Openprise connects directly to Snowflake and other data warehouse environments, reading product usage signals as a live data source without requiring your engineering team to build a custom integration or reverse ETL pipeline. Your Ops team configures what data to read, how frequently to check for new or updated signals, and what to do with those signals — enrich, score, route, suppress — using Openprise's no-code recipe builder. When your Ops team can access and act on product data without an engineering ticket, your PLG funnel moves at the speed of your product motion, not the speed of your development backlog.

A name and email address is enough to start an enrichment waterfall. Openprise infers the company from the email domain, sends the record through your configured enrichment vendors in sequence, and fills company name, industry, employee count, title, and any other fields your scoring and routing logic depends on. The result is a minimal signup form at the top of the funnel — collecting only what's needed to get the user started — and a fully enriched, sales-ready record by the time the rep touches it. Teams with name-and-email-only signup forms use Openprise MVE to go from a raw signup to a sales-ready contact in the same day.

PLG scoring combines two signals that standard lead scoring models typically handle separately: firmographic fit and product behavior. Firmographic fit tells you whether the account is a good ICP match — the right industry, size, and segment. Product behavior tells you whether the user is actually engaged — active sessions, feature usage depth, approaching a usage limit, inviting teammates. Openprise pulls product engagement signals from your data warehouse and firmographic signals from enrichment, combining both into a single scoring model in the no-code rule builder your Ops team controls. The result is a prioritized list that reflects both who fits your ICP and who is showing real buying behavior — not just who signed up most recently.

Not every trial user is ready for sales — and sending every active user to an SDR wastes quota and burns goodwill with users who are still self-evaluating. Openprise applies your threshold logic to segment the trial population: high-fit, high-engagement users get routed to sales with a rep alert and enriched context. Lower-fit or low-engagement users get added to a nurture track in your MAP without any rep involvement. Teams transitioning from PLG to sales-led motions use Openprise to build an ICP model and a lookalike model in the first 60 days, expanding their addressable market significantly while keeping self-serve users in appropriate automated nurture. The same infrastructure that moves the right users to sales also keeps the rest engaged, so no product signal is wasted.

Product-led growth funnel automation is the practice of using product usage signals — active sessions, feature adoption, usage limits, invite behavior — to automatically identify, enrich, score, and route trial users to sales or nurture tracks without manual Ops intervention. The challenge is that product signals live in your product database or data warehouse, while your sales and marketing workflows live in your CRM and MAP. Without a data orchestration layer connecting them, Ops teams end up pulling manual exports, enriching spreadsheets, and handing lists to sales one at a time. Openprise is the orchestration layer that closes that gap. It reads product signals from Snowflake or your data warehouse, enriches records through a multi-vendor waterfall, applies your scoring model, and routes the right users to Salesforce and your MAP — automatically, on a continuous schedule, without engineering involvement at every step.

Openprise connects to Snowflake as a live data source, reading product usage tables and user activity data on a configurable schedule. When new signups or engagement signals appear, Openprise triggers your configured workflow: enrich the record through your MVE waterfall, apply ICP fit scoring against firmographic data, combine that with the product behavioral score from Snowflake, and route the resulting scored record to the correct Salesforce queue and Marketo program. No custom engineering. No reverse ETL pipeline to maintain. Your Ops team configures the connection, defines the logic, and Openprise runs it continuously. The result is a live, automated bridge between your product database and your GTM execution systems — so product usage signals translate into sales action on the same day they occur.