From five open tabs to a finished campaign readout
Campaign data from ad platforms, analytics, CRM, and ecommerce — assembled into a cross-tool readout with plan vs. actual, channel performance, and suggested areas to investigate.
Post-campaign analysis shouldn't take longer than the campaign
Your week, before and after
- Post-campaign readouts take days to assemble from multiple tools.
- Plan vs. actual comparisons are manual spreadsheet exercises.
- Learnings live in someone's head, not in a documented readout.
- The next campaign starts without reviewing the last one.
- ✓Campaign data assembles itself from connected platforms.
- ✓Plan vs. actual is calculated and presented automatically.
- ✓Readout captures learnings in a shareable format.
- ✓Historical readouts inform future campaign planning.
Campaign readouts that write themselves
Cross-platform campaign view
Google Ads, Meta, Analytics, CRM, ecommerce — all campaign-relevant data pulled into one view. No more five-tab analysis.
Plan vs. actual comparison
Budget, KPI targets, and timeline compared to actuals automatically. Where did you land vs. where you aimed?
Channel performance breakdown
Performance by channel, by campaign, by audience segment. See which channels drove results and which underperformed.
Funnel analysis across tools
Impression to click to conversion to revenue — the full funnel assembled from multiple sources. Drop-offs and bottlenecks highlighted.
AI-generated insights
What worked, what didn't, and where to dig deeper. AI drafts the narrative — you add the strategic interpretation.
Suggested areas to investigate
Creative fatigue signals, audience overlap, landing page conversion drops, pacing anomalies — surfaced as areas to review, not directives.
What a campaign review includes
Campaign overview
Objective, timeline, budget, target KPIs, and overall result. One-paragraph AI summary of how the campaign performed.
Plan vs. actual
Side-by-side comparison of target vs. actual for spend, impressions, clicks, conversions, CPA, ROAS, and revenue.
Channel-by-channel breakdown
Performance metrics per channel with relative contribution. Which channels drove efficiency and which drove volume.
Audience and creative insights
Top-performing audiences and creative variants. Signals for what to scale and what to retire.
Learnings and recommendations
AI-drafted learnings with suggested actions for the next campaign. Framed as starting points for team discussion.
Frequently asked questions
Can it compare campaigns across different time periods?
Yes. Pull data from any date range and compare across campaigns, channels, or time periods. See how this quarter's campaign stacked up against last quarter's.
Does it work for non-marketing campaigns?
The framework works for any initiative with measurable outcomes — product launches, sales promotions, seasonal pushes, partnership campaigns. If it has data, it can be reviewed.
Can I share the readout with stakeholders?
Yes. Campaign reviews can be delivered via Slack, email, or shared links. Share with your team, your client, or your leadership — in the format they prefer.
How soon after a campaign can I generate a review?
As soon as the data is available in your connected platforms. For most ad platforms, that means within a day or two of the campaign ending. For some metrics (like final revenue attribution), you may want to wait for your attribution window.
Does it track creative performance?
It pulls creative-level data from platforms that provide it (Meta, Google). Creative learnings are surfaced in the review, including performance by ad creative, format, and messaging theme.
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