Get a scored performance analysis of your ad campaigns with benchmarks, trend data, and a prioritized set of recommendations sorted by effort and impact.
Share the client, the platforms, and the time period. The flow returns a performance scorecard rating each campaign on efficiency, volume, and quality, a benchmark comparison against industry averages and historical baselines, and a prioritized action plan grouped by quick wins, strategic shifts, and tests to validate. If a Google Ads or Meta Ads account is connected, Juma pulls live data automatically.
The analysis starts with a performance scorecard that rates each campaign on five dimensions: efficiency (CPA, ROAS), volume (conversions, clicks), quality (conversion rate, bounce rate), trend (week-over-week direction), and budget health (pacing, allocation). Campaigns scoring below threshold on any dimension get a deep dive down to the ad group and ad level. The scorecard sits alongside a benchmark comparison showing where the client's numbers land against industry averages and their own historical baselines. Every finding feeds into a prioritized recommendation set, sorted into three tiers: quick wins to act on this week, strategic shifts to plan for next cycle, and tests to validate before scaling.
Industry benchmarks give a starting point, but they can mislead without internal context. A $180 CPA might look strong against a $220 industry average, but if the same account ran at $140 two months ago, the trend matters more. This analysis layers both: industry benchmarks set the outer frame, and the client's own historical performance sets the inner one. Recommendations anchor to whichever baseline is more relevant for each metric.
The search terms report shows the actual queries triggering your ads. This prompt pulls the report and flags irrelevant queries burning budget, high-performing queries worth adding as exact-match keywords, and themes that suggest new ad group opportunities.
Pull the search terms report for the last 30 days and run a full audit. Flag irrelevant queries I should add as negative keywords, high-performing queries worth adding as exact-match keywords, and any query themes that suggest a new ad group structure. Sort everything by spend so I can see where budget is leaking first.
A single snapshot shows where things stand, but the trend shows where things are going. This pulls data from two periods and highlights what improved, what declined, and what changed in between.
Compare this month's campaign performance to last month across all active campaigns. Show me what improved, what declined, and by how much. Check the account change history to see if any recent changes explain the shifts. Flag anything that changed by more than 15% in either direction.
The analysis surfaces what to change. This turns findings into a plan the team can execute, with specific actions, timelines, and expected impact for each recommendation.
Turn the recommendations from the analysis into a prioritized action plan. For each item, include: what to change, which campaign or ad group it applies to, expected impact on CPA or conversion volume, effort level (quick fix vs. needs creative or strategy work), and a suggested timeline. Group by this week, this month, and next cycle.
Campaign analysis is a recurring task: same client accounts, same goals, same targets, reviewed month after month. A Juma project stores the context that stays constant so every analysis starts from what's already known instead of re-asking the basics. If the client project already exists, add these items to it.
Connected integrations: Google Ads and Meta Ads
Once connected, Juma pulls live campaign data automatically in every conversation. No exports, no uploads, no pasted spreadsheets. The integration lives at the project level, so everyone on the team gets the same access.
Campaign Analysis Context
A short document covering performance targets by channel (target CPA, target ROAS), which campaigns to focus on, and standing constraints. This single file replaces the questions Juma would otherwise ask every time: "What are your targets?", "Which campaigns should I look at?", "Anything I should know?"
Past Campaign Performance
Historical baselines from previous review cycles. With this in the project, Juma compares against the client's own track record instead of relying on industry averages alone.
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:
