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SupermetricsAnalytics for small business — Supermetrics is built for marketing-focused small businesses and…

Pull marketing data from 100+ ad platforms straight into Google Sheets, Looker Studio, or Power BI—no more manual copy-paste reporting.

SMB score 7/10

Pricing

Free tier availableStarting at $39/mo

Tiered pricing model. Free plan available with limited features and data sources. Paid plans start at $39/month for Essential plan (billed annually at $468). Core plan at $119/month and Super plan at $239/month offer additional connectors and features. Pricing varies by destination tool (Sheets, Looker Studio, Power BI, Excel).

Overview

Picture a small e-commerce shop running paid ads on Google, Meta, and TikTok simultaneously. Every Monday morning the marketing manager opens three browser tabs, exports CSVs, pastes columns into a master spreadsheet, and spends an hour fixing broken formulas before anyone can even look at last week's numbers. Supermetrics eliminates that entire ritual by acting as an automated data bridge between your ad platforms and the reporting tools your team already lives in. At its core, Supermetrics connects to sources like Google Ads, Facebook Ads, Instagram, Shopify, LinkedIn, TikTok, HubSpot, and dozens more—then pushes fresh, structured data directly into Google Sheets, Looker Studio, Microsoft Excel, Power BI, or BigQuery on a schedule you define. You build a query once (choosing your metrics, date ranges, and dimensions), set it to refresh daily or weekly, and from that point forward your reports update themselves. No developer required, no data warehouse needed at the entry-level tiers. For a small agency owner managing five client accounts, Supermetrics means building a single Google Sheets template and cloning it per client rather than logging into each ad platform every time someone wants a performance update. For a solo founder running their own ads, it means a live Looker Studio dashboard that shows spend, ROAS, and conversions across every channel in one place without touching a spreadsheet manually. A marketing coordinator at a local retail brand can use it to schedule a weekly email summary pulled straight from refreshed Sheets data—saving hours the team didn't have to spare. Onboarding is genuinely fast for anyone comfortable with Google Sheets or Looker Studio connectors. You authenticate your data sources through OAuth, pick a destination, and configure your first query in under an hour for common setups. More complex multi-channel dashboards with custom blending take longer to design thoughtfully, but the tool itself isn't the blocker—your reporting logic is. The free trial covers major connectors, so you can validate the workflow before committing to a paid plan. Who should skip it: businesses that advertise on only one platform and check results occasionally won't recoup the subscription cost. Similarly, teams that need deep data transformation, custom SQL pipelines, or a full data warehouse solution will quickly outgrow Supermetrics' query-based approach and should evaluate purpose-built ETL platforms instead. It's also less compelling if your primary reporting tool isn't one of the supported destinations.

Features

  • Connects to 100+ marketing data sources including Google, Meta, TikTok, and Shopify
  • Automated scheduled data refreshes keep reports current without manual exports
  • Native connectors for Google Sheets, Looker Studio, Excel, Power BI, and BigQuery
  • Query builder lets non-developers select metrics, dimensions, and date ranges visually
  • Multi-account aggregation combines data from several ad accounts into one report
  • Pre-built dashboard templates accelerate setup for common paid-media reporting workflows
  • Data blending allows side-by-side comparison of metrics from different platforms

Best for

Supermetrics is built for marketing-focused small businesses and agencies that run paid campaigns across more than one platform and need consolidated reporting without hiring a data engineer. Digital marketing agencies managing multiple client ad accounts get the most obvious ROI—cloning query templates per client removes enormous manual effort. E-commerce brands tracking spend and revenue across Google Shopping, Meta, and TikTok simultaneously will find the cross-channel view genuinely useful. In-house marketing teams at SMBs with a dedicated ops or reporting person will also benefit, particularly if that person already works in Google Sheets or Looker Studio daily. It's less suited to businesses using only organic channels or those that check performance metrics only once a month.

Limitations

Supermetrics pricing scales by the number of data source connectors and destination seats, which can surprise growing teams—what starts as an affordable single-connector plan becomes meaningfully more expensive once you add four or five sources. The tool moves data but doesn't transform it in sophisticated ways; complex business logic, custom attribution models, or joining marketing data with CRM or financial data requires workarounds or additional tooling. Query limits and refresh frequency caps vary by plan tier. Support quality at entry-level plans is primarily documentation-based. Some less mainstream ad platforms may have connectors with limited field coverage—verify your specific sources on the vendor site before purchasing.

Why this SMB score

Supermetrics scores well on time-to-value for businesses that already use Google Sheets or Looker Studio—setup is measured in hours, not weeks, and the payoff is immediately visible when the first automated report runs. For agencies and multi-channel advertisers, the admin overhead savings are real and recurring. The cost predictability story is mixed: the base price is transparent, but connector-based pricing means the bill can climb faster than expected as an SMB matures and adds sources. Support burden is low once queries are configured, but troubleshooting a broken connector or OAuth token mid-reporting-cycle without a responsive support channel can sting. The tool's scope is intentionally narrow—it moves and displays data, not interprets it—which keeps it approachable but means SMBs still need someone who can read a dashboard critically. Deducting points for pricing unpredictability at scale and the lack of deep transformation capabilities that some growing SMBs eventually need.

Frequently asked questions

What is Supermetrics?
Pull marketing data from 100+ ad platforms straight into Google Sheets, Looker Studio, or Power BI—no more manual copy-paste reporting. Picture a small e-commerce shop running paid ads on Google, Meta, and TikTok simultaneously. Every Monday morning the marketing manager opens three browser tabs, exports CSVs, pastes columns into a master spreadsheet, and spends an hour fixing broken formulas before anyone can even look at last week's numbers. Supermetrics eliminates that entire ritual by acting as an automated data bridge…
Who is Supermetrics best for?
Supermetrics is built for marketing-focused small businesses and agencies that run paid campaigns across more than one platform and need consolidated reporting without hiring a data engineer. Digital marketing agencies managing multiple client ad accounts get the most obvious ROI—cloning query templates per client removes enormous manual effort. E-commerce brands tracking spend and revenue across Google Shopping, Meta, and TikTok simultaneously will find the cross-channel view genuinely useful. In-house marketing teams at SMBs with a dedicated ops or reporting person will also benefit, particularly if that person already works in Google Sheets or Looker Studio daily. It's less suited to businesses using only organic channels or those that check performance metrics only once a month.
What are the main limitations of Supermetrics?
Supermetrics pricing scales by the number of data source connectors and destination seats, which can surprise growing teams—what starts as an affordable single-connector plan becomes meaningfully more expensive once you add four or five sources. The tool moves data but doesn't transform it in sophisticated ways; complex business logic, custom attribution models, or joining marketing data with CRM or financial data requires workarounds or additional tooling. Query limits and refresh frequency caps vary by plan tier. Support quality at entry-level plans is primarily documentation-based. Some less mainstream ad platforms may have connectors with limited field coverage—verify your specific sources on the vendor site before purchasing.
Why does AIStackForSMB rate Supermetrics 7/10 for SMBs?
Supermetrics scores well on time-to-value for businesses that already use Google Sheets or Looker Studio—setup is measured in hours, not weeks, and the payoff is immediately visible when the first automated report runs. For agencies and multi-channel advertisers, the admin overhead savings are real and recurring. The cost predictability story is mixed: the base price is transparent, but connector-based pricing means the bill can climb faster than expected as an SMB matures and adds sources. Support burden is low once queries are configured, but troubleshooting a broken connector or OAuth token mid-reporting-cycle without a responsive support channel can sting. The tool's scope is intentionally narrow—it moves and displays data, not interprets it—which keeps it approachable but means SMBs still need someone who can read a dashboard critically. Deducting points for pricing unpredictability at scale and the lack of deep transformation capabilities that some growing SMBs eventually need.
How does pricing work for Supermetrics?
Offers a free tier or free trial. Paid plans from about $39/mo (verify on the vendor site). Tiered pricing model. Free plan available with limited features and data sources. Paid plans start at $39/month for Essential plan (billed annually at $468). Core plan at $119/month and Super plan at $239/month offer additional connectors and features. Pricing varies by destination tool (Sheets, Looker Studio, Power BI, Excel).
What category is Supermetrics in?
Supermetrics is grouped under Analytics on AIStackForSMB. Browse more tools in that category on our site under /categories/analytics.

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