Dreamdata vs Supermetrics Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Jun 2026 8 min read

Dreamdata

0.0 (0 reviews)

Dreamdata is a B2B revenue attribution and operations platform that connects your sales and marketing data to reveal which campaigns and channels actually drive pipeline and closed-won revenue.

Starting at Free
Free Trial NO FREE TRIAL
VS

Supermetrics

0.0 (0 reviews)

Supermetrics is a data integration platform that automatically moves your marketing data from over 150 platforms into your preferred reporting, visualization, and storage tools for streamlined analysis.

Starting at $29/mo
Free Trial 14 days

Quick Comparison

Feature Dreamdata Supermetrics
Website dreamdata.io supermetrics.com
Pricing Model Freemium Subscription
Starting Price Free $29/month
FREE Trial ✘ No free trial ✓ 14 days free trial
Free Plan ✓ Has free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud saas
Integrations HubSpot Salesforce Google Ads LinkedIn Ads Segment Slack BigQuery Pipedrive Marketo Intercom Google Sheets Excel Looker Studio BigQuery Snowflake Facebook Ads Google Ads LinkedIn Ads Instagram Shopify
Target Users small-business mid-market enterprise small-business mid-market enterprise
Target Industries
Customer Count 0 0
Founded Year 2018 2013
Headquarters Copenhagen, Denmark Helsinki, Finland

Overview

D

Dreamdata

Dreamdata is a revenue attribution platform designed to give you a clear picture of your entire B2B customer journey. By gathering data from your CRM, marketing automation tools, and ad platforms, it builds a unified view of every touchpoint a prospect takes before becoming a customer. You can finally stop guessing which LinkedIn ads or blog posts are working and start seeing the direct link between your marketing spend and closed deals.

The platform helps you align your sales and marketing teams around a single source of truth for revenue data. You can track long B2B sales cycles, measure the ROI of specific campaigns, and identify which accounts are showing intent before they even talk to sales. It is particularly effective for mid-market and enterprise B2B companies with complex buyer journeys involving multiple stakeholders and long consideration periods.

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Supermetrics

Supermetrics helps you eliminate the manual grunt work of moving marketing data into your reporting tools. Instead of downloading CSV files from Facebook, Google Ads, and LinkedIn, you can automate the entire process. You can pull data directly into Google Sheets, Excel, Looker Studio, or data warehouses like BigQuery and Snowflake without writing a single line of code.

The platform is designed for marketing agencies and in-house teams who need to consolidate data from multiple sources for cross-channel reporting. By centralizing your metrics, you can build comprehensive dashboards that update automatically, allowing you to spend your time analyzing performance rather than managing spreadsheets. It supports over 150 data sources, ensuring you have a complete view of your marketing funnel.

Overview

D

Dreamdata Features

  • Multi-Touch Attribution Assign revenue credit to every touchpoint across the buyer journey using first-touch, last-touch, or linear attribution models.
  • B2B Reveal Identify anonymous companies visiting your website so you can alert your sales team to high-intent accounts early.
  • Customer Journey Mapping Visualize the complete path from first click to closed-won deal for every account in your pipeline.
  • Ad Spend Optimization Connect your ad platforms to see the actual revenue generated by specific campaigns, keywords, and creative assets.
  • Data Warehousing Store all your cleaned and joined go-to-market data in a dedicated BigQuery instance for custom reporting.
  • Content Analytics Measure how your blog posts, whitepapers, and webinars contribute to pipeline creation and deal velocity.
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Supermetrics Features

  • Automated Data Extraction. Schedule automatic data refreshes so your reports and dashboards are always up to date without any manual intervention.
  • Multi-Channel Reporting. Combine metrics from different platforms like Facebook Ads and Google Ads into a single view for easy cross-channel comparison.
  • No-Code Interface. Build complex data queries and move information between platforms using a simple sidebar interface—no SQL or coding required.
  • Custom Metric Mapping. Standardize naming conventions across different platforms to ensure your data remains consistent and easy to read in every report.
  • Historical Data Access. Pull years of historical performance data from your marketing accounts to identify long-term trends and seasonal patterns.
  • Data Warehouse Uploads. Streamline your data pipeline by sending marketing metrics directly to BigQuery, Snowflake, or Azure for advanced enterprise analytics.

Pricing Comparison

D

Dreamdata Pricing

Free
$0
  • Unlimited users
  • Identify anonymous website visitors
  • Basic revenue dashboard
  • 6 months of data history
  • Standard integrations
S

Supermetrics Pricing

Essential (Google Sheets)
$29
  • 10 data sources
  • 1 user included
  • Weekly automated refreshes
  • Standard support
  • Google Sheets destination

Pros & Cons

M

Dreamdata

Pros

  • Excellent visibility into complex B2B buyer journeys
  • Powerful free version for identifying website intent
  • Seamless integration with major CRMs like HubSpot
  • Responsive customer support during the setup process

Cons

  • Initial data mapping requires significant technical effort
  • Pricing jumps significantly for the Business tier
  • Learning curve for interpreting complex attribution models
A

Supermetrics

Pros

  • Saves hours of manual data collection every week
  • Connects to a massive library of marketing sources
  • Integrates directly into familiar tools like Google Sheets
  • Automated refreshes ensure reports are always current

Cons

  • Pricing can become expensive as you add sources
  • Occasional authentication errors require manual re-connection
  • Learning curve for complex data transformations
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