Northbeam vs Triple Whale
Both are paid attribution platforms for ecommerce and both pull ad spend and store revenue into one view, so the honest comparison isn't feature-by-feature — those change every quarter and a table published today misleads next month. The durable difference is centre of gravity: one category leans toward a fast operational dashboard your team opens daily, the other toward heavier modelling and incrementality estimation for larger multi-channel spend. Pick on spend level, team behaviour and cost at your volume.
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Attribution platforms · what breaks
What people get wrong about this choice — Attribution platforms
- 01
Choosing from a feature comparison
Both ship constantly. Any table is stale within a quarter, including one written by a vendor.
- 02
Buying before collection is clean
Both read the same events. Broken tracking is broken in both.
- 03
Ignoring whether the team will use it
A dashboard nobody opens is the most expensive kind.
Attribution platforms · the fix
Choose an ecommerce dashboard platform when
Your team wants a daily operational view
Fast, prebuilt, opened every morning.
You want post-purchase survey attribution
Self-reported data alongside measured, which is genuinely additional.
Spend is moderate
Heavier modelling has less to work with at lower volume.
Attribution platforms · architecture
Side by side, on the criteria that actually decide it — Attribution platforms
Four durable criteria. We've left out the feature comparison deliberately.
- 1
Centre of gravity
Operational daily dashboard versus deeper modelling and incrementality. Both do some of each; they lean differently.
- 2
Volume requirement
Modelling depth needs spend to learn from. Below a certain level it adds little over a simpler view.
- 3
Who uses it
An operational team versus an analyst. This predicts realised value better than any feature.
- 4
Cost at your volume
Both scale. Get quotes at your real numbers, not at the advertised entry tier.
Attribution platforms · diagnose
Limitations of both — Attribution platforms
Neither option is free of them. These are the ones that change the decision rather than the ones that sound impressive.
- 01
Both read the same events you already have
Neither improves collection, and both will present a collection gap confidently.
- 02
Both are models
Neither is measurement, and neither exposes its reasoning fully.
- 03
Both are recurring costs that scale
As you grow, so does the bill. Model it forward.
- 04
Switching later costs history
Comparability across a platform change is limited. Choose once if you can.
Attribution platforms · prove
How to check the choice was right — Attribution platforms
Same test either way, run on your own account rather than on a vendor's demo.
Source of truth
your store's order records
- Store orders reconciled against platform-reported conversions before buying either.
- Whichever is chosen: its reported revenue reconciled against your store monthly.
- Modelled figures identified as modelled before being reported upward.
- Underlying event collection verified independently of any dashboard.
- Reconciled over a fully closed window, matched per record rather than on totals.
- Re-checked 30 days later, because a setup that holds once and drifts is the harder failure.
Attribution platforms · free audit
What we check in the free audit
- Both read the same events you already have
- Both are models
- Both are recurring costs that scale
- Switching later costs history
Checked against
your store's order records
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Attribution platforms · when not to buy
Where we're not neutral — Attribution platforms
We sell neither, and we sell what sits under both.
- No relationship with either vendor, no referral fees, no preference. We build the collection layer both depend on.
- That's our bias: we benefit from you concluding that collection needs fixing before the dashboard is worth buying. It also happens to be true, and you can verify it yourself with a spreadsheet.
- We haven't published a feature table because we'd have to maintain it, and a stale comparison is worse than none. Read both vendors' current documentation.
- If your store orders already reconcile against your platform conversions, this is purely a preference decision and neither we nor anyone else should be telling you the answer.
Attribution platforms · what we deliver
Choose a media-mix modelling platform when
Spend is large and spread across channels
Where modelling has enough data to say something useful.
You want incrementality estimates
Rather than attributed revenue alone.
You have an analyst who'll interrogate it
Heavier modelling rewards someone who asks it questions.
Pricing
Pick the package that fits your ad spend
Browser-side starter
$400One-time fee · lifetime ownership
Repairs and verifies your existing browser-side setup. Honest about its ceiling: it fixes what's broken today, and the browser can still lose events tomorrow.
- Root cause fixed, not worked around
- Verified on a live conversion
- Reconciled against your own records
- Written handover
1st-party server-side
Recommended$800One-time fee · most popular
Money events sent from your own records through a first-party container on your subdomain, so the browser can no longer lose them.
- First-party server container on your own subdomain
- Conversions from your records, not the browser
- Deduplicated on a shared event ID at every destination
- First-party cookies beyond Safari's 7-day cap
- 95%+ accuracy and 8+ Meta EMQ, guaranteed in writing
Full 1st-party stack
$1,800One-time fee · lifetime ownership
Every paid channel server-side plus the offline loop, for advertisers whose spend makes an attribution leak more expensive than the build.
- Everything in 1st-party server-side
- Pinterest, Snapchat, Reddit and LinkedIn CAPI
- CRM and offline conversion loop
- Refunds and cancellations corrected wherever each platform allows it
- Monitoring so the next break surfaces in days
FAQ
Attribution platforms questions, answered
Neither, generally. They lean differently — operational dashboard versus modelling depth — and the right answer depends on your spend level and who'll use it.
Only if your team will use it daily and your collection already reconciles. Buying either to fix numbers that don't add up is a common and expensive mistake.
Get quotes at your actual revenue or spend. Both scale, and headline tiers rarely reflect what you'll pay.
Usually. Run both against the same closed month and compare each to your store's own orders — that's the only test that tells you anything real.
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Reconcile first, then pick a dashboard
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