Triple Whale vs Polar Analytics vs Northbeam: Which Fits Your GMV Band?

You have read the comparison posts, opened three pricing pages, and still have four tabs and no decision. Triple Whale, Polar Analytics, and Northbeam all stitch Shopify to Meta and Google.

All three show ROAS. All three scale price with how big you are.

The difference is which job each tool does best at your GMV band and monthly ad spend.

This post skips a full Alpomi versus Triple Whale head-to-head. That lives on /alternatives/triple-whale. Here we help you shortlist three GMV-priced incumbents, then explain when flat pricing wins.

Before you read band by band, gather four numbers: trailing 12-month GMV, monthly ad spend, percentage of revenue from paid, and whether you report to investors monthly. A £900k brand spending 50% of revenue on paid has different needs than a £900k brand spending 15% with heavy organic and retail.

At a glance: how to use this guide

Work through the quick comparison matrix, find your GMV band, then run the fourteen-day evaluation script at the end. If you are already on Triple Whale and renewal is coming, pair this with GMV pricing mechanics and the parallel-run playbook. Full Alpomi versus Triple Whale positioning lives on /alternatives/triple-whale.

Quick comparison matrix

:::table caption="Triple Whale vs Polar Analytics vs Northbeam at a glance" | | Triple Whale | Polar Analytics | Northbeam | |---|-------------|-----------------|-----------| | Core pitch | Shopify-native attribution + Moby AI | Analytics hub + Polar Insights AI | Multi-touch attribution depth | | Pricing model | GMV tiers | GMV / order volume bands | GMV tiers | | Best GMV sweet spot | £500k–£5M Shopify DTC | £1M–£10M multi-channel | £2M+ serious paid budgets | | Shopify depth | Deep native | Strong | Strong | | Profit / COGS | Yes (with setup) | Yes | Yes | | Creative analytics | Strong (Moby) | Moderate | Moderate | | MTA complexity | Moderate | Moderate | High | | Typical pain | Bill climbs with GMV | Learning curve | Price + implementation time | :::

Pricing sources: triplewhale.com/pricing, polaranalytics.com, northbeam.io. Verify live quotes. Third-party context: Eightx, Let's Talk Shop.

Under £500k annual GMV

At this stage you are often a single-product or small-catalogue Shopify store doing £20k–£40k monthly revenue with one person running ads nights and weekends, maybe an agency on retainer.

Triple Whale owns market share here. Entry GMV tiers keep sticker price approachable.

Moby demos well in sales calls. You get a real attribution dashboard without hiring a data team.

The catch appears later: every growth quarter nudges you toward the next bracket. Black Friday can double volume and renewal quotes jump.

Read why the bill climbs before you normalise tier movement.

Polar Analytics at sub-£500k can feel heavy. You pay for analytics breadth you may not open until SKU count grows. It fits better if you already run Google, Meta, TikTok, and email at volume that justifies a command centre.

Northbeam is usually overkill. Implementation and GMV floors target brands with dedicated growth leads and £30k+ monthly ad spend.

Practical pick: Triple Whale if you want the default Shopify DTC answer and accept GMV pricing. Flat alternative: Alpomi Starter at £100/month for Shopify + Meta + Google without a GMV escalator. Compare on /pricing.

Scenario: Bristol skincare DTC, £32k/month GMV, £8k ad spend. Illustrative TW entry ~£150/month versus Alpomi Starter £100/month flat.

The gap is small now. Project forward to £60k months after a retail launch: Triple Whale jumps bands; Alpomi stays flat.

Questions to ask in every demo

Push back if you hear "our ROAS will match Meta exactly" without an explanation of gaps. Ask for implementation checklist if someone says setup takes an afternoon.

Get the next GMV bracket threshold in writing when pricing "depends on growth." Confirm order match rate methodology. Prefer UK £ billing when you model TCO.

£500k – £2M annual GMV

You likely have product-market fit, repeat purchase flow, £60k–£150k monthly revenue, and finance asking for MER reports. Spreadsheet reconciliation probably broke, which is why you are reading this.

All three tools are viable. The choice shifts from "can they connect?" to "what do we optimise daily?"

Triple Whale still wins if your team lives in Moby for creative insights and you want the familiar Shopify app ecosystem. Illustrative bill at this band is often £250–£500/month.

Polar Analytics shines when you want cross-channel analytics beyond attribution: email, Amazon, retail in one UI. Agencies like template flexibility. Polar's ROAS content is useful for training junior staff.

Northbeam enters when paid is 40%+ of revenue and you need multi-touch models you can explain to the board. Setup takes longer. Payoff is cleaner fractional credit across touchpoints.

Practical pick: Polar if you report to investors on multi-channel mix. Northbeam if paid complexity is the bottleneck. Triple Whale if you want minimum switching friction.

Scenario: Manchester apparel, £110k/month, 55% Meta and 35% Google, £45k monthly ad spend. Illustrative TW ~£380/month, Polar ~£400–£550, Northbeam ~£600+ with onboarding. Budget forty ops hours for Northbeam setup.

Alpomi Pro at £300/month covers attribution plus Playbook and Action Board if you want recommendations, not only charts. Head-to-head with TW: /alternatives/triple-whale.

£2M – £8M annual GMV

You are on an eight-figure trajectory with a head of growth hire, a creative testing machine, and attribution errors that can cost five figures monthly.

Northbeam is the default enterprise-leaning pick for attribution rigour. Teams curious about media mix modelling often land here after outgrowing last-click dashboards. Budget roughly £700–£1,200+/month illustrative plus implementation.

Polar Analytics competes on analytics surface area. If your pain is board and agency reporting across markets, Polar's hub model reduces tab sprawl.

Triple Whale retains customers through habit and Moby workflows. At £2M+ GMV you are in mid-tier GMV pricing.

The question is whether incremental features justify two to three times the cost of flat Starter tools. Many brands stay until renewal shock forces a market test.

Practical pick: Northbeam for attribution science and budget to match. Polar for analytics consolidation. Triple Whale only if your team refuses workflow change and finance accepts GMV tax.

Scenario: London home goods, £420k/month GMV, £140k ad spend, three EU markets. Run a parallel 2–4 weeks before annual commit regardless of vendor.

Band summary reference

:::table caption="GMV band → typical winner (starting point only)" | Annual GMV band | Often wins on fit | Watch out for | |-----------------|-------------------|---------------| | Under £500k | Triple Whale entry | First bracket jump after growth | | £500k – £2M | TW or Polar by channel mix | GMV renewal shock | | £2M – £8M | Northbeam or Polar | Implementation time + TCO | | £8M+ | Enterprise RFP (all three) | Opaque custom quotes | | Any band, flat OPEX priority | Alpomi Pro | Feature depth vs Moby/MTA | :::

£8M+ annual GMV

At this scale you are running RFPs, not blog matrices. Patterns still hold.

Northbeam and Polar both pitch enterprise packages with custom GBP pricing, quarterly business reviews, and SLA language. Triple Whale enterprise tiers bundle Moby, creative analytics, and multi-store with opaque pricing until a call. GMV linkage remains. Negotiate hard at renewal.

Above £8M GMV, illustrative TW, Northbeam, and Polar costs can exceed £12k–£18k/year all-in. Alpomi Pro at £3,600/year will not replace every enterprise feature.

It wins when your job is unified ops plus closed-loop growth without GMV escalators. See /integrations for connector scope.

Scenario: UK-founded supplement brand, £1.1M/month GMV, US and UK stores. Enterprise TW quote ~£1,400/month versus Northbeam custom ~£1,100/month. Decisions often hinge on incrementality test support, not dashboard pixels.

Job-to-be-done cheat sheet

:::table caption="Pick a starting shortlist by primary job" | Your primary job | Start here | |------------------|------------| | Default Shopify DTC stack fast | Triple Whale (under £2M) | | Board-ready multi-channel analytics | Polar Analytics | | Defensible multi-touch attribution | Northbeam (£2M+) | | Flat OPEX + growth loop, not just charts | Alpomi Pro | | Fix three-tab ROAS chaos first | ROAS mismatch guide | | Switch without blowing up Q4 | Parallel-run playbook | :::

Two-week evaluation script

Do not buy on demos alone.

Days 1–2: Connect Shopify, Meta, and Google on all finalists with the same historical window.

Days 3–5: Export fifty orders. Compare platform-attributed revenue to each tool's match rate.

Days 6–8: Calculate profit ROAS with COGS loaded. If COGS import fails, score that failure.

Days 9–10: Finance reviews twelve-month TCO with +30% GMV growth assumption.

Days 11–14: Team vote on daily UX. Weight votes by who logs in daily.

Kill any tool that cannot explain why Meta ROAS differs from Shopify revenue in plain language. Our ROAS post is the test question.

Evaluation scorecard

Score each finalist after fourteen days. Weighted average below 3.5 loses unless Northbeam-style attribution depth is your explicit requirement.

:::table caption="Fourteen-day vendor scorecard (weighted)" variant="scorecard" | Criterion | Weight | TW | Polar | Northbeam | Alpomi | |-----------|--------|-----|-------|-----------|--------| | Order match rate (50-order test) | 25% | /5 | /5 | /5 | /5 | | Profit ROAS with COGS | 20% | /5 | /5 | /5 | /5 | | Daily UX (media buyer vote) | 20% | /5 | /5 | /5 | /5 | | 12-month TCO at +30% GMV | 20% | /5 | /5 | /5 | /5 | | Gap explainability demo | 15% | /5 | /5 | /5 | /5 | :::

Score after fourteen days. Any tool below 3.5 weighted average loses unless it wins decisively on attribution science and you have budget for Northbeam-style depth.

Whichever tool wins, budget COGS import, UTM enforcement across live campaigns, and a standing Monday MER review in the first thirty days. Tools surface broken inputs faster. They do not fix them automatically.

Frequently asked questions

Which is cheapest under £1M GMV? Often Triple Whale entry tier or flat Alpomi Starter. Compare illustrative TW on their pricing page versus £100/month Alpomi. Include add-ons in TW quotes.

Polar vs Triple Whale for Shopify-only stores? Triple Whale is more Shopify-native in UX. Polar wins if you need broader analytics beyond DTC paid. If 90%+ revenue is Shopify DTC, TW or flat Alpomi usually beats Polar on simplicity.

Is Northbeam worth it under £2M GMV? Usually no unless paid spend exceeds £40k/month and you have ops capacity for setup.

Do all three use GMV pricing? Mostly yes. Alpomi is flat on /pricing. Ask when bracket reclassification triggers.

How do I switch from Triple Whale? Parallel-run 2–4 weeks per our switching playbook. Do not cancel until the challenger passes the five-metric scorecard.

Where is the full Alpomi vs Triple Whale comparison? /alternatives/triple-whale. Read GMV pricing mechanics if renewal shock triggered the search.

Pick the tool that matches your band and daily job, not the loudest podcast sponsor. Want flat pricing with Shopify, Meta, Google, and a closed growth loop? Start free on Alpomi.

Run it beside your shortlist for two weeks. Let order-level truth pick the winner.