Campaign Performance Reviews

We start with the original brief. What was the goal, the audience, the budget, the offer, the dates and the success measure? If these were never written down, we reconstruct them with you, because a review without a goal has nothing to measure against. Next, we gather data from every channel used. This includes Google Ads, Meta, email, WhatsApp, SEO landing pages, offline coupons and phone calls. We check tracking quality first, looking at whether forms, calls and chats were recorded correctly; see form submission tracking and lead source attribution. Where leads were followed up by a sales team, we ask for outcomes, since a cheap lead that never buys is not a success; see lead quality analysis. We then build the picture in layers. The first is results against goal: total leads, sales or revenue where known, and cost per result. The second is efficiency: which channels, campaigns, ad groups, audiences and messages delivered results at a fair cost, and which used budget without return. The third is the journey: how visitors behaved after the click, which landing pages worked, where they dropped out; see landing page analysis. The fourth is timing: results by day, week and phase, including how fast performance rose and fell, and any effect from external events such as holidays, weather, news or competitor offers. The fifth is the creative and offer: which headlines, images, formats and incentives were strongest. We then compare with earlier campaigns if records exist, to show whether this one was typical. We distil findings into a short report: a one-page summary, supporting charts, a table of what worked and what did not, and a ranked list of actions. Each action is marked as keep, stop, change or test, with a note on the expected effect and effort. We also record learnings in a reusable template so they can be consulted before the next campaign. If you wish, we hold a review meeting with your team so the findings are discussed together. For campaigns that are still running, the review can be used for mid-course changes. We cannot recover data that was never recorded, and we cannot say with certainty why a result occurred when many things changed at once, but we separate evidence from opinion and make the next campaign better informed.