offered leadership call into a sponsor, then run the side-by-side against HalyardAccount executive · before the next call, Nov 6
DEAL REVIEW · SAMPLE12 CALLS · ~150 SIGNALS · 5 SIMILAR WINS
Ardent Systems
New logo ~$450K · threat intelligence software · competing against Halyard, the incumbent
Overall: yellow, winnableStrong on pain and fit; at risk until an executive, metrics and the paper process are in place
BOTTOM LINE

Winnable. The technical case is strong; the commercial case hasn’t been built. A capable analyst champion and real pain with Halyard, but no executive in the deal, no date tied to the Halyard renewal, and no side-by-side proof yet.

Recommendation: do what your wins against Halyard did. Pin a date to their renewal, turn the champion’s offered leadership call into an executive sponsor, run the side-by-side test the buyer proposed, and land a price at or below Halyard spend 90 days before it expires.

DEAL HEALTH

Graded on the dimensions of MEDDPICC, plus compelling event, commercials and technical fit. Three reds, all on the selling side. Pain, criteria and technical fit are the deal’s strongest assets.

PainGREENNamed and specific: Halyard is expensive, noisy, tuned to the wrong industry, and slow to act on.
MetricsREDNone agreed. Leadership wants measured, incident-level proof, not efficiency claims.
Economic buyerREDThe CISO and the champion’s manager are the named audience. Neither has joined a call.
Decision criteriaGREENClear: output at least equal to Halyard on the same alerts, evidence behind every verdict, detection rules, integrations.
Decision processYELLOWBuyer’s own plan: side-by-side test, then a cost-and-AI case for leadership. Not yet scheduled.
Paper processREDProcurement, legal and security review not yet discussed. Expect an AI review.
ChampionYELLOWThe CTI analyst runs the evaluation, asked for pricing and offered a CISO call, but holds no budget.
CompetitionYELLOWHalyard is incumbent across four modules. You lead on relevance and evidence; you must prove output parity.
Compelling eventYELLOWHalyard ends next year, date unconfirmed. A recent defense-tech acquisition adds geopolitical urgency.
CommercialYELLOWPricing discussed with the champion alone. A five-seat limit flagged as a blocker.
Technical fitGREENStrong reactions to evidence behind risk scores, detection rules and identity exposure.
WHAT’S INSIDE
Why they’re buying
5 pains, 2 triggers, 4 use cases, each with a dated source
Decision context
What they require, and how they’ll decide
Buying committee
8 people or teams: role, stance, next move
Competition
Where you beat Halyard, where it beats you
What similar wins did
5 wins against Halyard and like it, against this deal
Path to win
5 recommended plays from similar wins, with owners, timing and exit criteria
Next call
6 questions, each tied to a red or yellow
EXCERPT · RECOMMENDED PLAYS · FROM SIMILAR WINS

Your wins against Halyard followed one sequence. The deal owner gets each step as a play, with who and when, tied to the gap it closes.

RECOMMENDED PLAYWHAT SIMILAR WINS DIDTHIS DEAL TODAY · WHO · WHEN
PLAY 1
Pin the date
A ~$205K win set a drop-dead date tied to its Halyard renewal.Won, March · Call · Deal“Next year”, date unconfirmed; close date not tied to a buyer dateAccount executive · next call, Nov 4
PLAY 2
Executive alignment
Deputy CISO and SVPs joined calls before and after close; one ~$310K win needed AI, security and legal sign-off.2 wins, May and July · Calls · DealsNo executive in the deal; champion has offered a CISO callAccount executive, with sales leader · by Nov 12
PLAY 3
Side-by-side against Halyard
A ~$200K win scored your risk ratings on its own blocked IPs.Won, June · Call · DealBuyer proposed the test; not yet scheduledSales engineer, champion · 4 weeks, after the sponsor meeting
PLAY 4
Price at or under Halyard
A ~$70K win signed once you came in under Halyard’s offer.Won, August · Call · DealPricing requested; no reaction yetAccount executive, deal desk · 90 days before Halyard expires
PLAY 5
Broad access, services-led switch
Services to limit staff time, and unlimited user access.3 wins · DealsBusy team; five-seat limit flaggedAccount executive, services · with the proposal
PLAY 3, IN FULL
Run the side-by-side on their own alerts

Run real agency notifications, bare IPs and hashes, through both tools. Score relevance, the evidence behind each verdict, detection-rule output, subdomain coverage and export to their response tooling.

Threat response lead and champion · 4 weeks, after the sponsor meeting
ASK
Which recent agency notifications can we run through both tools? Who on the threat response team signs off the result?
SAY
Judge us on your own alerts, not our demo. If we’re not at least equal to Halyard on relevance and evidence, you’ll see it in the scorecard.
DO
Agree the scoring criteria in writing before the test starts. Load real IPs and hashes, run both tools side by side, and walk the results with the threat response lead.
AVOID
Testing on our sample data, or scoring on volume. Buyers here judge on relevance and the evidence behind each verdict.
EXIT
A written scorecard, signed off by the threat response lead, showing parity or better against Halyard.
WHY
Leadership judges on cost and AI. Soft efficiency claims have to become measured, incident-level proof.
“what I want from you is, why do you think this is malicious? What kind of traffic have you seen to this?”
Threat response lead, Ardent Systems · April · Call · Deal
“we checked it in [Halyard] and we checked it in [you] and it’s either almost identical or [you are] actually better”
CTI analyst, Ardent Systems · April · Call · Deal
ACCOUNT BRIEF · SAMPLE~250 SIGNALS · 25 RECORDED CALLS
Acme Co.
Renewal ~$2.0M · closes in four months · rolled out across several teams
Health: red, trending down
BOTTOM LINE

The product is embedded across teams. The open question is whether it still delivers: leaders questioned it after a run of service issues, new leaders have since arrived, and no substantial call has been recorded in five months.

Recommendation: get in front of the executives and new leaders this month with a recovery plan and a dated upgrade, and put the order form with procurement by early January.

ADOPTION JOURNEY

Live across teams, but reliability slipped last winter, a required upgrade hasn't started, and no value figure is stated.

Commit
Full renewals two years running
Connect
Key systems integrated
Implement
Required upgrade not started
Live
In daily use across teams
Reliable
Service issues last winter
Standardized
Common process set; one region pending
Proven value
No value figure stated
PRODUCT TRACKS
Integrations
Custom link; native one planned
Add-on module
Bought, never deployed
AI features
Piloted; held up in security review
Scale-out
Second region live; one team partly onboarded
Reached In progress or slipped Stalled Not yet
ACCOUNT SCORECARD

The grade is a judgement, not a formula. It weighs this account's own history against what came before full and lost renewals in your past deals.

RED MARKERS3 of 6
Reliability getting worseNo substantial call in 90+ daysValue doubt unanswered 30+ days
YELLOW MARKERS3 of 5
Stuck at an upgradeOpen concerns with no ownerA purchased module unused
GREEN TRAITS0 of 4
Reliable service: missingValue metric stated: missingExecutive champion: unknown
WHAT'S INSIDE
Snapshot
Renewal, last cycle, champion, alternative, health
Lay of the land
Their goals, how the year went, the last 90 days
Solution in place
12 components: status, who uses them, for what
Outcomes
7 expected: 1 met, 2 partly, 4 not yet
Risk drivers
4 risks, each with dated customer quotes
Alternatives
No competitor; their own tooling taking share
Against healthy renewals
5 traits from 500+ of your closed renewals and expansions
People and next moves
8 stakeholders: role, stance, next move
Path to green
6 plays with owners, windows, talking points
EXCERPT · RECOMMENDED PLAYS · FROM SIMILAR RENEWALS

The three gaps that most separate full renewals from lost ones, open at Acme right now. The account team gets each as a play, with who and when.

RECOMMENDED PLAYWHAT SIMILAR RENEWALS DIDTHIS ACCOUNT TODAY · WHO · WHEN
PLAY 1
Re-engage the quiet account
Kept substantive calls going: 38% of lost renewals went quiet, against 20% of full ones.~120 full renewals · DealsNo substantial call since June; new leaders not yet metAccount manager, with executive sponsor · by Nov 15
PLAY 2
Run the upgrade as a dated, bundled project
Had a plan with an owner and a date: 52% of full renewals, 5% of lost ones.~60 full renewals · DealsRequired upgrade not started; no plan or ownerAccount manager, services lead · plan agreed by Nov 30
PLAY 3
Run a get-well plan on their own numbers
Answered value questions: only 3% of full renewals left one open, against 18% of lost ones.~40 renewals after service issues · DealsValue questioned since last winter’s service issues; no value figure statedSolution architect, with their platform lead · before procurement starts, December
PLAY 3, IN FULL
Answer the value question with Acme's own numbers

Pilot the fix on one team, measure processing time and backlog against the six-to-nine-hour peaks seen in May, and remove the duplicate approval step.

Solution architect with their platform lead · before procurement starts (December)
Talking points: this play decides the renewal.
ASK
Which team can we pilot with, and what peak processing time would you call good enough?
SAY
Your teams should only have to approve once. We'll publish the before-and-after numbers to your leadership.
SHOW
Peak processing time and backlog, before and after the pilot.
AVOID
Workarounds that make teams chase each other; they said those failed before. Calling an issue fixed without a root cause; they asked for proof, not absence.

How operators work with your team

Every operator joins your team like a new hire, with one difference: we stay responsible for how well it works.

{{ c.who }}
{{ c.title }}
{{ i.k }}
{{ i.t }}
How you start
{{ s.n }}
{{ s.h }}
{{ s.t }}

Tell us what GTM challenges are putting your plan at risk.

Start a conversation
Tribyl
The GTM operating system.
PRODUCT
AI operators
TRUST
SecurityPrivacy policyTerms of service
CONTACT
Start a conversationtribylsales@tribyl.comLinkedIn
© 2026 Tribyl, Inc. All rights reserved.
Privacy policyTerms of service