Frontier system · Sales · 6 stages · updated 2026-10-23
Closed-lost and competitor displacement engine
Mines your CRM and public data for accounts you can win back or take from a competitor, researches each one, and writes outreach that references the real history.
1Is this my problem?
Closed-lost deals and competitor-held accounts sit untouched although they are the warmest pipeline you have.
You'll recognise this if…
- Hundreds of closed-lost opportunities with good notes and no follow-up.
- Reps don't know which target accounts use which competitor.
- Re-engagement is a generic "just checking in" email.
2Is this solution worth it?
Reported results
- Sendoso's first campaign: 16 meetings, 23 leads, 75% open rate, 11% response rate (source)
- A-LIGN: replaced a $60K manual research contract; $6.8M pipeline and $3.3M closed revenue (source)
Quoted from the linked source. Results vary by company and setup.
Your ROI, with the assumptions shown
Prefilled with our illustrative assumptions for a typical team (10 h/week of manual work at $60/h, 60% automated). Change them to your numbers.
Limits and when not to build it
Not useful if your CRM notes are empty or your market has no clear incumbents.
Guardrails it needs
- Verify contacts still work at the company.
- Research claims are spot-checked before use.
- No false claims about competitors.
3How does it work?
The agency builds you one internal tool, Win-back Desk, that runs the whole process. Watch it work on a sample case:
Pick a sample on the left and press Run example to watch Win-back Desk work through a case step by step.
Your tool connects to
Most of it is ordinary automation. AI agents handle 3 of 6 steps, and people approve at 1 checkpoint.
Under the hood: stages, vendors and the learning loop
AI agent Automation Human checkpoint
- 1Pull history
Closed-lost deals, old meetings and pre-call notes from Salesforce.
SalesforceClayAutomation - 2Research the incumbent
Claygent checks each target account for 15 services: do they use it, who provides it, why.
ClayClaygentAI agentDecides: Who is the incumbent and why - 3Summarise why now
Summarises old notes and new findings into one reason to reconnect.
ChatGPTClaudeAI agentDecides: Choose the reason - 4Write outreach
Personal email that names the AE and the last conversation.
ClayClaudeAI agent - 5Review
Team approves campaign and lists.
Sales leadHuman - 6Sequence
Send and track in Instantly; results back to Salesforce.
InstantlySalesforceAutomation
Replies and meetings by segment and competitor show which displacement angles work; those angles are promoted in the prompt and dead ones removed each month.
Example run
Illustrative sample data showing what moves between stages. Not taken from the sources.
- 1Pull history · in
Salesforce: closed-lost 2024-2025out312 deals with notes - 2Research the incumbent · in
initech.comoutUses competitor X for SOC 2 since 2023; renewal likely Q2 - 3Summarise why now · in
Notes + findingsout"Paused for budget in March; now raised Series B" - 4Write outreach · in
ReasonoutEmail from their original AE referencing the March call - 5Review · in
Campaign of 120outApproved; 8 removed (left company) - 6Sequence · in
SequenceoutReply logged to Salesforce
Vendors commonly used
Where AI decides and where people do
- Research the incumbent: Who is the incumbent and why
- Summarise why now: Choose the reason
- Write outreach: Personal email that names the AE and the last conversation.
- Review: Team approves campaign and lists.
Maturity ladder
What each level adds. Most teams start at level 1 or 2 and climb. Highlighted: where this build sits.
- Level 1Basic automation
Export closed-lost deals and send one generic "checking in" email.
- Level 2AI-assisted
An LLM summarises old notes so reps can write their own emails.
- Level 3Autonomous agent
Agents research incumbents, write a reason to reconnect and personal emails; the team approves the campaign.
- Level 4Self-learning system
Reply and meeting rates by competitor and angle promote winning angles and retire the rest monthly.
Building blocks
Start with one of these smaller workflows and add stages.
Pull last year's closed-lost deals and stalled meetings, have an LLM summarise why each prospect originally engaged from the pre-call notes, then send a short personal email that references the AE, the last meeting and that reason..
Competitor displacement research across your TAMA-LIGN replaced a $60K/year manual research contract; 2,000 accounts researched, 1M+ data points, and $6.8M pipeline generated or identified in 6.5 months (as reported by Clay)For every target account, an AI web-research step checks which of your service categories they use, why, and which competitor provides it, then writes the answers into CRM fields reps can filter on..
Signal-based outbound with governed AI researchSaviynt: 60% of reps booked more qualified meetings, with a $32.2M increase in pipeline (as reported by Clay)Ops builds enrichment and contact-finding workflows once (waterfall across many data vendors); reps call them from the AI chat they already use to get account context, buying signals and verified contacts..
Seen in the wild
Links checked 2026-10-23. The pipeline combines patterns from these public builds; we are not affiliated with these companies.
4Who can build it?
Matched on the services, platforms and industries agencies list on their own sites, and on their published projects.
Why matched: Lead generation; Data integration/ETL; uses Salesforce, Claude, Clay.
Example project: Different Digital — Different Digital handed outbound to RevPack. Now high-quality leads land on the CEO's calendar with effectively zero founder involvement.
No published price
Why matched: Lead generation; Data integration/ETL; uses Salesforce, Claude, Clay.
Related project: Coastal Recruiting grew accepted candidate intros 4.7x with OneGTM — How OneGTM built Coastal Recruiting a candidate outbound engine that grew recruiter-accepted intros 4.7x in four months, with interested rep…
Published price: From $167
closedinWhy matched: Lead generation; Data integration/ETL; uses Claude, Salesforce, Clay.
No published price
Alltomate by Miguel Carlos AraoWhy matched: Lead generation; Data integration/ETL; uses Salesforce, Claude.
Example project: Lead Capture Automation Case Study: Dot-Med to Dynamics CRM — See how Alltomate automated Dot-Med inquiries into Microsoft Dynamics CRM, standardizing lead data and eliminating manual entry.
No published price
flowioGlasgow, United KingdomWhy matched: Lead generation; Data integration/ETL; uses Salesforce, Claude.
Example project: AI Automation Case Study: Edinburgh Boiler Company — Discover how flowio used AI Voice and SMS agents to cut lead response times from 1 day to 5 minutes for The Edinburgh Boiler Company.
Published price: From £750
Automation JinnWhy matched: Lead generation; Data integration/ETL; uses Claude, Clay.
No published price
Projects, tools and prices come from each agency's own website (crawled October 2026). Not paid placements.
5What should I do next?
Questions
What is the closed-lost and competitor displacement engine?
Mines your CRM and public data for accounts you can win back or take from a competitor, researches each one, and writes outreach that references the real history.
Who is this for?
B2B companies with 12+ months of CRM history and a known set of competitors, e.g. compliance, security, martech and HR tech vendors, typically 10-200 staff.
When should we not build it?
Not useful if your CRM notes are empty or your market has no clear incumbents.
How does it improve over time?
Replies and meetings by segment and competitor show which displacement angles work; those angles are promoted in the prompt and dead ones removed each month.
What keeps it safe?
Verify contacts still work at the company. Research claims are spot-checked before use. No false claims about competitors.
Who runs something like this?
Seen in the wild: Clay customer story: Sendoso "Wake the Dead"; Clay customer story: A-LIGN.
What does it cost to build?
Our rough estimate for a first production version with an agency: $10k–$30k over 6-12 weeks, plus tool and model usage.