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Categories
AI RevOps
ABM
Signals
Tools
Tools
Description
A complete 2026 ABM framework that turns ICP, TAM, and intent signals into a fully operational, revenue-driving system.
Read moreWatch video on youtube
How it works
-
Analyze 12β24 months of closed-won + closed-lost deals
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Interview top AEs + CSMs for frontline patterns
-
Identify traits of fast buyers, slow buyers, churn risks
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Define firmographic + technographic + behavioural fit signals
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Backtest your ICP against historical conversions to validate accuracy
-
Pull firmographic matches from β¦
Watch a video
Use 2 fingers to drag, zoom in and out
Categories
AI RevOps
ABM
Signals
Tools
Tools
Description
A complete 2026 ABM framework that turns ICP, TAM, and intent signals into a fully operational, revenue-driving system.
Read moreWatch video on youtube
How it works
-
Analyze 12β24 months of closed-won + closed-lost deals
-
Interview top AEs + CSMs for frontline patterns
-
Identify traits of fast buyers, slow buyers, churn risks
-
Define firmographic + technographic + behavioural fit signals
-
Backtest your ICP against historical conversions to validate accuracy
-
Pull firmographic matches from Apollo and Sales Navigator
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Use lookalike tools: DiscoLike, Ocean.io, Clay AI
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Deduplicate by domain + parent company
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Validate industry, size, and segment alignment
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Centralize the TAM map in Clay
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Enrich TAL accounts with fit signals + growth indicators
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Add technographic, hiring, intent, and product-fit signals
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Run account research to surface triggers + pain indicators
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Score accounts using your ICP tiering logic (Tier 1/2/3)
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Sync enriched TAL + tiers back to CRM β Tier 1 gets budget + priority
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Capture 1st-party signals: website visits, product usage, CRM activity
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Capture 2nd-party signals: ad engagement, review site visits, partner data
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Capture 3rd-party signals: job openings, tech changes, social engagement
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Log all signals as custom events inside CRM
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Auto-trigger tasks for reps when priority signals fire
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Send critical alerts to Slack to ensure real-time follow-up
Define the five awareness stages for every account:
- βIdentified: Account exists in your TALβ
- Aware: Has viewed content, ads, or visited your siteβ
- Interested: Shows repeated engagementβ
- Evaluating: Evaluating solutions or engaging with deeper contentβ
- Selecting: High intent, ready for sales interaction
Use scores to:
- Automate stage progression
- Build dynamic lists for marketing & outbound
- Surface βsales-readyβ accounts
β
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Map the full buying committee for each account
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Source verified emails + Linkedin URLs for key personas
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Classify personas as:β
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Tier 1: Decision Maker
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Tier 2: Champion
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Tier 3: User / Influencerβ
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Upload full stakeholder map into CRM
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Tag personas for sequencing, SDR routing, and personalization
Tier 1 (High Fit):
- 1:1 gifting
- Warm intros
- Live events
- Personalized videos
- Custom microsites
- Manual outbound
Tier 2 (Good Fit):
- Semi-personalized sequences
- Persona-cluster campaigns
Tier 3 (Broad Awareness):
- Scaled email outreach
- Social content
- Retargeting ads
- Nurture workflows
Promote Tier 2 & Tier 3 accounts upward when signals or awareness increase.
β
With enriched TAL + tiers + signals + awareness in CRM:
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Auto-generate tasks from custom events
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Send high-priority alerts to Slack
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Give reps a clear daily priority list based on:
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Tier
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Awareness stage
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Intent signals
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Persona influence
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Use data to guide enablement:
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Account digests
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Signal-based playbooks
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Persona-specific messaging
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Tier-specific talk tracks
Track core ABM performance metrics:
- ICP pipeline progression
- Pipeline velocity by segment
- Contacts engaged per account
- Win rate & ACV by tier
- Awareness score movement
- Meetings booked by rep by channel
- Close rate by tier
- Net-new revenue by tier
β
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