What is Toplyne?

Toplyne is an AI workspace where marketing teams build audiences from customer data.

Toplyne's AI learns from your first-party customer data to generate audiences that convert - with ads, in-app nudges, email, sales, and more.

Demand generation, performance marketing, and marketing operations teams use Toplyne's AI-built audiences to automate their tasks.

Demand generation tasks like:

Convert website leads
Convert free users
Expand seats
Drive upsells
Drive cross-sells
Prevent churn

Performance marketing tasks like:

Build retargeting audiences for Meta and Google
Build prospecting audiences for Meta and Google

Marketing operations tasks like:

Lead scoring in CRM
Enrich contacts/companies in CRM
Enrich CRM with Product Usage Data

Toplyne automations are used by companies like Vercel, RocketReach, Notion, ClickUp, and Zapier - to increase conversion rates, net revenue retention (NRR), open rates, meetings booked rates and other metrics marketing teams own.

The key to Toplyne's effectiveness lies in our proprietary information layer, which serves as a data model that unifies disparate and noisy customer datasets. This layer organizes the data into a clean and composable format, optimized for building machine learning applications at scale.

Toplyne is trusted by companies from various industries, including software, financial services, and consumer businesses. Our customers use Toplyne to accurately forecast customer outcomes and proactively engage with their customers, regardless of the scale of their growth.

It's important to note that Toplyne is not a replacement for your existing sales, customer success, or marketing platforms. We seamlessly integrate with your current workflows, allowing your teams to continue working within their familiar environments. Insights and data from Toplyne can be activated by syncing data to your go-to-market (GTM) applications, pulling through our APIs, or leveraging your data warehouse.

Can't I do it myself?

Like with any software - Yes, of course you can. But GTM experimentation is easier said than done. You need to collate user data across applications, stitch it together & bring it to a warehouse. You then need to build AI models on top of this unified data. Finally, you need to output the model results in the CRM of your choice