eyko Ideas
Acquisition budgets default to historical channel splits even as channel economics shift. An Acquisition Cost Optimization Playbook reads marginal CAC by channel-segment combination to identify where budget should flow next and where the next dollar is producing diminishing returns.
The Challenge
Annual planning allocates acquisition budget based on last year's mix. When channel economics shift (paid-search costs climb, content-marketing converts better, outbound saturates), the split lags. The blended CAC drifts upward without anyone making a decision.
Many channels deliver lower marginal CAC at lower volume and rising marginal CAC as volume scales. Without per-channel diminishing-returns curves, the team scales channels past the efficient point and the blended CAC reflects the over-scaling rather than the channel's genuine economics.
A channel that wins on mid-market may be inefficient on enterprise. Without segment-channel decomposition, the channel budget gets sized based on blended performance and the segments where the channel underperforms continue to absorb spend.
How eyko Solves It
An Acquisition Cost Optimization Playbook reads marginal CAC curves per channel-segment combination, current spend allocation, channel saturation indicators, and segment-fit signals to recommend acquisition spend reallocation. It surfaces channels operating past their efficient point and channel-segment combinations underfunded against the available efficiency, then projects blended CAC under the recommended allocation.
The Playbook analyzed marginal CAC across 12 channel-segment combinations over the past 18 months. Current blended CAC: $4,200. Optimized allocation projects $3,400 blended CAC on the same total spend through reallocation of $480K from saturating channels (outbound-enterprise, branded paid-search) to underfunded channels (content-mid-market, partner-SMB). 4 channel-segment combinations are at or past saturation; 3 are underfunded against their marginal CAC potential.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Acquisition Cost Optimization reads marginal CAC curves per channel-segment combination, current spend allocation, channel saturation indicators, and segment-fit signals to recommend reallocation. The Playbook surfaces channels operating past their efficient point and channel-segment combinations underfunded against the available efficiency, then projects blended CAC under the recommended allocation so marketing leadership funds acquisition where the next dollar is most efficient.
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FAQ
Everything you need to know about Acquisition CAC Map.
Acquisition Cost Optimization is an AI-driven analysis of marginal CAC curves per channel-segment combination that recommends acquisition spend reallocation. The Playbook surfaces channels operating past their efficient point and channel-segment combinations underfunded against the available efficiency, then projects blended CAC under the recommended allocation.
The Playbook reads from your ad platforms (channel-level spend and conversion data), marketing automation (lead conversion by source), CRM (deal outcomes attributed to channel), and historical CAC reporting segmented by channel and segment. At least 18 months of paired spend-and-conversion data anchors the marginal-CAC curves.
Blended CAC describes the average. Acquisition Cost Optimization measures the marginal CAC of the next dollar per channel-segment, which is what matters for reallocation decisions. The two are complementary, but marginal CAC is what tells the team where the next dollar of spend produces incremental efficiency.
Yes. The Playbook recommends a 60-day pilot reallocation on a subset of the spend before locking the full shift. The pilot validates that the projected marginal-CAC lift materializes in actual conversion data before broader rollout, protecting against forecast assumptions that did not match the live data.
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