Model campaign outcomes, allocate media and labor costs, and show clients clear ROI forecasts. Turn scattered spreadsheets into consistent, defensible budget plans.
Why it matters
Benefits
Calculate expected SQLs, opportunities, and revenue per channel using stage conversion rates and close rate – so clients see how spend maps to pipeline, not just clicks and impressions.
Plan delivery hours by role (strategy, creative, ops) and bake in blended hourly cost – preventing under-scoped retainers and revealing which accounts are margin risks.
Present Good–Better–Best plans with clear assumptions (CPL, CAC, ACV, payback period) – making it easier for stakeholders to approve spend changes without lengthy back-and-forth.
Track budget burn vs forecast by week, channel, and campaign – helping teams reallocate spend early when CPL drifts or conversion rates change.
Use cases
Challenge
A client questions renewal because last quarter’s results looked inconsistent across platforms and attribution reports don’t match.
Solution
Model ROI using agreed assumptions – lead quality weighting, stage conversion rates, and close rate – then show forecasted pipeline and revenue impact for next quarter with a budget plan by channel.
Challenge
Your team needs to propose a budget and expected outcomes for a prospect with limited historical data and a tight timeline.
Solution
Build a forecast from benchmark inputs (CPC/CPM, landing page CVR, MQL–SQL rate, close rate, ACV) and output CAC, ROI, and payback period – packaged as a clear plan for the pitch deck.
Challenge
Paid social CPL rises and the client wants to cut spend, but you suspect paid search is near saturation and ABM needs more time to mature.
Solution
Run scenario comparisons that account for diminishing returns and funnel lag – then reallocate budget with projected pipeline impact and a pacing plan that aligns to monthly targets.
More industries
FAQ
It converts campaign inputs into business outcomes clients care about – expected MQLs, SQLs, opportunities, revenue, CAC, and payback period. Agencies can define assumptions up front (conversion rates by stage, close rate, ACV, gross margin) and produce consistent ROI forecasts for QBRs, renewals, and budget increase requests.
Yes. A planner built for agencies should include delivery hours by role, blended hourly cost, tooling overhead, and any fixed retainer fees. This lets you report both client ROI (revenue vs marketing investment) and agency profitability (gross margin per account, effective hourly rate, and scope creep risk).
At minimum – spend by channel, CPC or CPM, click-through rate, landing page conversion rate, cost per lead, lead-to-MQL and MQL-to-SQL rates, close rate, and ACV. For B2B, adding sales cycle length, opportunity-to-close lag, and pipeline-to-revenue weighting improves accuracy and sets realistic expectations.
Use a blended model with agreed rules: combine platform-reported conversions with CRM stage conversion rates, apply a confidence factor to channels with weaker tracking, and separate leading indicators (traffic, leads) from lagging indicators (pipeline, revenue). The key is documenting assumptions so forecasts are repeatable and defensible even when attribution is imperfect.
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