Rules first. AI second. Plain English every morning.

How DawnPulse Works — From Messy Exports to a 60-Second Briefing

DawnPulse turns your marketing data into one plain-English paragraph every morning: what changed, why it matters, and what to do next. You follow three simple steps; the engine does five stages of work.

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What you do: three simple steps

  1. Get your data in — any way you like. One-click connections for Shopify, Mailchimp, HubSpot, and Klaviyo; CSV/Excel/JSON upload from any platform; forward scheduled exports to your unique DawnPulse email address; or push data via the ingest API (works with Zapier, Make & Pabbly).
  2. Tell us what you're aiming for (optional, 2 minutes). Pick a goal — grow revenue, cut spend, fix operations, reduce churn. Add dated business notes like "flash sale Sep 1–3". Set targets like "ROAS at least 3". If we can't identify a column in your file, we ask once and remember your answer forever.
  3. Read your Pulse. Open the dashboard or the morning email. One paragraph, plus the cards that matter most for your goal. Under a minute.

What the engine does: five stages

  1. Your data arrives — by connection, upload, email forwarding, or API push.
  2. The engine understands your file — a column dictionary recognises columns across 40+ platforms (and learns your answers), then normalisation resolves dates, currencies, and micro-units into clean daily metrics. Your raw numbers are never altered.
  3. Rules first, always — a deterministic statistical engine computes trends, anomalies, shifts, and concentration. A messy-data audit flags duplicates, unit traps, flatlines, and impossible values as health warnings. Snapshot mode still produces insights when a file has no dates or only a few days of history.
  4. Your context shapes the briefing — your goal re-ranks what surfaces first, your business notes add attribution context (data always wins), and your targets stay quiet when you're on track and speak up when you're off.
  5. Plain English, every morning — only after the rules finish does the AI write, turning verified numbers into a briefing with observation, explanation, and next step — delivered to your dashboard and inbox, with a Partial Pulse if a file is missing.

The email workflows — in and out

Email is both a way to feed DawnPulse and the way your briefing reaches you. Set it up once; it runs itself.

  • Forward once, flows forever. Point your platforms' scheduled report emails — Meta Ads, GA4, Stripe, Google Ads — at your unique DawnPulse address and each new export is picked up automatically.
  • Parsed like an upload. Attachments go through the same pipeline as a manual upload: dictionary, normalisation, messy-data audit, rules engine.
  • Receipt every time. A short confirmation email for every file received, so you know your data arrived and was understood.
  • The morning briefing. On the schedule you choose, one plain-English paragraph lands in your inbox — readable without logging in.
  • Partial Pulse when a source is late. You still get your briefing for everything fresh, plus a clear note on what's missing and how to fix it — a gap never silently breaks your routine.
  • Weekly roll-up on your day. Prefer a weekly cadence? Schedule a weekly Pulse and the whole week rolls up into one cross-platform review on the morning you choose.

What you get out of it

  • Minutes back every morning. The 4–6 hours a week spent pulling reports compresses into a 60-second read.
  • Numbers you can defend. Every figure is computed by deterministic rules, not generated by AI — and messy data is flagged openly, never silently patched.
  • Nothing slips through. Critical moves always surface, targets speak up when you're off track, and a late file triggers a Partial Pulse instead of a silent skip.
  • It learns your business. Your goal, notes, column answers, and targets make every briefing more yours — no dashboards, no formulas.

The rules-first promise

  • Every number is computed, not generated. If a number can't be computed by the rules engine, it doesn't appear in your briefing.
  • Messy files are flagged, not silently fixed. Health warnings tell you exactly what the audit found in your data.
  • Your goal decides what surfaces first — never what the statistics say. Critical moves (±25% or more) always surface, whatever your goal.
  • No dates? No problem. Snapshot mode gives you magnitude, concentration, and spread insights from the data you have.

Try it on your own export

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