Unified TAM Scoring System to Align Sales & Marketing

Compile every company that could potentially buy your product into one master list

Define your ICP broadly and pull every company that fits into a single source-of-truth account list. This could be sourced from LinkedIn Sales Navigator filters, Apollo, or your existing CRM accounts. Export as a CSV or connect directly to Clay. The key is one unified list — no separate sales lists or marketing lists.

Enrich every account with headcount, revenue, industry, and geography

Import the master TAM into Clay and use the FullEnrich integration to pull firmographic data for each account: employee headcount, estimated revenue, industry vertical, and geographic location. This gives a baseline profile for every company in the list and enables filtering by segment.

Identify the tech stack each account currently runs

Use Clay's BuiltWith and TheirStack integrations to identify what software and tools each company currently uses. This reveals integration compatibility, competitive displacement opportunities, and tech sophistication signals. Map these results as additional columns in Clay for scoring use.

Layer in funding rounds, hiring patterns, and growth indicators per account

Within Clay, connect Crunchbase to pull recent funding rounds and investor data. Use PredictLeads to identify job postings and hiring spikes that signal growth or relevant budget areas. Pull LinkedIn Sales Navigator data on headcount growth trends. These signals indicate buying intent and urgency, and become weighted inputs in the scoring model.

Create a weighted scoring formula based on closed-won and churned customer patterns

Analyze your closed-won customer data to identify the firmographic, technographic, and signal attributes that correlate with successful deals. Then analyze churned accounts to identify negative indicators. Build a scoring formula in Clay (using formula columns or a connected spreadsheet) that assigns positive weights to fit attributes and negative weights to churn indicators. Each account receives a composite score.

Segment accounts into Tier 1, 2, and 3 based on composite score

Apply score thresholds to assign every account a tier. Tier 1 (highest scores) gets full sales and marketing resources, personalized outreach sequences, and dedicated attention. Tier 2 gets semi-personalized outreach and targeted ads. Tier 3 goes into long-term nurture campaigns only. Tag each account with its tier directly in Clay and sync to CRM.

Push the scored, tiered account list into the CRM as the shared source of truth

Export the fully enriched and scored account list from Clay into your CRM, mapping tier, score, and key enrichment fields to account properties. Both sales and marketing now access the same account records with the same tier labels and scores. Set up CRM views for each rep filtered by their assigned Tier 1 and 2 accounts.

Target Tier 1 and Tier 2 accounts with paid and email campaigns

Marketing syncs the Tier 1 and Tier 2 account lists to LinkedIn Campaign Manager or their email platform to run account-based campaigns. Ad targeting and email nurture sequences are built around the same accounts sales is actively working. Marketing KPIs shift from MQL volume to pipeline sourced or influenced from Tier 1 and Tier 2 accounts.

Enroll Tier 1 contacts in personalized sequences, Tier 3 in automated nurture

Sales reps pull their Tier 1 accounts from the CRM and enroll key contacts in highly personalized multi-channel sequences (email, LinkedIn, phone). Tier 2 accounts get semi-personalized sequences. Tier 3 contacts are enrolled in long-term automated nurture sequences. Reps always know the tier before first contact, so effort is allocated correctly.

Report on pipeline generated from Tier 1 and Tier 2 accounts as the primary GTM metric

Build CRM dashboards that attribute pipeline and revenue back to tiered accounts. Replace MQL volume as marketing's primary KPI with pipeline from Tier 1 and Tier 2 accounts. Sales is measured on conversion rate within tiered accounts. Both teams are now accountable to the same pipeline outcomes from the same account universe, ending the blame game.