A monthly Claude prompt that takes the 9-audience ABM structure (3 intent tiers × 3 role segments), measures 30-day engagement velocity per audience, projects 90-day pipeline contribution per audience with confidence intervals, and outputs per-audience SCALE / HOLD / RE-SEGMENT / PAUSE recommendations. The measurement workflow that closes Track 03's diagnose-build-measure loop.
A B2B SaaS team ships the 9-audience ABM structure (3 intent tiers × 3 role segments) using ABM Audience Builder. The aggregate campaign metrics look fine — overall CTR is 1.2%, overall CPL is $180, total pipeline is on plan. Six weeks in, somebody asks "which audiences are actually producing pipeline?" The team can't answer. Each audience runs the same default budget allocation. The aggregate hides the unit economics. When they finally drill in: T1-DM and T2-DM are producing 73% of pipeline. T3-User has produced zero. Three audiences are engaging without converting. The campaign was successful by aggregate metrics, but 5 of 9 audiences shouldn't have been running at full budget.
The deeper problem is that the 9-audience structure has 9 distinct unit economics, but most teams measure at the campaign level which averages across audiences and hides the variance. T1-DM accounts (highest intent, decision-maker role) have a different velocity-to-pipeline ratio than T3-User accounts (lowest intent, end-user role). Forecasting at the campaign level can't tell you which audience to scale or pause. Forecasting per audience can — and the 30-day engagement velocity per audience is the leading indicator of 90-day pipeline contribution.
This workflow runs the per-audience forecast. Claude pulls 30-day engagement velocity per audience from HubSpot + LinkedIn Ads, projects 90-day pipeline contribution per audience with confidence intervals, and outputs a 9-cell action grid: SCALE / HOLD / RE-SEGMENT / PAUSE per audience. Run monthly to reallocate 15-30% of budget per cycle based on which audiences are pulling weight. The compounding effect over 6 months is significant — most B2B SaaS teams who run this monthly converge on 3-4 productive audiences with the budget that originally ran 9.
The gold variables — your brand, audience structure, and budget assumptions — are the parts you edit. Run monthly after the first 30 days of audience activity.
hubspot and linkedin_ads via the free Growthspree MCP. Account intent score deltas come from the Account Intent Scoring Engine workflow's output, ideally 30+ days of running history.Sample output for a hypothetical mid-market B2B SaaS brand with $48K/mo total ABM budget across 9 audiences, 60 days into the quarter. The forecast collapses to 3-4 productive audiences with concentration in T1 + T2 DM/Influencer cells.
Pulling 30-day engagement velocity for each of the 9 audiences in parallel.
9 audiences forecast. 90-day pipeline projection: $487K (±$140K confidence interval). Distribution: 2 SCALE (T1-DM, T2-DM) · 2 HOLD (T1-Influencer, T2-Influencer) · 3 RE-SEGMENT (T1-User, T2-User, T3-DM) · 2 PAUSE (T3-Influencer, T3-User). Single highest-leverage move: pause T3-Influencer + T3-User audiences ($6,800/mo combined budget) and redistribute 80% to T1-DM and 20% to T2-DM.
The forecast and reallocation cycle is monthly. The first run requires 30+ days of audience activity; subsequent runs use the prior month's reallocation as the new baseline.
The forecast needs at least 30 days of engagement data per audience to produce a reliable trajectory. Audiences live for less than 30 days get flagged as DIRECTIONAL only — the forecast is shown but action recommendations are softened. For the first forecast cycle after shipping the 9-audience structure, wait until day 30-35 before running.
Edit the gold variables — your brand, average ACV, sales cycle, MQL→SQL benchmark, and current budget allocation. Paste the 9-audience structure with audience IDs from LinkedIn Ads. Audience IDs are the most important field — without them, Claude can't pull engagement data per audience. Get them from LinkedIn Campaign Manager → Audiences tab.
For 9 audiences, the workflow takes 4-6 minutes. Claude pulls engagement velocity per audience in parallel, calculates velocity-to-pipeline conversion rates, projects 90-day pipeline contribution per audience, and outputs the 9-cell forecast grid + reallocation table. The output is the 9-cell forecast grid + reallocation table — these two are the action artifacts.
Update budget allocation per audience in LinkedIn Campaign Manager. SCALE audiences get budget increases of 30-50%; PAUSE audiences get zero budget (don't archive — keep the audience structure intact for re-activation). RE-SEGMENT audiences keep their current budget but get flagged for next month's Role-by-Role Engagement Map refresh. Re-run this workflow at the start of next month using the new allocations as the new baseline.
Refresh RE-SEGMENT audiences →Same forecast framework, different scope. Pick the one that matches your audience structure and reporting cadence.
Some B2B SaaS teams skip the T3 (low-intent) tier entirely because retargeting low-intent accounts produces poor unit economics. The 6-audience structure (T1 + T2 only) reduces the forecast grid from 9 cells to 6 but produces tighter projections per cell because budget is concentrated.
For monthly internal use the 9-cell grid is the right format. For quarterly executive reporting, roll up to a 1-page summary: total quarter pipeline contribution from ABM, top 3 performing audiences with deal counts, top 3 reallocation moves made over the quarter, and one-line ABM strategy direction for next quarter.
For brands running the 9-audience structure on multiple paid channels (LinkedIn primary, Google retargeting, Meta retargeting). Each audience may behave differently across channels. Forecast produces per-audience-per-channel projections and recommends channel-level reallocation, not just audience-level.
The 9-audience structure was the right strategy. The flat-budget allocation across 9 audiences was the wrong execution. Run the forecast monthly. Reallocate 15-30% of budget per cycle. Watch 3-4 audiences converge into the productive set within 6 months. Or have senior GrowthSpree operators run the monthly forecast across your 9-audience structure, execute the reallocations in LinkedIn Ads + HubSpot, and refine RE-SEGMENT audiences via Role-by-Role Engagement Map — the same operating motion run across 300+ B2B SaaS accounts.