metriq vs Triple Whale

If you run Meta and Shopify, you have probably seen Triple Whale in a Twitter thread, a Slack channel, or a agency deck. It is one of the most recognized names in Shopify analytics. metriq is newer and narrower: we obsess over net profit after real costs, not just blended attribution storytelling.

This is not a hit piece. Both tools can help. The question is which problem you are actually trying to solve on Monday morning.

The one-sentence difference

Triple Whale is built to be your attribution and measurement layer — pixels, post-purchase surveys, blended ROAS, creative analytics, and a large partner ecosystem.

metriq is built to be your profit decision layer — connect ad accounts + Shopify, calculate margin after COGS and fees, then tell you what to pause, scale, or fix today (including via an AI analyst trained on your account).

Side-by-side at a glance

	metriq	Triple Whale
Starting price	$19/mo (Starter)	Typically higher tiered plans based on GMV
Core focus	Net profit + campaign decisions	Attribution, measurement, creative insights
Shopify + Meta + Google	Yes (TikTok on roadmap)	Yes, broad integration surface
COGS-aware profit	Built around it	Available in parts of the stack depending on plan/setup
AI recommendations	Account-specific Q&A + daily insights	Moby AI assistant + workflow features
Best for	Founders/media buyers making budget calls	Teams investing heavily in attribution infrastructure
Setup time	~2 minutes OAuth	Varies; pixel + survey setup can take longer

Pricing changes. Always confirm on each vendor’s site before buying.

Where Triple Whale still wins

Let’s be direct about the cases where Triple Whale is hard to beat:

You need a mature attribution story for investors or board decks. Triple Whale has been in market longer. Agencies know it. Stakeholders have heard of it. That social proof matters when you are trying to get budget approved.

Post-purchase survey attribution is central to your strategy. If you rely heavily on “how did you hear about us?” flows to reconcile Meta vs reality, Triple Whale’s measurement philosophy may align better with how your team already thinks.

You want creative analytics and creative testing workflows in the same ecosystem. Triple Whale pushes beyond dashboards into creative performance narratives. If your bottleneck is creative iteration — not margin math — that breadth can matter.

You are already deep in their partner stack. If your agency, email tool, or CRO partner standardizes on Triple Whale, switching cost is real even if another tool is theoretically better for profit.

Where metriq wins for Shopify operators

You are tired of “good ROAS, bad month.” We see this constantly. A brand reports 4.2x on Meta, then wonders why the bank account feels flat. Usually returns, COGS, and Shopify fees were never in the same frame as ad spend. metriq puts those numbers in one hourly-updated view.

You want campaign-level profit, not just account-level vibes. Pausing the wrong retargeting campaign is expensive. Scaling a prospecting campaign that looks great on platform ROAS but loses money after COGS is worse. metriq ranks campaigns on contribution margin, not platform-reported efficiency alone.

You want answers, not another dashboard tab. The AI analyst is not a chatbot stapled onto a help center. It ingests your campaign names, spend, revenue, and margin context before responding. Ask “which campaign should I pause right now?” and you get an answer that references your account — not a blog post about best practices.

You are price-sensitive but still need the core job done. At $19/mo entry with a 14-day trial, metriq is accessible for brands still validating channel mix. You should not need enterprise budget to know if yesterday was profitable.

The workflow test (try this on both tools)

Pick last week. Answer these four questions:

1. What was net profit after ad spend, COGS, Shopify fees, and returns?
2. Which single campaign destroyed the most margin?
3. If you had to cut 10% of spend today, where would you cut?
4. Can you explain the decision to a co-founder in under 60 seconds?

If a tool makes questions 1–3 painful, it does not matter how beautiful the attribution charts look.

Pricing reality check

Triple Whale pricing is typically tied to store size and feature tier. That can make sense at scale — you are paying for a platform, not a single report.

metriq pricing is intentionally simple:

• Starter ($19/mo) — one ad account, profit calculator, 30 AI questions
• Pro ($39/mo) — multiple platforms, 100 AI questions, Sheets sync
• Agency ($79/mo) — unlimited accounts, white-label, client dashboards

If you are sub-$2M and making weekly budget calls yourself, simplicity wins. If you are $20M+ with a data team, you may want both measurement depth and profit clarity — some brands run attribution in one tool and operational profit in another.

Who should pick Triple Whale?

• You have a growth team that lives in attribution models
• Your agency standardizes on Triple Whale reporting
• Creative testing velocity is your primary lever
• You need board-ready attribution language more than daily pause/scale calls

Who should pick metriq?

• You are the founder or media buyer making spend decisions
• You suspect platform ROAS is lying (politely, but still lying)
• You want daily profit clarity without a spreadsheet religion
• You want an AI analyst that cites your campaigns by name

Can you use both?

Yes — some teams do. Triple Whale for measurement narrative, metriq for margin operations. The mistake is assuming one dashboard replaces thinking. Tools reduce friction; they do not remove the need to know your costs.

Our honest recommendation

If you are choosing only one tool today and your pain is “I do not trust my profit number,” start with metriq. Connect Shopify + Meta, enter COGS once, and look at last 7 days. You will know within an afternoon if the problem is data or strategy.

If your pain is “we need a standardized attribution system across channels and partners,” evaluate Triple Whale seriously. It earned its reputation for a reason.

Either way, do not pick based on a Twitter poll. Pick based on last week’s numbers.