Vazante

Comparisons

Supermetrics alternatives in 2026: 6 tools compared for ad reporting

Six Supermetrics alternatives compared by what they actually do: data pipes, client reports, social suites, and one that lets Claude read and act on your ads.

Also available in: Português

The right Supermetrics alternative depends on which job Supermetrics was doing for you. If it was a pipe feeding Google Sheets or Looker Studio, Windsor.ai is the closest one-for-one swap. If you have a warehouse and someone who owns it, look at Funnel. If the deliverable is a branded client report, AgencyAnalytics. If content scheduling and ads share a desk, Metricool. If you only run Meta and Google and would rather ask a question than build a dashboard, Vazante. This guide covers all six: where each fits, where each breaks, and how to switch without losing a reporting cycle.

The short version

ToolWhat it isBest fitActs on campaigns?
Windsor.aiData connector (a pipe)Replacing Supermetrics one-for-one in Sheets, Looker Studio, or BigQueryNo, by design
FunnelData hub with a normalization layerMid-size and enterprise teams with a warehouse and a BI toolNo, by design
AgencyAnalyticsClient reporting platformAgencies sending white-label reports to many clientsNo, reporting layer
MetricoolSocial media suite with ads reportingTeams that schedule content and run ads from the same seatNot its focus
Looker Studio, native connectors onlyFree BI tool from GoogleGoogle Ads reporting on a zero budgetNo, by design
VazanteDashboard plus a Claude connectorMeta and Google accounts you want to question and act onYes, with write actions turned on

The last column is the one most comparison posts skip. Pipes and reporting layers are read-only by design. That is not a flaw; a data pipe has no business touching your budgets. But if the reason you open a report on Monday morning is to decide what to pause, the distance between reading and acting is where your morning goes.

What Supermetrics does well, and why people leave anyway

Credit first. Supermetrics is mature, the connector catalog is wide, and the connectors hold up. When a client wants LinkedIn Ads next to Pinterest next to Microsoft Ads in one sheet, it delivers. A team that needs a warehouse fed every night has every reason to stay.

People go looking for an alternative for four reasons. After eight years of running paid accounts for small and mid-size businesses, this is the order I see them in:

  1. The bill outgrew the setup. A freelancer or a five-person agency pulls from two or three platforms and pays for a catalog built for dozens. The tool is fine. The fit is not.
  2. It is a pipe, not a report. Supermetrics moves data. The report still gets built, styled, and maintained somewhere else. When a field changes on Meta's side, you fix the query and then you fix the chart.
  3. Nobody reads the dashboard. You spent a weekend on a Looker Studio template. The client opened it twice, then went back to asking "how did we do this week?" by text.
  4. Reading is not acting. The report says a campaign's cost per lead doubled. Now you open Ads Manager, find the campaign, and pause it. The report never saved you that step, because a pipe is not built to touch a campaign.

Be honest about which reason is yours. If it is only the first, the cheapest fix may be trimming sources inside Supermetrics, not switching. If it is the second, third, or fourth, a like-for-like connector will not solve it either.

Three questions to answer before you compare features

Feature tables lie by omission. Answer these three questions first and half the list disappears.

1. Do you need a pipe or a report?

A pipe moves rows from the ad platform to a place you control: Sheets, Looker Studio, BigQuery. You own the layout, the history, and the maintenance. A report is the finished thing someone reads. Supermetrics, Windsor.ai, and Funnel are pipes. AgencyAnalytics and Metricool are reports. Vazante is a report with a conversation layer on top. If you have ever said "I just want to see the numbers," you want a report and you have been buying a pipe.

2. How many sources do you actually pull from?

Not how many you could. Open your current setup and count the connectors that ran last month. For most small teams the honest answer is Meta Ads, Google Ads, and maybe one more. A tool that covers those three well beats a tool that covers eighty adequately, because you pay for the eighty every month.

3. Who reads it, and what do they do next?

A client reads a report and asks a question. An account manager reads it and changes a budget. A finance person reads it and reconciles an invoice. Each of those needs a different tool. The mistake is picking one tool for all three and then wondering why the client portal has a budget column nobody should touch.

The six alternatives, one by one

1. Windsor.ai: the closest one-for-one swap

What it is. A data connector. Windsor.ai pulls from a wide catalog of ad and analytics platforms and pushes into Looker Studio, Google Sheets, BigQuery, Power BI, and other destinations. Its pitch is a catalog comparable to Supermetrics at a lower entry point.

Where it fits. You have working Looker Studio or Sheets reports, you like them, and the only thing you want to change is the invoice. Rebuild the data sources with Windsor.ai, keep the templates, and move on. If that is you, read the Windsor.ai comparison too, because the trade-offs between a pipe and a dashboard tool are the same ones in this article.

Where it breaks. Same category, same ceiling. It is a pipe. The report still lives in the destination, you still maintain it, and it is not built to pause a campaign. If reasons two through four above are yours, you have changed the invoice and kept the problem.

Check before you pay. Pull the same 30 days from one Meta account through Windsor.ai and through Ads Manager and compare the totals. Connectors expose attribution and breakdown settings differently, and a mismatch you discover after the client does is expensive.

2. Funnel: when there is a warehouse and someone who owns it

What it is. A marketing data hub. Funnel collects from ad platforms, normalizes fields across sources so that "cost" means the same thing everywhere, and exports to BI tools and data warehouses. It is priced and built for mid-size and enterprise teams.

Where it fits. You have a data analyst, a BI tool, and a warehouse, and marketing data is one feed among several. The normalization layer is the real product: it saves the analyst from writing the same field mapping for every platform.

Where it breaks. A five-person agency does not need a data hub, and the price reflects the audience. Setup takes ownership. If nobody on the team owns the data model, the normalization layer becomes a second place where numbers can drift.

Check before you pay. Ask who will own the field mapping six months from now. If the answer is "the agency," you are buying enterprise tooling for a freelancer's workflow.

3. AgencyAnalytics: when the report is the product

What it is. A client reporting platform built for agencies. Branded dashboards, client logins, scheduled reports by email, and a per-client pricing model, so the bill grows with your client list.

Where it fits. You have 15, 30, 50 clients and the deliverable they judge you on is the monthly report. Templates, white-label, and scheduling are the whole point. It replaces the "build a Looker Studio per client" weekend.

Where it breaks. It is a reporting layer, read-only by design. The account manager still goes to Ads Manager to act. And per-client pricing punishes the agency with many small clients on tight retainers; run the math on your smallest retainer before you sign. For what a client report should contain in the first place, see client reporting for small agencies.

Check before you pay. Build one real client's report end to end during the trial, then send it. The client's first question tells you whether the template answers it or just decorates it.

4. Metricool: when social content and ads share a desk

What it is. A social media management suite: scheduling, organic analytics, competitor tracking, and ad reporting for Meta, Google, and TikTok, with a free tier to start.

Where it fits. A small team where the same person writes Instagram captions on Monday and checks CPL on Tuesday. Organic and paid in one login, one calendar, one report. For a solo social manager it is often the only tool they need.

Where it breaks. Ads reporting is one section among several. If you manage 20 ad accounts and never schedule a post, you are paying for a calendar you do not open, and the daily "what do I pause" routine still happens in Ads Manager.

Check before you pay. Connect your most complicated ad account, the one with 12 ad sets and three lead forms, and see how far down the breakdowns go before you commit a client to it.

5. Looker Studio with native connectors: when the budget is zero

What it is. Google's free BI tool. It connects natively to Google Ads, Google Analytics, Sheets, and BigQuery. Meta Ads needs a partner connector, which is a paid third-party product, often from the very companies on this list.

Where it fits. Google Ads only, or Google Ads plus whatever you can get into a Sheet by hand. If you are willing to paste a weekly Meta export into Sheets, you have a free stack. Plenty of freelancers run exactly this.

Where it breaks. The moment Meta Ads matters, the free stack is not free. Either you pay for a partner connector, and you are back to choosing between tools one and two, or you maintain a manual export that breaks the week you take a vacation. The template also becomes a maintenance job of its own. Meta Ads reporting covers what belongs in it and what you can cut.

Check before you pay. Nothing to pay. Check instead how many hours a month the manual part costs and price your hour honestly.

6. Vazante: when you would rather ask than build

What it is. A dashboard for Meta Ads, Facebook Pages, and Google Ads, with a native connector for Claude. You authorize Facebook and Google once, pick the ad accounts and Pages you manage, and see spend, leads, cost per lead, ROAS, and the rest of the metrics per account and per campaign, with a chart by day. Then you add Vazante as a connector in Claude and ask in plain English: "which campaign had the cheapest lead in the last 7 days?" or "compare this week's spend with last week's, by campaign." Claude answers with the real numbers from the account, pulled live from the Meta and Google APIs. If the phrase "MCP connector" is new to you, what is MCP explains it without the jargon.

What puts it in a different category: with write actions turned on, Claude can also pause and reactivate campaigns, ad sets, and ads, adjust budgets, and, with a separate permission, create campaigns, ad sets, ads, and creatives. Write actions are off by default. You set a cap per action, every action asks for confirmation in the chat before it runs, and every change is logged with who did it, where it came from, and the state before and after, including the ones that were refused. The full picture of what Claude can read and do is in Claude for paid ads.

Where it fits. You or your team run Meta and Google accounts for several clients, and the report exists so someone can decide what to do. A freelancer with six accounts. An agency with a dozen clients where account managers live in Ads Manager. An in-house marketer who wants to ask "any ad set with CPL above US$ 20?" instead of building a filter.

Where it breaks. The scope is narrow on purpose: Meta Ads, Facebook Pages, and Google Ads. If the client needs LinkedIn Ads or Pinterest in the same report, this is not the tool. It does not push data into Looker Studio, Sheets, or a warehouse today, so if that pipe is the core of your stack, Vazante sits next to it rather than replacing it. It complements Ads Manager rather than replacing it. And the Claude side requires a Claude plan that supports connectors.

Check before you pay. The trial is 7 days on the Basic plan, no card. Connect one real account, add the connector to Claude, and ask the three questions your client asked last week. If the answers hold up against Ads Manager, you have your Monday morning back.

Side by side

Windsor.aiFunnelAgencyAnalyticsMetricoolLooker Studio (native)Vazante
CategoryPipeData hubClient reportsSocial suiteBI toolDashboard plus Claude
Meta AdsYesYesYesYesPartner connector, paidYes, 122 metrics with breakdowns
Google AdsYesYesYesYesNativeYes, daily budget editable
Organic socialThrough its connectorsThrough its connectorsYesYes, core strengthGoogle products onlyFacebook Pages next to paid
Where the report livesYour destinationYour BI toolIn the platformIn the platformLooker StudioIn the panel and in Claude
Acts on campaignsNo, by designNo, by designNo, reporting layerNot its focusNo, by designYes: write on, capped, confirmed, logged
Pricing modelTiered plansEnterprise plansPer clientFree tier plus paid plansFree; partner connectors cost extraBy connected accounts, from US$ 23 a month on annual billing
Best forKeeping existing Looker or Sheets reportsWarehouse-first teamsAgencies with many clientsContent and ads in one seatGoogle-only on zero budgetMeta and Google accounts you decide on daily

Two reading notes. "Through its connectors" means the pipe can pull organic Page data if you add that source, and you build the organic report yourself. "Not its focus" is not a "no": check the current feature set, because social suites change fast.

How to switch without losing a reporting cycle

Switching tools during a live reporting cycle is how you end up explaining to a client why March has two different spend totals. Run this in order.

  1. Inventory what actually runs. List every connector that pulled data last month, which report it feeds, and who opens that report. Anything with zero opens goes on a "do not rebuild" list.
  2. Freeze a baseline. Export the last 90 days of spend, results, and cost per result per account from your current setup into a plain sheet. You will reconcile against this, and you will want it if the new tool pulls less history than you are used to.
  3. Run both tools for one full cycle. Weekly reporters run both for two weeks; monthly reporters for one month. Nobody cancels anything yet.
  4. Reconcile the totals with the checklist in the next section, per account, before you look at any campaign-level number.
  5. Rebuild only the reports with readers. The list from step one. If a client never opened the Looker Studio link, replace it with a one-paragraph email plus a link to the panel, and watch whether they answer.
  6. Cancel last. After the client has seen one full report from the new stack and asked no question you could not answer.

The step people skip is the first one. They rebuild everything, including the four dashboards nobody opened, and then the new tool feels as heavy as the old one.

Why the numbers will not match, and what to check first

Two tools pulling the same account will disagree. Most of the gap is settings, not bugs. Check in this order:

  • Attribution window. Meta reports results according to the attribution setting on the pull; two pulls with different settings give different lead counts for the same spend. Match the setting to what Ads Manager shows the client.
  • Time zone. The ad account has a time zone. Sheets, Looker Studio, and your laptop may have another. A day boundary in the wrong place moves spend between days and, at month end, between months.
  • Currency. Accounts billed in different currencies, summed as if they were one, produce a total that means nothing. Convert or keep them apart.
  • Result definition. "Leads" in one tool may be on-Facebook form leads; in another, the pixel's lead event; in a third, both. CPL explains why this single choice changes the whole report, and ROAS has the same problem with revenue.
  • Data freshness. Some pipes refresh on a schedule; a panel that queries the API live shows today's spend as of now. Compare the same closed period, never "today."

If the totals match after those five and the campaign-level numbers still differ, then open a support ticket. Comparing Meta against Google adds a second layer of definitions on top of this; Meta and Google Ads in one dashboard walks through it.

Three setups, three answers

A freelancer with six Meta accounts and one Google Ads account. Reasons two and four from the top of this article. Skip the pipes. Seven connected accounts puts you on Vazante's Executive plan, which covers twelve accounts, three users, and write actions, so "pause that campaign" happens in the same chat where you asked about it. If the Google account is the only one that matters, Looker Studio native is free and enough.

An eight-person agency with 25 clients and monthly reports. The deliverable is the report, and the client list keeps growing. AgencyAnalytics is built for that shape, and per-client pricing is the number to model. If the account managers are the ones in Ads Manager every morning, Vazante's Agency plan (40 connected accounts, six users, REST API) is a second tool for them, not a replacement for the client-facing report. Beyond 40 accounts, the Scale plan has no fixed cap, under fair use.

An in-house team with a warehouse and a BI analyst. Funnel or Windsor.ai into BigQuery, depending on whether you need the normalization layer or just the rows. This is the one case where a like-for-like pipe is the right answer, and where Supermetrics itself may still be the right answer if the catalog earns its keep.

The mistake that costs the most

Comparing tools by connector count. Every vendor page leads with the size of the catalog because it is the easiest number to make bigger. It is also the number least connected to your Monday. Count the sources you used last month, decide whether you need a pipe or a report, and decide whether the reader needs to act. Then compare. Most teams end up with a shortlist of two, and the trial decides.

The second mistake is judging on the demo dashboard. Demos use clean data. Connect the ugliest account you have, the one with paused ad sets, a renamed campaign, and three lead forms, and see what the tool shows. That is what the client will see.

Where to start

Pick the reason you are leaving. If it is only the invoice and your Looker Studio reports work, try Windsor.ai and keep the templates. If the report is the deliverable, trial AgencyAnalytics with one real client. If you run Meta and Google and the report exists so someone can act, start a Vazante trial: connect one account, add the connector to Claude following the setup guide, and ask the three questions your client asked last week. Plans and limits are on the pricing page.

Frequently asked questions

Is there a free Supermetrics alternative?

Looker Studio is free and connects natively to Google Ads, but Meta Ads needs a paid partner connector. Metricool has a free tier with limits. Vazante offers a 7-day trial of the Basic plan with no credit card, then starts at US$ 23 a month on the annual plan.

Which Supermetrics alternative is the most similar?

Windsor.ai. It is the same category, a data connector that feeds Looker Studio, Google Sheets, BigQuery, and other destinations, so you can keep your existing reports and swap only the data source.

Can any of these tools pause a campaign or change a budget?

Data connectors and reporting platforms are read-only by design. Vazante is the exception: with write actions turned on, Claude can pause, reactivate, and adjust budgets, with a cap per action, a confirmation before each one, and a full change log.

Do I need a specific Claude plan to use Vazante's connector?

Yes. You need a Claude plan that supports connectors. You add Vazante in Claude's settings by pasting the connector address and authorizing it. There is no API key and no code.

How much does Vazante cost compared with Supermetrics?

Vazante's Basic plan is US$ 29 a month, or US$ 23 a month on annual billing, for four connected accounts and read-only Claude access. Supermetrics pricing depends on your setup, so compare against your current invoice rather than a list price.

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