Supermetrics vs 
Adverity
The main difference is who runs it. Supermetrics is a self-serve connector marketers set up in minutes, from €39 a month. Adverity is enterprise marketing ETL for data teams, with 600+ connectors, data quality checks and a warehouse, sold by quote (a median of about $53,700 a year) after 30 to 60 days of onboarding. Pick by team, not features.
By Theodor Lindfors, Founding Marketer, Lemonado
The short answer
Pick Supermetrics if marketers need data in Sheets, Looker Studio or an AI chat this week, on a self-serve plan. Pick Adverity if a data team runs a warehouse and needs 600+ connectors, data checks and governance at enterprise scale.
Pick Lemonado if- A private warehouse on day one
- One set of definitions for all
- Answers and reports from a question
Pick Supermetrics if- Reports in Sheets or Looker Studio
- Buy online, start today
- A handful of ad platforms
Pick Adverity if- You run a data warehouse
- Data checks on every pull
- Time for 30 to 60 days of setup
Supermetrics vs Adverity, side by side
The biggest gaps are how you buy, how long setup takes, and who runs the tool once it is live.
What it is
- Lemonado
- An AI co-worker for marketing. It analyzes the data, builds reports and does the follow-up work.
- Supermetrics
- A data pipe that sends marketing data into your tools and into AI chats.
- Adverity
- A marketing data platform that cleans data into your warehouse, with an AI layer on top.
Built for
- Lemonado
- Marketing teams and agencies without a data team.
- Supermetrics
- Marketers, analysts and agencies of all sizes.
- Adverity
- Enterprise brands, agency groups and their data teams.
How you buy
- Lemonado
- Self-serve. 10-day trial with $150 in credits, no card.
- Supermetrics
- Self-serve, monthly or yearly. 14-day trial, no card.
- Adverity
- Demo, then a custom quote on a yearly contract.
Setup
- Lemonado
- Connect your accounts and ask your first question the same day.
- Supermetrics
- Minutes to hours for Sheets or Looker Studio.
- Adverity
- 30 to 60 days of onboarding with an account manager, by Adverity's own estimate.
Connectors
- Lemonado
- 3,000+ tools. It can build a new connection to any tool with an API.
- Supermetrics
- About 150 marketing sources.
- Adverity
- 600+, plus custom connectors on request.
Where the data goes
- Lemonado
- Your own private data warehouse inside Lemonado. You work with it in chat, Studio dashboards, Slack and Teams.
- Supermetrics
- Sheets, Excel, Looker Studio, Power BI, AI chats. Warehouses on Enterprise.
- Adverity
- 40+ destinations: warehouses, BI tools, files and ad platforms.
Cleaning the data
- Lemonado
- Cleaned into one data layer automatically, with your team's own definitions of ROAS, CPA and the rest.
- Supermetrics
- Custom fields and blending. Full transformations on Enterprise.
- Adverity
- No-code transforms, Python, and automatic checks for gaps, duplicates and late data.
AI
- Lemonado
- Answers from your data, builds dashboards, flags problems, and changes campaigns with your approval.
- Supermetrics
- Sends data to Claude, ChatGPT, Gemini and Copilot. AI dashboards (beta) and campaign edits on seven ad platforms.
- Adverity
- Atlas, an AI analyst on top of your warehouse, plus MCP. Some AI features cost extra.
After you log off
- Lemonado
- Routines keep running: daily checks, alerts and reports to Slack, Teams or email.
- Supermetrics
- Data keeps refreshing on schedule. Campaign monitoring is in alpha.
- Adverity
- Data keeps refreshing, with quality alerts to email, Slack or Teams.
Want a governed data layer without the data team? Lemonado sets it up when you connect. Try it on your own accounts.
The key differences
These are the points that decide it for most teams. We give the edge to whichever tool comes out ahead for the reader most likely to search this.
Edge: SupermetricsPrice, and how much you can see before you buy
Supermetrics shows its prices: Starter and Growth are on the page, and extra sources, users and accounts have fixed add-on prices. Adverity shows no prices at all. Buyer data from Vendr puts the median Adverity contract around $53,700 a year, against about $13,700 for Supermetrics.
Edge: SupermetricsTime to your first report
A marketer can connect Google Ads to Looker Studio with Supermetrics in an afternoon. Adverity's own comparison page plans for 30 to 60 days of onboarding, and reviewers on G2 describe a learning curve of several weeks.
Edge: AdverityNumber and depth of connectors
Adverity lists 600+ connectors across 24 categories and builds custom ones on request. Supermetrics covers about 150 marketing sources, which is plenty for most ad and analytics stacks but thin for long-tail retail, affiliate or offline data.
Edge: AdverityData quality and governance
Adverity checks every data pull for duplicates, gaps, late data and schema changes, and alerts you. It also has nested workspaces and detailed access control. Supermetrics leans on the tool you send data to, though it now logs every AI change and supports approval rules.
Who runs it day to day
Supermetrics is run by marketers. Adverity is built around a warehouse, and its AI layer, Atlas, assumes you have Snowflake, BigQuery, Databricks or Redshift. In practice that means someone on a data or BI team owns it.
AI
Both ship AI now. Supermetrics goes chat-first: plug it into Claude, ChatGPT, Gemini or Copilot, and edit campaigns from the chat in early access. Adverity goes warehouse-first: Atlas answers questions from governed data and lets you bring your own model. Neither does the analysis and follow-up work on its own schedule.
Or skip the data project: what Lemonado does instead
Teams look at Adverity because they want one clean, trusted set of numbers. Lemonado gives you that on the day you connect, and then does the analysis on top, without a warehouse to run or a data team to hire.
A private warehouse, set up for you
Connect Google, Meta, LinkedIn, TikTok, GA4 and your CRM. Lemonado syncs them into your own private data warehouse with full history. There is nothing to model or maintain.
One set of definitions for everyone
Save how your team defines ROAS, CPA or a qualified lead once. Every answer, dashboard and report uses it, so four tools stop giving four truths.
Numbers calculated, not guessed
The AI runs real queries on your warehouse on its own computer, instead of estimating from a screenshot or an export. You can check every number.
The work on top of the data
Ask why a metric moved, get a live dashboard from one sentence, and hand off recurring checks and reports to routines that run on their own.
- tasks run by marketing teams during the beta
- 12,000+tasks run by marketing teams during the beta
- in ad spend managed with Lemonado during the beta
- $40Min ad spend managed with Lemonado during the beta
A client's CEO asked why they had just had a record-breaking month.
“I went into Lemonado, typed a prompt, and had his answer in 5 minutes. Before Lemonado, that's three hours of digging.”
Curtis HaysCo-founder, Collideascope2–3h5 minad hoc client analysisSupermetrics vs Adverity pricing
Supermetrics sells fixed plans you can buy online. Adverity sells custom quotes after a demo. At the same data volume, buyers report Adverity costing about four times as much.
LemonadoPricing: One monthly plan with unlimited seats. Credits pay for the AI work, not for each source or account. Try it free for 10 days with $150 in credits, no card. See plans
SupermetricsPricing: Starter €39/mo (billed yearly; €49/mo billed monthly) · Growth €159/mo (billed yearly; €199/mo billed monthly) · Enterprise, custom quote · verified November 2026
AdverityPricing: Core, Standard and Professional, custom quote · verified November 2026
A worked example. An in-house team with Google Ads, Meta, LinkedIn, GA4 and Shopify, three people, and Looker Studio. On Supermetrics that is the Growth plan plus two extra users, a few hundred euros a month on a yearly plan. On Adverity it is a quote, and Vendr's buyer data has the middle contract at about $53,700 a year, with a range of $13,000 to $168,000.
On Supermetrics, AI credits are the one thing that is metered. On Adverity, onboarding and premium services are billed on top, and features like Ask your dashboard are paid add-ons.
On Lemonado, the same setup is one plan with unlimited seats, a 10-day trial with $150 in credits, and no onboarding project. Collideascope, two founders with no analyst, set up a new client in under 10 minutes. See plans
What users say
Supermetrics wins on ease of use. Adverity wins on support and scale. Both get complaints about price. Ratings are from G2, checked November 2026.
Supermetrics
4.4 / 5 on G2, 820 reviews · checked November 2026
What people like
- Quick to set up, and marketers can run it without help.
- Broad ad and analytics coverage for the usual stack.
What people complain about
- Price jumps at renewal, and small plans run out of sources fast.
- Connectors to Sheets and Looker Studio break and need babysitting.
- Support scores are low: 3.8 out of 5 on Capterra.
Adverity
4.4 / 5 on G2, 320 reviews · checked November 2026
What people like
- Responsive support and a dedicated account manager.
- Handles large data volumes and a long list of sources.
What people complain about
- Steep learning curve. One reviewer needed six to eight weeks.
- Expensive, and the bill is hard to forecast.
- Slow processing, and data has to be re-pulled when a source changes.
The tools in detail
Lemonado is the AI co-worker for marketing. It syncs every platform into a private data warehouse on day one, keeps your team's definitions, answers in plain words and does the follow-up work.
Best for: Marketing teams who want one trusted set of numbers without a data team.
Where it falls down: It is not an enterprise ETL. If a BI team needs data in 40 destinations, Adverity fits that job.
- You want clean, stored data without an onboarding project.
- You want one set of definitions across every report and answer.
- You want answers and dashboards from a question.
- You want unlimited seats on one plan.
In Claude
In ChatGPTSupermetrics
Supermetrics sends ads, analytics and CRM data into Sheets, Excel, Looker Studio, Power BI and AI chats. In 2026 it added AI dashboards and campaign edits from Claude and ChatGPT.
Best for: Marketers and agencies who report in Sheets or Looker Studio.
Where it falls down: Plans cap sources, users and accounts, and warehouse destinations and full transformations are Enterprise only.
- You want to buy online and start today.
- Your reports already live in Looker Studio or Sheets.
- You want your ad data inside Claude or ChatGPT.
Adverity
Adverity pulls marketing data from 600+ connectors, cleans and checks it, and loads it into your warehouse. Atlas, launched July 2026, puts an AI analyst on top.
Best for: Enterprise brands and agency groups with a data team and a warehouse.
Where it falls down: No public prices, a sales-led buying process, and onboarding measured in weeks.
- You run Snowflake, BigQuery, Databricks or Redshift.
- You need data quality checks on every pull.
- You send data to many destinations at once.
Questions
Yes, in most cases. Supermetrics plans are on its pricing page and start in the tens of euros a month. Adverity only gives custom quotes, and buyer data puts the median contract around $53,700 a year.
Supermetrics. It is built for marketers who work in Sheets and Looker Studio, and G2 reviewers rate its ease of use and setup higher. Adverity expects a data team and weeks of onboarding.
Yes. Adverity claims 600+ connectors and builds custom ones on request. Supermetrics covers about 150 marketing sources, which is enough for most ad and analytics stacks.
Not to start, but that is where it shines. Its AI layer, Atlas, runs on Snowflake, BigQuery, Databricks or Redshift. Supermetrics only sends data to warehouses on its Enterprise plan.
Smaller agencies usually pick Supermetrics for the price and Looker Studio reports. Large agency groups pick Adverity for nested client workspaces and governance. Agencies that want reports and account work done for them look at Lemonado.
Partly. Both now let you ask questions in an AI chat. Neither watches your accounts and does the follow-up work on its own. Lemonado runs routines that check accounts, send reports and flag problems on a schedule.