What dashboards should I build to compare CAC by channel, campaign, and keyword in a multi-touch funnel?
Quick Answer: Build a CAC command center with three linked views: channel-level CAC, campaign-level CAC, and keyword-level CAC, each tied to multi-touch attribution so spend, conversions, and revenue are measured on the same ruleset. The most useful dashboard shows both blended CAC and attributed CAC, plus assisted-conversion and pipeline-value metrics, so you can see not just which source closes deals, but which source creates efficient demand throughout the funnel.
Detailed Explanation
To compare CAC accurately in a multi-touch funnel, you need dashboards that normalize all spend and revenue data to a single attribution framework and then slice performance by channel, campaign, and keyword. At minimum, build an executive overview that tracks blended CAC, attributed CAC, payback period, and pipeline velocity; a channel performance dashboard that benchmarks efficiency across paid search, organic, social, referral, and outbound; a campaign dashboard that isolates creative and audience-level unit economics; and a keyword dashboard that reveals which queries drive converting traffic versus expensive but low-intent clicks. The key is to connect every touchpoint to downstream revenue, not just first- or last-click conversions, so you can identify true acquisition efficiency and reallocate budget with confidence.
Key Technical Drivers
- Create a blended-vs-attributed CAC dashboard that reconciles total spend, qualified pipeline, closed-won revenue, and multi-touch credit in one view; this prevents channel comparisons from being distorted by last-click bias.
- Build a hierarchy of drill-down dashboards: channel → campaign → ad group/keyword, with filters for date range, geo, device, audience, and funnel stage so you can isolate which variables change CAC fastest.
- Include efficiency and quality metrics alongside CAC: CAC payback period, conversion rate by stage, assisted conversions, SQL-to-close rate, and pipeline-to-spend ratio; CAC alone is too blunt for multi-touch optimization.