01
Decomposes your question into the sub-questions that actually answer it. “Why did CPA spike?” becomes 6 sub-queries.
Conversational marketing analyticsAsk your data anything.
Ask your data anything.
Act on everything.
Stop interrogating dashboards. The MemoLogs AI Co-Pilot decomposes any marketing question into sub-queries across your causal, creative, audience, and memory data — and answers with the chart, the reasoning, and the next action. Every answer cited. None hallucinated.
Cited, never hallucinatedCross-signal reasoningOne-click actions
Answers in ~0.4s (<4s p95)·Slack & email proactive alerts·Board-ready monthly reports
It's not a chatbot.
It's an analyst.
Behind every answer is a five-stage reasoning pipeline. The Co-Pilot doesn't translate your question into SQL and pray — it plans, queries, synthesizes, cites, and proposes actions.
02
Hits the unified graph — platform data, GeoTwin lift, Creative IQ, Audience IQ, Memory IQ — in parallel.
03
Composes a plain-English answer with the right chart, the right ranking, and the right caveats.
04
Every claim is linked to its source view. Click any citation to verify in the underlying dashboard.
05
Suggested actions are pre-staged — refresh creative, cap frequency, reallocate spend — one click to apply.
The kind of questions
your CFO actually asks.
Three conversations the Co-Pilot has every week. Each pulls from a different combination of MemoLogs signals — and lands an answer that's defensible in the room.
Which channel is most inflated right now?
Branded SEM is the most inflated channel — 11.2× over true incrementality. Three of your four channels need a real conversation with finance.
Forecast October spend at our current ROAS target.
Holding ROAS ≥ 2.4 caps October spend at $1.94M blended. Two channels are flagged for diminishing returns past week 2.
- $1.94M blended cap to hold ROAS ≥ 2.4 (90% CI: $1.78M – $2.10M).
- Diminishing returns on Meta past $480K · TikTok past $260K.
- Headroom on CTV — supports +$120K without ROAS hit.
Where should I move $50K to lift incremental revenue this week?
Pull $50K from Branded SEM. Move $32K to CTV, $18K to YouTube Shorts. Predicted incremental revenue lift: +$111K.
MoveFromToIncr. ROI
−$50KBranded SEM0.09×
+$32K→ CTVpredicted2.4×
+$18K→ YouTube Shortspredicted1.9×
+$111Knet incremental revenue7-day window2.22× avg
One question.
Five signals. One answer.
Every Co-Pilot answer is the synthesis of five signal layers: causal lift, creative health, audience graph, decision memory, and platform-reported metrics. No single dashboard gets there.
Causal liftGeoTwin · CausalCore · DiffLensCreative health9-signal fatigue modelAudience graph1.2M graded profilesDecision memoryPattern historyPlatform metricsMeta · Google · TikTokCo-Pilot reasoning core · Causal Reasoning Translator — our own fine-tuned model (not GPT, not Claude)
It speaks first.
Not just when asked.
The Co-Pilot ships proactive alerts to Slack or email at the cadence and severity you set. Creative fatigue, budget waste, audience saturation, incrementality drift — surfaced before the metric reveals it.
#growth-alerts
🤖
MemoLogs Co-Pilot09:14 AMCreative fatigue
Ad set SKU-447 health dropped to 24. Frequency 8.4×, CTR −38%. Three refresh variants queued — predicted lift +18%.
🤖
MemoLogs Co-Pilot09:32 AMMemory pattern
Q4 paid-social scale-up to $920K matches 3 of 4 historical failure patterns. Suggest cap at $650K, shift surplus to CTV.
🤖
MemoLogs Co-Pilot10:08 AMInflation drift
Branded SEM inflation factor moved 9.6× → 11.2× over the last 14 days. Reallocation plan auto-generated.
🤖
MemoLogs Co-Pilot11:24 AMAll-clear
Weekly digest ready — CAC −12%, ROAS +0.4×, 4 active experiments healthy, 0 blocked.
Cited, not hallucinated.
Every number the Co-Pilot shows comes from your data — pulled deterministically from SQL and the IQ modules, never written by the language model. Three hard rules keep it honest: numbers come from your data and are never invented, every claim cites the module and timestamp it drew from, and if the available data can't cover at least 70% of your question the Co-Pilot says so instead of guessing. The narration runs on our own fine-tuned model — the Causal Reasoning Translator — not GPT, not Claude.
Every number is anchored.
Tuesday's CPA spike was driven primarily by creative fatigue on SKU-447 [1], with secondary contribution from audience overlap [2] and a doubling of competitor share-of-voice [3] in priority markets.
Monthly digest in one click.
Q4 · October 2026Performance digest · auto-generated · illustrative
PDF · readyCAC delta−28%
ROAS delta+27%
Incremental revenue$2.9M
Inflation factor3.0×
Creative refreshes14 shipped
Budget reallocations$420K
More signal.
Less archaeology.
What happens when your team stops asking dashboards and starts asking the data.
Decisions in seconds.
What used to take a 2-hour ad-hoc pull, three Slack pings, and a follow-up doc now takes one question. Every answer arrives under a second with the chart and the next action attached.
0.4smedian answer time
Analyst hours back.
Marketing analytics teams spend ~60% of their week on data stitching and ad-hoc pulls. The Co-Pilot absorbs that load so analysts ship strategy, not exports.
+60%strategy hours per analyst
Always-on monitoring.
Proactive Slack and email alerts mean fatigue, drift, and waste surface in minutes — not on Monday mornings when you're already two days into the bleed.
11–18dearlier than CPA-based alerts
“My board asks me hard questions. The Co-Pilot is the only tool I've used that gives me an answer I can actually defend in the meeting.”
CMO · Consumer tech
Stop asking dashboards.
Start asking the data.
Scoping call · 30 min · free · zero obligation.