Unified TAM Scoring System to Align Sales & Marketing

Aggregate all potential accounts into one master spreadsheet/table

Start by compiling every company that could theoretically buy from you into a single Clay table. This becomes the single source of truth. Import existing lists from your CRM, LinkedIn Sales Navigator searches, intent platforms, or manual research. All accounts — regardless of source — must live here before any enrichment begins.

Enrich each account with headcount, revenue, industry, and geography data

Run all accounts through FullEnrich via Clay's native integration to append key firmographic fields: employee headcount, estimated annual revenue, industry vertical, and geographic location. These fields form the foundation of your ICP scoring model and allow initial filtering of clearly out-of-profile accounts.

Pull technology stack data showing what tools each account currently runs

Use BuiltWith (and TheirStack as a secondary source) via Clay to identify the software and technology each account already uses. This reveals tech stack compatibility or competitive displacement opportunities — e.g., if a prospect uses HubSpot and you integrate with it, that's a positive signal; if they use a direct competitor, that's another data point for scoring.

Pull funding rounds, headcount growth, and hiring patterns per account

Enrich each account with Crunchbase funding data (recent rounds, total raised, investors) and PredictLeads job posting signals to identify companies actively hiring in relevant departments — a strong proxy for growth and budget availability. Cross-reference with LinkedIn Sales Navigator for recent news, leadership changes, or expansion signals. These signals indicate buying intent and urgency.

Create a weighted scoring formula based on closed-won and churned account attributes

Analyze your historical closed-won deals and churned accounts to identify the attributes most predictive of success. Assign positive weights to signals matching your best customers (e.g., 200-500 employees, Series B funded, uses Salesforce, hiring SDRs) and negative weights matching churned profiles. Build this as a formula column in Clay that auto-scores every account 0–100 based on the enriched data collected in prior steps.

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

Define score thresholds to assign each account a tier: Tier 1 (high-fit, high-intent — e.g., score 75+) receives full resources, personalized multi-channel outreach, and dedicated sequences; Tier 2 (moderate fit — e.g., score 50–74) gets semi-personalized outreach and nurture campaigns; Tier 3 (low fit — e.g., score below 50) goes into long-term automated nurture only. This tier field becomes a key CRM property.

Push all enriched and tiered accounts into the CRM as the shared account record

Export the fully enriched, scored, and tiered account list from Clay into your CRM (HubSpot, Salesforce, etc.) as the canonical account records. Ensure the Tier field, ICP Score, and all enrichment fields are mapped as CRM properties. Both sales and marketing now access the same account records, tier assignments, and data — eliminating the two-list problem.

Sales reps filter and prioritize outreach using Tier and score fields

Sales reps create CRM views filtered by Tier 1 first, working personalized outreach sequences (calls, LinkedIn, email) with full context on each account's tech stack, funding, and growth signals before ever picking up the phone. Tier 2 accounts feed into semi-automated sequences. Reps never have to guess which accounts to prioritize — the score decides.

Marketing uses Tier 1 and 2 account lists to run paid, ABM, and content campaigns

Marketing syncs the same tiered account list to their ad platforms (LinkedIn Campaign Manager, Google Ads), ABM tools (6sense, Demandbase), and email platforms. Campaigns are targeted exclusively at Tier 1 and Tier 2 accounts. This ensures marketing spend is concentrated on accounts sales is also actively working, creating coordinated multi-touch coverage instead of competing priorities.

Replace MQL reporting with pipeline-from-target-accounts as the marketing KPI

Reconfigure marketing dashboards to report on pipeline generated from Tier 1 and Tier 2 accounts rather than raw MQL volume. Track metrics like: number of Tier 1 accounts with open opportunities, pipeline value sourced from target accounts, and Tier 1 account meeting rate. This single metric shift eliminates the sales-vs-marketing blame game by aligning both teams on revenue outcomes from the same shared account universe.