Dataslayer vs Supermetrics: The Price of Each Extra Seat

The short answer: if your Supermetrics renewal is due and your queries live in Google Sheets, Dataslayer can import them in one step and charges $35 a month billed annually for three connectors against $44 for Supermetrics Starter, but the real gap is people: four users cost $115 a month on Dataslayer Advanced and $177 + 2 x $99 = $375 on Supermetrics Growth, both billed yearly (checked on 26 October 2026 on the Dataslayer and Supermetrics pricing pages). Stay with Supermetrics if a source you report on is missing from Dataslayer's catalogue, or if you want warehouse transfers, storage and AI chats from one vendor and can take an Enterprise quote.

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Before you migrate:

1. Work out the saving on your own seat count. For one user, ($44 - $35) x 12 = $108 a year on yearly billing; for four, ($375 - $115) x 12 = $3,120 a year, using the plan prices on the Dataslayer and Supermetrics pricing pages. The first is small change; the second is a budget line.
2. Hold your current sheet against the import list. The importer runs in the Google Sheets add-on, under Tools, Import from Supermetrics, and lists twelve sources: Google Analytics, Google Ads (listed as Google Adwords), Facebook, Instagram Insights, Bing, Criteo, DCM, DV360, LinkedIn, Search Console, SA360 and Google My Business (migration article). Any other query is rebuilt by hand.
3. Plan one week of both. Keep the Supermetrics sheet running beside the imported copy for seven days. Every difference between the two is a setting to find before the old licence lapses.

The two, line by line

Read from Dataslayer's pricing page and homepage, and from Supermetrics' pricing page, AI tools article and MCP documentation.

What changes if you switch

The seat count stops driving the bill

Supermetrics caps Starter at three users in total and Growth at five, selling each extra one at $99 a month on yearly Growth billing (pricing page). Dataslayer jumps from one user on Starter to ten on Advanced, and its homepage pitches agencies on managing more clients without paying per user (homepage). A team whose report is read by many and edited by few gains little. A team where five people build queries gains most.

The warehouse gets a published price

Dataslayer's FAQ separates core destinations (Sheets, Excel, Data Studio, Power BI), with unlimited rows on paid plans, from enterprise destinations such as BigQuery and Snowflake, capped at 5,000 rows a month on Starter, 100,000 on Advanced and 2 million on Pro (pricing FAQ). Supermetrics answers the BigQuery question with a demo. If a warehouse is on this year's plan, only one of the two lets you price it tonight.

The AI connection is bought differently

At Supermetrics, AI chats are a destination like Sheets, so a Starter customer adds one or swaps one out (AI tools article). Dataslayer sells its MCP as the plan's single destination with unlimited messages, or includes it from Advanced beside another destination. The allowance on that second route is stated twice: 100 messages a day on the pricing page and 100 a month in the MCP billing article. Ask before a team builds a habit on it.

The price lists, read 26 October 2026

Dataslayer, per the pricing page: Starter $35, Advanced $115 and Pro $345 a month on annual billing, or $39, $139 and $419 monthly; its FAQ quotes the annual plans as 29€, 99€ and 299€. The annual view lists extras at $29 per connector, $13 per account and $29 per user, each up to a cap set by the plan.

Supermetrics, per the pricing page: Starter from $44 and Growth from $177 a month billed yearly, or $55 and $222 monthly. Growth extras run $37 per data source, $11 per account and $99 per user on yearly billing, and Enterprise is quoted.

Stay or switch, by job

Choose Dataslayer if your job is a paid media report in Sheets or Data Studio that three to ten people edit, a first BigQuery table on a small budget, or a cheaper home for queries you already built in Supermetrics.

Choose Supermetrics if your job is reporting on a platform outside Dataslayer's list, letting Claude or ChatGPT change campaigns with an approval step (how-to), or buying warehouse, storage and AI chats from one contract.

Dataslayer prints "Import data from Supermetrics" on every plan card of its pricing page and "1-click Supermetrics migration" on its homepage, because each switcher arrives with the setup work already done. The article behind that click is dated May 2024 and covers twelve sources in Sheets, so the one click holds for those twelve.

When the migrated numbers disagree

Most gaps after a move are settings, not data. Supermetrics' own guide says that when a query's conversion window does not match the attribution setting in Ads Manager, conversions will not align, and that ad sets with mixed settings should be read with the Default setting (attribution guide). Dataslayer's checklist starts with time zones, then Facebook attribution, then Google Analytics sampling (discrepancy article).

One AI step helps here, and Supermetrics documents it: in its AI chats and MCP, you set the attribution window by asking for it. Ask Claude through Supermetrics for last week's Facebook Ads purchases by campaign "using the attribution setting on each ad set, and say which one you used", then lay the answer beside the Dataslayer tab. The person running the switch signs off each campaign row where the two agree and writes down the cause for every row where they do not.

That parallel week costs nothing and settles the settings. It cannot settle the question behind every conversion column. Google's help page lists attribution settings and conversion delay among the reasons Google Ads disagrees with other platforms (Google Ads discrepancies), and Meta credits a purchase made within 1 day of an ad view (Meta attribution settings), so one order can sit in both platforms' columns while both connectors agree perfectly. If that becomes the question, a causal attribution tool such as Causality Engine (disclosure: I founded it) is one way to measure it continuously, once the migration is behind you.

Plans and limits sit in the Dataslayer entry and the Supermetrics entry.

FAQ

Can I import Supermetrics queries from Data Studio?

The documented importer is in the Google Sheets add-on (migration article). Plan to rebuild queries that live in other destinations.

Which is cheaper for one person reporting three platforms?

Dataslayer Starter, at $35 a month billed annually or $39 monthly, against Supermetrics Starter at $44 or $55 (Dataslayer pricing, Supermetrics pricing).

Does Dataslayer keep a copy of my data?

Its pricing FAQ says it processes data in real time and does not store your marketing data, delivering it straight to your destination (pricing FAQ).