Meta says your ROAS is 3.1x. Google Ads says its campaigns did 2.6x. Shopify says revenue is up 8% for the week. None of those three numbers agree, and none of them alone tells you whether your ad spend is actually working. That's the job an acquisition analytics tool is supposed to do: pull Meta Ads, Google Ads, and your store data into one place and tell you what's really going on.
Plenty of tools claim to "integrate" with both platforms. Far fewer actually reconcile the numbers into something you can act on instead of three tabs that disagree — the attribution mess behind that disagreement is one we unpacked in Marketing ROAS Decoded. We compared six real, currently active options for Shopify brands: what each one actually does with a Meta and Google Ads connection, what it costs as of July 2026, and where it falls short.
Key Takeaways: Six tools genuinely connect Meta Ads and Google Ads for Shopify brands, but only four (Datadrew, Northbeam, Polar Analytics, Triple Whale) reconcile the numbers into one usable figure. Supermetrics and Windsor.ai are data pipes, not diagnosis tools. Published entry pricing runs from $19/mo to $1,500/mo — Polar Analytics no longer lists public prices — and most tools scale by GMV or ad spend, not features. All pricing was re-verified against vendor pages in July 2026.
Which Analytics Tool Integrates With Meta and Google Ads? The Short Answer
At least six tools connect natively to both Meta Ads and Google Ads for Shopify stores, but they solve different problems. Some (Datadrew, Triple Whale, Northbeam, Polar Analytics) reconcile spend and revenue into one number and explain what changed. Two (Supermetrics, Windsor.ai) just pipe the raw data somewhere else for you to model yourself.
| Tool | Meta + Google Ads integration | Reconciles to one number? | Best for | Starting price (July 2026) |
|---|---|---|---|---|
| Datadrew | Native, both, plus GA4 and Klaviyo | Yes — to Shopify revenue (gross or net) | Daily diagnosis for $1M–$20M Shopify brands, without overclaiming attribution | Free, then $99/mo |
| Northbeam | Native, both, plus TikTok and others | Yes — via its own multi-touch model | Statistically rigorous attribution for high-spend brands | $1,500/mo |
| Polar Analytics | Native, both, plus 45+ sources | Yes — inside a broader BI/Snowflake layer | Cross-functional reporting (ads, finance, ops) in one screen | Custom (no public list price) |
| Triple Whale | Native, both, plus TikTok, pixel-based | Yes — via its own attribution stack | Dashboard-first attribution at scale, 12-month contract | Free plan, then $219/mo |
| Supermetrics | Native pull, both, 100+ other sources | No — raw ETL only | Teams who want to build their own model in Sheets or a warehouse | $39/mo annual ($49 monthly) |
| Windsor.ai | Native pull, both, 320+ other connectors | No — raw ETL only | No-code data pipe into your existing BI tool | Free plan, then $19/mo annual ($23 monthly) |
How Did We Compare These Six Tools?
Tools are listed alphabetically, not ranked by preference. We included any tool that natively connects to both Meta Ads and Google Ads (not just CSV export), has active, publicly marketed pricing as of July 2026, and is genuinely used by Shopify brands today. Every price in this piece was re-checked against the vendor's own public pricing page in July 2026. Datadrew, the company publishing this piece, is one of the six. We've tried to describe its limits as plainly as everyone else's. This comparison is based on public documentation, pricing pages and product materials retrieved July 2026, not hands-on test accounts for all six tools.
The Six Tools, One by One
1. Datadrew
Datadrew connects Shopify, Meta Ads, Google Ads, GA4, and Klaviyo, then reconciles ad spend against actual Shopify revenue, gross or net, so the blended number matches what finance sees rather than what a pixel self-reports. Drew, its AI layer, runs the diagnosis daily and traces ROAS or CAC moves back to specific adsets, creative fatigue, or landing-page changes, which is the single most common thing users ask it to do.
Differentiator: Datadrew doesn't claim campaign-level or creative-level LTV and CAC, because that would require checkout-level click-ID capture no honest tool can currently promise. Instead it offers product-level LTV, first-touch UTM cohorts (clearly labeled as directional), and blended MER — a real limitation stated up front rather than modeled around.
Pricing: Free plan (1,000 Drew AI welcome credits and 3 months of history), then Essentials at $99/mo and Pro at $149/mo, no contract, with two months free on annual billing (Datadrew Pricing, retrieved July 2026). Meta and Google Ads connect through Datadrew's integrations, alongside GA4 for the session side of the same question.
2. Northbeam
Northbeam is a dedicated multi-touch attribution and marketing mix modeling engine, not a general analytics platform with attribution bolted on. It's built for brands with enough ad spend to generate statistically meaningful signal, and it covers Meta, Google, TikTok, and other channels natively.
Differentiator: Northbeam has no free plan and no trial. Starter begins at $1,500/mo for brands under $1.5M/year in media spend, while Professional (built for $250K+/mo spenders) and Enterprise ($500K+/mo) are now quote-only, with the price informed by data volume (Northbeam Pricing, retrieved July 2026). Below roughly $50K/month in spend, most brands can't generate enough data volume to make the model worth the cost. See our full Northbeam comparison for where the line sits.
3. Polar Analytics
Polar is less an ads tool and more a unified BI layer: dashboards across 45+ data sources, an "Ask Polar" chat interface, and a dedicated Media Buyer Agent, all running on a Snowflake warehouse under the hood. If ad performance is one of several cross-functional questions (finance, ops, retention) you need answered in the same screen, Polar covers more ground than an ads-only tool.
Differentiator: Every plan includes a dedicated Snowflake database and unlimited users, which is unusual in this category. Pricing, though, is no longer public: Polar's page now shows a Core plan and a Custom stack, both quoted through a demo, with add-ons like incrementality testing and Klaviyo Audiences priced separately by GMV or Klaviyo revenue (Polar Analytics Pricing, retrieved July 2026). Earlier list prices, around $300/mo for the entry tier, no longer appear on the page, so budget for a sales conversation before you can even compare. See how it stacks up in our Polar Analytics comparison.
4. Supermetrics
Supermetrics isn't an analytics tool so much as a pipe. It pulls raw Meta, Google Ads, TikTok, and 100+ other data sources into Google Sheets, Looker Studio, or a data warehouse, and you (or someone on your team) build the blended-ROAS model yourself. There's no diagnosis, no reconciliation logic, and no "why did this move," just the numbers, on a schedule.
Differentiator: One of the two cheapest genuine options on this list, but billing is priced per destination, so a second downstream tool means a second subscription. Starter runs $39/mo billed annually or $49 month-to-month, Growth $159/mo annually ($199 monthly), and Pro $399/mo annually ($499 monthly) (Supermetrics Pricing, retrieved July 2026).
5. Triple Whale
Triple Whale is the deepest dashboard-and-attribution stack on this list: pixel-based multi-touch attribution, marketing mix modeling, forecasting, and dashboards covering Meta, Google, TikTok, and more. If you need click-level attribution modeling on top of dashboards and can absorb the price, it's built for exactly that.
Differentiator: Pricing is GMV-scaled and 12-month subscriptions are standard on paid plans. A free plan now covers basic tracking and first/last-click attribution; Foundation starts at $219/mo and Automate at $749/mo, with annual prepay earning two months free (Triple Whale Pricing, retrieved July 2026). GMV growth moves you up a tier automatically, sometimes mid-contract. Compare it directly on our Triple Whale page.
6. Windsor.ai
Windsor.ai is a no-code data integration platform built specifically to connect ad platforms (Meta, Google, TikTok, LinkedIn, and 320+ others) into whatever BI tool, warehouse, or spreadsheet you already use. Like Supermetrics, it's an ETL layer, not a diagnosis engine.
Differentiator: Every plan, including the free tier, includes all connectors and unlimited destinations with no premium tiers gating specific platforms, which is rare in this category. Basic starts at $19/mo billed annually ($23 month-to-month) for 3 data sources — enough to cover Meta plus Google plus one more — and a free single-source plan also exists (Windsor.ai Pricing, retrieved July 2026).
What we noticed comparing these six tools: none of them, Datadrew included, can show true campaign-level LTV or CAC without checkout-level click-ID capture. Any tool that claims otherwise is modeling a number, not measuring one. Worth asking directly in a demo how a vendor gets from "click" to "customer."
Which Tool Fits Your Ad Spend and Team?
The right tool depends on ad spend, team size, and whether you need attribution precision or just a trustworthy daily number. A $2M GMV brand spending $15K/month on ads has a different problem than a $30M brand spending $300K/month, and the tools above are priced accordingly.
- Under $10K/mo ad spend: Supermetrics or Windsor.ai plus a simple spreadsheet model. A dedicated diagnosis platform isn't worth the price yet.
- $10K–150K/mo (most $1M–$20M Shopify brands): Datadrew, for daily reconciled diagnosis without a contract, at a fraction of what the dashboard-first tools cost.
- $50K+/mo where attribution precision matters more than efficiency: Northbeam.
- Need pixel-level attribution and dashboards at scale, and can commit to a 12-month contract: Triple Whale.
- Ads are one piece of broader cross-functional reporting: Polar Analytics.
A pattern worth naming: most of these tools price by GMV or ad spend rather than by feature usage — Triple Whale scales with your GMV, Northbeam with media spend and data volume, Polar by quoted scope. Picking a tool isn't just about today's price bracket. It's about which growth curve you're pricing yourself into over the next two years.
Need Real-Time Insights on Your Acquisition Channel Performance?
For most $1M–$20M Shopify brands, daily is enough. Ad performance rarely moves meaningfully hour to hour, and reacting to noise usually burns more budget than it saves. What actually matters is that the check happens reliably, without someone remembering to open a dashboard.
A scheduled diagnosis delivered to Slack or email every morning tends to catch real problems faster than an on-demand dashboard that only gets opened once something already feels wrong. That's the difference between "real-time" as a feature checkbox and "real-time" as something that actually changes what you do that day.
Why Is Customer Acquisition Cost Rising Every Month?
In 2026, ecommerce CAC has climbed roughly 40 to 60 percent since 2023, according to data cited across multiple 2026 benchmark reports (Mobiloud, Average Customer Acquisition Cost for Ecommerce, retrieved July 2026). The rise is rarely one thing; it's usually three compounding at once.
- Auction inflation. Google Ads CPCs rose 12.88% year-over-year per WordStream’s 2025 benchmarks (WordStream, Google Ads Benchmarks 2025, retrieved July 2026), and Meta CPMs hit record levels over the same period.
- Creative fatigue. The same two or three ad creatives running for six-plus weeks lose relevance, so CPMs creep up to hold the same delivery.
- A leak downstream of the click. Slow page load, a broken discount code, a confusing checkout step. The CAC math looks like an ads problem, but the fix is on the site.
Wanting to reduce CAC with better data usually means one thing in practice: seeing spend, conversion rate, and creative performance in the same place fast enough to catch the leak before it costs a month of budget, not seeing a prettier chart.
Why Did My Meta Ads ROI Drop After iOS Changes?
Apple's App Tracking Transparency framework limits how much of the customer journey Meta's pixel can see, and the gap hasn't closed. Meta Pixel visibility into conversions fell from roughly 85–90% before iOS 14.5 to a commonly estimated 40–60% today in many accounts (vendor estimates vary; e.g. Get Ryze, retrieved July 2026).
Meta responded with modeled conversions, statistical estimates that fill the visibility gap, which is why in-platform ROAS can look inflated or randomly volatile compared to what actually landed in Shopify orders. Attribution windows also shrank from 28-day click down to 7-day click by default, so Meta is crediting itself for a shorter, noisier window than it used to. None of this means the ads stopped working. It means Meta's own dashboard stopped being a reliable source of truth on its own, which is exactly the reconciliation problem a blended-ROAS tool exists to solve. See how to calculate blended ROAS across Meta, Google Ads, and Shopify for the full mechanics, and how the Meta ad auction itself works for why the platform-reported number moves in the first place.
How Do I Analyze Product Performance by Channel?
Most tools on this list answer "which channel drove the sale" reasonably well and "which product actually drives repeat customers by channel" poorly, because that requires joining ad-platform data, order-level Shopify data, and cohort behavior over time in one place. Polar Analytics and Datadrew get closest, through their broader data-source coverage and product-level cohort views respectively, while Northbeam and Triple Whale stay focused on the attribution side of the question.
If the real question is "which acquisition channel brings customers who buy again," that's a retention question wearing an acquisition-analytics costume, and it needs first-touch UTM cohort data layered against repeat-purchase behavior, not just spend-to-order matching. Datadrew's acquisition analytics view pairs first-touch channel data with product-level repurchase curves for exactly this question.
Frequently Asked Questions
Which analytics tool integrates with Meta and Google Ads?
At least six do natively: Datadrew, Northbeam, Polar Analytics, Supermetrics, Triple Whale, and Windsor.ai. Only four reconcile the spend and revenue numbers into one trustworthy figure (Datadrew, Northbeam, Polar Analytics, Triple Whale); Supermetrics and Windsor.ai are raw data pipes you build a model on top of yourself.
What are the top platforms for cross-channel e-commerce analytics and reporting?
For Shopify brands specifically, Triple Whale, Polar Analytics, and Datadrew are the most commonly shortlisted, each with different depth: Triple Whale leans into attribution and dashboards, Polar into cross-functional BI, and Datadrew into daily reconciled diagnosis at a lower price point.
Is there a tool to track blended ROAS across platforms?
Yes. Datadrew, Triple Whale, and Polar Analytics all calculate blended ROAS (also called MER, marketing efficiency ratio) against actual Shopify revenue rather than each ad platform's self-reported number (Triple Whale, What Is Marketing Efficiency Ratio, retrieved July 2026). The difference between them is depth and price, not whether the metric exists.
Can any tool show true CAC or LTV by ad campaign?
Not accurately, without deterministic click-ID capture at checkout, and any tool claiming otherwise is modeling, not measuring. Product-level LTV, first-touch UTM cohorts, and blended MER get most Shopify brands 90% of the decision-making value without the false precision of a number that can't actually be traced back to a click.
The Bottom Line
Six tools genuinely connect Meta Ads and Google Ads for Shopify brands, but "integrates with" and "reconciles for you" are different claims, and only four of the six make the second one. Match the tool to your ad spend and team size first; match it to your price sensitivity second. Datadrew starts free and reconciles blended MER and product-level LTV against your Shopify ledger for $99/mo, with no contract, if daily diagnosis at that price point is the fit.
Start free at datadrew.io and see yesterday's blended MER, diagnosed, in about 10 minutes.
Sources
- Datadrew Pricing — retrieved July 2026
- Northbeam Pricing — retrieved July 2026
- Polar Analytics Pricing — retrieved July 2026
- Supermetrics Pricing — retrieved July 2026
- Triple Whale Pricing — retrieved July 2026
- Windsor.ai Pricing — retrieved July 2026
- Mobiloud, Average Customer Acquisition Cost for Ecommerce (2026 Benchmarks) — retrieved July 2026
- Get Ryze, Meta Ads iOS Tracking Issues: Fix Attribution in 2026 — retrieved July 2026
- Triple Whale Blog, What Is Marketing Efficiency Ratio (MER)? — retrieved July 2026