Get a campaign-by-campaign scorecard with budget-performance mismatch analysis, efficiency rankings, charts, and a prioritized action plan to cut waste and scale winners.
Name the client, the ad platform, and the time period. The flow returns a branded PDF with budget vs. performance charts, an action plan table for every campaign, and flagged tracking issues that may be hiding real costs.
A branded PDF that scores every campaign side by side: how much each one spent, how many conversions it drove, and how efficient it was. The headline section plots budget allocation against actual results, so the team can see at a glance which campaigns are eating budget without earning it, and which ones are quietly outperforming on a shoestring. Charts make the comparison visual, and an action plan at the end spells out what to cut, what to consolidate, and what to scale, with the numbers behind each call. If any campaigns have broken or missing conversion tracking, that gets called out front and center, not hidden in a footnote.
Almost every ad account has the same blind spot: the campaigns spending the most are rarely the ones performing the best. It is easy to miss when the numbers live in separate tabs and dashboards. This flow puts spend share and result share next to each other, and the mismatch becomes obvious. Teams that spot it can shift budget from the bottom of the list to the top without spending a dollar more, and the overall return improves immediately.
After identifying which campaigns are leaking budget, this prompt goes one level deeper to find exactly where the inefficiency lives: which ad groups, which audiences, which keywords.
Break down our top-spending PMAX campaign by ad group. Which ad groups are wasting budget and which should we scale?
The search terms report shows the actual queries triggering ads. This pulls the report and flags irrelevant queries burning budget, high-performing queries worth adding as exact match, and patterns that suggest a new ad group structure.
Pull the search terms report for our top-spending Google Ads campaigns and flag wasted spend. Sort by cost so we see the biggest leaks first.
The analysis shows what to cut and what to scale. This prompt turns those findings into a specific plan with dollar amounts to shift, campaigns to pause, campaigns to increase, and estimated impact on overall CPA or ROAS.
Based on the analysis, build a budget reallocation plan for next month. Show exactly how much to shift from underperformers to winners and what we'd expect in return.
Teams build one Juma project per client and add context over time. Every flow the team runs for that client pulls from the same project. If a project already exists, adding ad performance context means each analysis starts from the client's targets and history instead of industry benchmarks alone.
Campaign Analysis Context
Performance targets by channel (target CPA, target ROAS, budget caps), which campaigns to prioritize, and standing constraints. With this in the project, every analysis measures against the client's own goals instead of asking about them each time.
Past Performance Data
Historical baselines: last quarter's CPA, ROAS, and conversion volume by campaign. When this exists, the analysis compares against the client's own trajectory, not just industry averages. If the client's ad account is already connected, Juma can pull historical data directly, so this file becomes optional.
Client Brief
Company context, product lines, target audience, competitive positioning. This gives the analysis business context so recommendations connect to strategy, not just numbers.
Add a short description to each knowledge item in the project's info field so Juma knows what each file contains and when to use it. For example:
