Supermetrics Starter plan at $55/month covers one destination and three sources. Add more destinations, data sources and the price adds up quick. You'll easily be in the $300-400/month range regardless of how often you need the data. It is how per-destination, per-source pricing works and is best for enterprise companies who only care about a fixed budget they have to spend by the end of the year.
It's not how smaller businesses operate who are trying to be nimble and lean with costs. So the question is whether the value justifies the cost for your specific setup.
Supermetrics' own documentation recommends splitting large queries into shorter date ranges when Google Apps Script limits are hit. For a marketing analyst running monthly reports, that workaround is straightforward. For an ecommerce business pulling daily order, inventory, profit loss statements, and fee data across a large catalog, this requires tons of usage. So much in fact that we unfortunately weren't even able to create a single data feed during our 2 months of testing.
Supermetrics covers Amazon and Shopify as two sources among 150+. If you need Amazon inventory, fees, settlements, and SKU-level data structured for operational decisions, the connector depth reflects a tool designed for ad platform reporting.
Dataslayer runs the same pricing structure as Supermetrics: per source, per destination, per account. The Starter plan covers three sources, one destination, and daily refresh at $39/month. The difference is cost and support. G2 reviewers rate Dataslayer's support response time significantly faster than Supermetrics, which is the most repeated complaint on Supermetrics' Trustpilot page.
If you want the same workflow at a lower price with better support, this is the most straightforward switch. Your total cost will still compound on complex setups, but the starting point is lower.
Coupler.io covers 400+ sources including marketing, CRM, project management, and finance platforms, and delivers data to Google Sheets as its primary destination. The workflow is different from Supermetrics: Coupler delivers raw tables, and you build joins, filters, and appends manually. That gives more control and broader source coverage at the cost of a steeper setup.
One important constraint: data transformations are locked to the Active plan at $132/month. The Starter plan at $32/month delivers raw tables only, with no combining or filtering.
Windsor.ai covers 325+ connectors and 15+ destinations including Power BI and Tableau, which Porter Metrics, Dataslayer, and Coupler.io do not support natively. The Basic plan at $23/month includes 75 accounts across three sources, making it competitive on account volume at a lower price point.
The trade-off is reliability at scale. Heavy BigQuery users report connector instability on high-volume accounts. The raw data output requires SQL knowledge to clean and structure, so it works best for teams with technical resources.
Whatagraph is a reporting platform with its own built-in dashboards, data blending, and a strong AI layer. It sits between a reporting tool and a lightweight ETL. The Start plan at approximately $270/month covers 20 source credits with essential integrations. A source credit is one connected account.
The key limitation is integration tiering. HubSpot, Shopify, Salesforce, and Amazon Advertising are locked to the Boost plan at approximately $675/month. If those sources are central to your reporting, the entry price is not the real price. For agencies that need clean, client-ready dashboards without building in Looker Studio, Whatagraph is one of the better options on this list.
Databox is a dashboard and analytics platform built around KPI tracking, goal setting, and AI-generated insights. It covers 130+ integrations and stores data internally, so dashboards load fast. The Pro plan at $199/month includes three data sources, hourly sync, and AI analyst access.
The pricing model is unusual: one data source equals one connected account, not one platform. Three Google Ads accounts counts as three sources. Extra sources cost $7/month each. For agencies managing 10+ accounts, that adds up faster than the headline price suggests. Databox does not send data to external tools, so your data stays inside the platform.
Funnel.io stores all data in a managed warehouse before delivering to destinations. That architecture solves a specific problem: connectors for platforms with strict API rate limits like Shopify and HubSpot become reliable because the data is buffered rather than fetched live. 590 connectors. SOC2 certified.
The entry price is approximately $200/month, demo required, annual contract. If you are running enterprise-level data volumes with a technical team to handle setup, Funnel is the strongest option on this list for pipeline infrastructure.
Porter Metrics is the closest direct alternative if your team uses Looker Studio or Google Sheets for marketing reporting. It bundles all destinations into every plan, so adding Looker Studio and Sheets does not require two subscriptions. All plans include data blending, BigQuery storage, and unlimited users.
The real constraint is connector count. Porter covers 25+ sources versus Supermetrics' 150+. If you need platforms beyond the major ad channels and social sources, check the connector list before switching.
Gorilla ROI does not replace Supermetrics for marketing teams. It does not cover Google Ads, Meta, or GA4 at a depth that replaces Supermetrics, and it does not connect to Looker Studio or Power BI (yet).
The job Gorilla ROI is built for is narrower: pull Amazon, Shopify, and Walmart data into Google Sheets for ecommerce operations. Order data, inventory counts, fees, settlements, ad spend, and refunds, structured for a spreadsheet your team already works from daily.
If your situation with Supermetrics is pricing or query limits on marketing data, one of the seven tools above is the right switch. If your situation is to get ecommerce and operational data you need on a daily basis, then Supermetrics will likely fail you.
Gorilla ROI is the winner if your team works with Google Sheets daily, checking inventory, pricing, listings information, shipment status and other ecommerce data required daily.
It is the wrong choice if you a fancy looking dashboard if your primary need is ad platform reporting, or if your Amazon revenue is under $150K a year because a weekly CSV export still takes under 20 minutes.
Windsor.ai starts at $23/month with a free plan. Porter Metrics starts at $15/month with a free plan. Both include more in their base price than Supermetrics' Starter plan at equivalent usage.
Porter Metrics, Dataslayer, Windsor.ai, Coupler.io, Whatagraph, and Databox all offer free plans with real data access. Supermetrics offers a 14-day trial only, no permanent free tier.
Porter Metrics and Dataslayer both support Google Sheets directly with scheduled refreshes. Coupler.io specializes in Sheets as a destination with transformation support from the Active plan at $132/month.
None of the marketing data alternatives above cover Amazon operational data at the depth an ecommerce team needs. For Amazon inventory, fees, settlements, and SKU-level reporting in Google Sheets, Gorilla ROI is the purpose-built option.
For Looker Studio, you keep the report template and remap the data source connections. Field names may differ so some remapping is required. For Google Sheets, you rebuild the query structure in the new tool's syntax. Porter Metrics handles migration at no extra cost for new customers.
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Manual Exports Waste Your Team's Time