Every answer comes with a plain-English summary of what changed, why it matters, and what to try next — grounded in your actual data, never fabricated.
AI summary
Paid social CPA dropped 18% this week, driven mostly by a creative refresh on the "Spring launch" LinkedIn campaign. Google Ads CPA was flat. Overall blended CPA is tracking at $42.80, down from $51.20 last week.
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A concise explanation of what the data shows, written against the actual query result.
Concrete actions you can take, informed by the numbers in front of you — not generic advice.
When something moves meaningfully, Meaning flags it and explains the context.
Paid channel comparison
Google Ads ROAS was 4.2×, LinkedIn was 2.1×. Google Ads delivered twice the return per dollar this month.
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Funnel drop-off
Mobile checkout drop-off at step 2 jumped from 24% to 38% last week — right after the latest deploy.
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SEO opportunity
You have 14 queries with >5,000 monthly impressions but CTR below 2% — mostly listicles ranked positions 4–7.
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Email performance
Open rates on the last three campaigns dropped to 18.4% — previously running at 23%. Subject line length increased 40% in the same window.
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LLM-based analytics has an accuracy problem. Meaning solves it by passing the real query result to the model and giving it strict guardrails — if the data isn't there, the answer says so.
The SQL runs before the model writes anything — the model only ever sees real numbers.
The model is instructed to refuse rather than invent, and to cite the row for every claim.
Week-over-week, period-over-period comparisons are computed, not guessed.
Yes. Every insight is generated directly against query results — no synthetic numbers, no hallucinations. Meaning is built to refuse rather than invent.
You can ignore them — answers always include the chart and table too. The AI summary is additive, not a replacement for the raw data.
Yes. Insights build on the previous message, so follow-up summaries stay consistent with the thread.
Claude, chosen for its accuracy and safety characteristics — both critical when numbers can't be fabricated.
Yes. When a metric deviates meaningfully from its recent trend, Meaning calls it out in the summary and suggests a next step.