NorthStar sets a target on every metric that matters, watches the full funnel against your actual orders instead of platform claims, and puts the gap, and what caused it, in your inbox at 8am.
$15B in revenue monitored. $10K+ in recoverable spend in week one, or you don't pay.
Most teams learn they've missed on the fifth working day of the following month, from a spreadsheet someone assembled the night before. By then the period is closed and the only thing left to do is explain it.
Someone on your team pulls the same numbers from five to nine tools every morning and pastes them into a sheet. The version that reaches the board is the version that got assembled last night.
Every ad platform reports its own performance against its own attribution window. Meta's number, Google's number and the Shopify admin's number disagree, and every budget decision sits in the gap between them.
Dashboards are pull. They wait for you to open them and ask the right question. A checkout that broke on Tuesday afternoon stays broken until someone thinks to check that particular chart.
The gap isn't measurement. It's that measurement arrives after the period it was measuring. NorthStar moves the finding to the morning it happened.
NorthStar connects the full funnel, reconciles it against your actual orders, holds it against targets you committed to, and tells you what moved and why, before you open anything.
Shopify, Meta, Google Ads, TikTok, GA4, Klaviyo, Adobe Analytics, site, checkout and OMS, in one view.
Every platform-claimed conversion checked against what actually sold.
Daily to quarterly, with pacing against the forecast landing point.
The same metric means the same thing in the report, the dashboard, Slack and your warehouse.
Email or Slack, at the time you set.
Not a screenshot of a dashboard. The actual thing that lands at 8am, rendered here in full. Every figure below is a sample, anonymized from a live account.
Daily report · Tuesday 18 August 2026 · compared to same weekday, last year (NRF 4-5-4)
Net revenue closed the day at $412,880, 5.8% below the comparable weekday last year, against a month-to-date target that now requires $448k/day to reach. The shortfall is not an acquisition problem: sessions and new-customer volume are both ahead. It sits in checkout, where completion fell 3.1 points, concentrated almost entirely in mobile iOS traffic following the express-pay configuration change on 16 August.
Written after the analysis, not before. If nothing moved, it says so, and a quiet day reported as quiet is what makes a loud one credible.
Every number carries its baseline, the absolute delta, the percentage delta and a z-score. The z-score is why a 4% drop on a noisy metric does not get your attention and a 4% drop on a stable one does.
Ranked high, medium, low. Three callouts, not thirty. Ranking is the product's job, not yours.
iOS carries the entire decline and is 54% of checkout sessions, so a 9.4-point drop there produces the 3.1-point blended figure on its own.
The metric broken down by the dimension that actually explains it, with the long tail collapsed into one bucket and a sentence saying what the split means.
What else was happening: marketing activity, funnel state, product mix and your own annotations, so a drop arrives with a cause attached rather than as a chart.
What the report cost us to produce, on every run. We don't bill you per analysis, so there is no reason to hide it.
A number is only a signal against the right baseline. You choose it once, and every report and every target uses it.
On the NRF 4-5-4 retail calendar, so Black Friday compares to Black Friday and not to the 24th of November.
For reads where last year is irrelevant: a launch, a new channel, a promo that has no precedent.
For the people who need the calendar to line up with the ledger rather than with the trading week.
Revenue targets tell you that you're behind. They don't tell you which of the eleven things feeding revenue is the reason.
CVR, new-customer CAC, checkout completion, repeat rate, contribution margin: anything in the catalog carries a target.
Each target runs daily, weekly, monthly or quarterly and reports as on track, off pacing, or firing.
A cumulative target tells you where you've got to. A pacing target tells you where you'll land if nothing changes, the only version you can still act on.
Coverage is a number, because a taxonomy with gaps in it can group but not govern.
Every metric in NorthStar is defined in one place and resolved through a governed semantic layer, so the number in your 8am report, the number in the dashboard, the number in Slack and the number your analyst pulls into the warehouse are the same number, computed the same way.
The ordered steps, in the order they happen.
Shopify, Meta, Google Ads, TikTok, GA4, Klaviyo, Adobe Analytics, your OMS.
How your team already talks about them, not how we'd file them.
Revenue and profitability, acquisition, conversion, active customers, lifetime value.
Now you can stop arguing about whose number is right, because every metric resolves through one governed definition, so the meeting is about what to do and not about the spreadsheet.
Connect NorthStar as an MCP server and ask your own data questions from Claude, ChatGPT or anything else that speaks the protocol. Read-only, OAuth, scoped per user: access is resolved on every request against the same permissions you set in the product.
No export. No copy of your data sitting in someone's chat history.
> Which step of the funnel is driving yesterday's revenue gap?
Checkout completion. 68.2% vs 71.3% baseline, worth $18.4k of the $25.2k gap, concentrated in mobile iOS since the express-pay change on 16 August.
Everything above is produced by one of five workflows. Each has a trigger, a cadence and an output you can point at. Nothing runs because you remembered to open a tab.
| Workflow | Runs | Produces | Available on |
|---|---|---|---|
| Morning report | Daily, at the time you set | Reconciled KPIs against your baseline, ranked callouts, and the dimension that explains the biggest one. Email or Slack. | Every plan, including free |
| Target pacing | Per target: daily, weekly, monthly or quarterly | On track, off pacing, or firing, against the forecast landing point rather than today's value. | Starter and above |
| Trend watch | Continuously, per metric | A deviation from baseline at the sensitivity and direction you chose, with its magnitude. | Trend forecasting add-on, Growth and above |
| Period comparison | On your comparison basis | Any metric that moved further than your threshold against the previous period or last year. | Starter and above |
| Ask | On demand, from Claude or ChatGPT | An answer computed on the same governed metric definitions. Read-only. | Starter, with limits. Unlimited Ask AI add-on removes them |
An agent writes the morning report. The other four are a rule engine on a schedule. We'd rather tell you which is which than call all five agents. None of them spend your money.
Shopify first, then your ad accounts and whatever else you run: Klaviyo, GA4, Adobe Analytics, your OMS.
Same weekday last year on the NRF 4-5-4 calendar, previous seven days, or same date last year. Every report and every target uses it.
Set a goal on any metric in the catalog, choose cumulative or pacing, and pick the cadence. Coverage shows how much of the funnel is governed.
Email, Slack, or both, at the time you set. Then it runs whether you log in or not.
Taken from each vendor's own public pages. Verified 19 August 2026. "None found" means not published on their public pages on that date, not that it doesn't exist.
| Capability | NorthStar | Triple Whale | Polar | Northbeam |
|---|---|---|---|---|
| Platform-claimed conversions reconciled line-by-line against orders | Yes | None found | None found | None found |
| Sample report published before you buy | Yes | None found | None found | None found |
| Targets with pacing on any metric | Yes | None found | None found | None found |
| Full funnel beyond ads: site, checkout, lifecycle, OMS | Yes | Partial | Yes | Ads only |
| MCP endpoint | Yes | Yes | Yes | None found |
| Charged per credit or per analysis | No | Yes | No | No |
| Money-back guarantee | $10K+ in week one or you don't pay | None found | None found | None found |
| Entry price published | Yes | $0 free tier, $179+/mo | Not published | $1,500/mo |
"Before Consequential our discovery of revenue impacting issues was lagging. Now we are alerted immediately and can react quickly."
We find $10K+ in recoverable spend in your first week, or you don't pay. Whatever you keep an agency for, it shouldn't be pulling the numbers together.
If you're tired of reacting to revenue drops after the fact, Consequential gives you the edge.