AI Marketing Analytics Dashboard from CSV

The hardest part of marketing reporting is rarely picking the right chart — it is reconciling four export formats from four ad platforms that disagree on what 'conversions' means. Google Ads counts a conversion the moment its pixel fires; Meta attributes it to the click that came hours earlier; your CRM only counts it once a sales rep marks the deal closed-won. A useful marketing dashboard shows the underlying numbers side-by-side, flags the discrepancies, and lets the human pick the model. Sreniq builds exactly this view from a raw CSV: spend by source, conversions by source, attributed revenue, and a written paragraph noting that, say, Meta's conversion count is 38% above Salesforce for the same period.

The other gap in most marketing reports is the audience layer. Channel-level numbers tell you Meta is working; audience-level numbers tell you Meta is working because of one lookalike-1% segment that is quietly carrying the rest. Sreniq treats audience, ad group, and campaign as drillable dimensions — ask 'split this by audience' and the chart re-groups in place. The same applies to creative: if your CSV includes ad name or creative ID, you can ask for top-performing ads by ROAS and get a ranked table without writing a single formula.

For weekly reporting, the typical workflow is: export from each platform, drop the files in, ask Sreniq to consolidate by date and UTM source, and publish the result as a public link. Stakeholders click the link and see the live charts plus the AI-written summary; you do not need to keep a deck up to date. For monthly board updates, the same dashboard serves as the appendix — the narrative paragraph at the top is usually close enough to be quoted verbatim.