Enable sales and customer success orgs with better data-driven insights

Empower your teams with more customer data for more impactful decisions.

Easy setup for fast access

No need for data engineers. Set up your pipelines within 10 minutes, no code required.

Centralize all your customer data

Leverage off-the-shelf connectors from the industry’s largest catalog of sales & customer success connectors.

Reduce sales cycle with the best customer experience

Centralize all customer data, and anticipate future needs by gaining a deeper understanding of the past.

Better understand and leverage your customer data

Empower your sales and customer analytics teams with the most advanced automated data pipeline available, enabling them to excel in their roles.

Provide sales leaders with valuable revenue insights

Get metrics at each stage of the funnel, such as meeting rate, time to close, sales efficiency, customer acquisition costs, customer retention and growth rates.

All your customer data centralized for your team and revenue leaders.

Easily consolidate all sales and customer data in one place, track the sales pipeline and gain valuable insights without any coding required. Provide sales leaders with valuable revenue insights.

Unlock the insights of your past data to accelerate the sales cycle

Combine historical customer and product data to better predict future sales, and build the right programs for every quality lead.
Case study
Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

Unlock analytics throughout your whole organization

Sales + marketing analytics

Understand and improve the full customer journey from initial marketing contact to completed sales.
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Sales + product analytics

Merge marketing data with product behavior data to better understand your ideal audience and their behaviors.
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Sales + finance analytics

Combine marketing expense data with financial budget data in order to track marketing spend.
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