A marketing anomaly detection tool that knows a real problem from a slow Tuesday
DawnPulse learns what normal looks like for every metric you track — then flags only the movements that fall outside your normal range. No more staring at dashboards wondering whether a dip matters. If it's in your morning briefing, it matters.
The problem
- Every dashboard shows you fifty numbers; none of them tell you which one changed in a way that matters.
- A 10% swing can be normal Tuesday noise for one metric and a five-alarm fire for another — static thresholds can't tell the difference.
- Slow declines are the expensive ones: a channel losing 3% a week for two months never triggers a single red alert.
- By the time a real anomaly is obvious in a weekly report, you've already lost days of spend or revenue.
What DawnPulse does about it
- Baselines built from your history. DawnPulse builds a normal range for every metric from your own data — weekday patterns included — so anomalies are judged against your reality, not a generic benchmark.
- Sudden spikes and slow slides both caught. Sharp overnight drops show up immediately. Gradual multi-week declines are surfaced by comparing against 60–90 days of history — the window most dashboards hide from you.
- Cross-referenced, not just flagged. An anomaly is only half the answer. DawnPulse checks your other channels — if paid spend dipped and conversions followed, the briefing says so.
- Explained in plain English. Every flag comes with what changed, the likely cause, and the specific next step — written for operators, not analysts.
What a briefing looks like
Email revenue is down 31% week over week — outside your normal range for the first time in four months. Nothing else moved: site traffic, ad spend, and conversion rate are all normal. The decline started the day your last campaign sent. Check for a deliverability or link-tracking issue before the next send.
Example — your briefing is written from your own data.
Frequently asked questions
Is my sales dip seasonal or a real anomaly?
That's the exact question the baseline answers. DawnPulse compares the dip against your own history — including typical weekday and seasonal swings. If the movement sits inside your normal range, it stays quiet. If it's genuinely unusual, it's in your morning briefing with the likely cause attached.
Can DawnPulse detect ad spend anomalies automatically?
Yes. Upload Meta Ads or Google Ads exports (live one-click connections are in development) and DawnPulse baselines spend, CTR, and cost per result — then flags pacing overshoots, sudden CPC spikes, and slow efficiency declines without you setting a single threshold.
What data does anomaly detection work on?
Anything you can feed it: one-click connections for Shopify, Mailchimp, and HubSpot, plus CSV, Excel, or JSON uploads from GA4, Stripe, Meta Ads, Google Ads, WooCommerce, SAP, or any custom export. You can also define custom metrics and they're monitored the same way.
Will I get buried in alerts?
No — that's the design. Because every flag is judged against your normal range and cross-referenced for cause, the morning briefing surfaces the few movements worth acting on, not a wall of red badges.