You might have 500 new signups this week. That's great. But if your automated onboarding email treats the CTO of a Fortune 100 company who just invited five teammates exactly the same way it treats a student who signed up via Gmail and immediately logged off, you are leaving massive revenue on the table.
Joe Buyer needs a white-glove onboarding experience and a personal note from a dedicated Account Executive. Tim Hobbyist needs a link to the community forum and a "Getting Started" guide.
To maximize conversion, you need to solve two variables simultaneously:
- Identity (Enrichment): Who is this person and how big is their wallet?
- Intent (Behavior): What are they actually doing inside the product right now?
Usually, connecting these two dots requires a team of data engineers. With Elvity, you just need to ask.
The Problem: Data Silos Kill Conversion
Most PLG teams operate with partial sight.
- Marketing knows the email address (from the signup form).
- Engineering knows what the user did (buried in the application database logs).
- The Web holds the context of the user's company size and industry.
Stitching these three sources together usually involves CSV exports, SQL queries, and expensive enrichment tools that don't talk to your database. By the time you figure out that Joe Buyer is a high-value prospect, he's already churned.
Enter Elvity: Identity + Intent in Minutes
Elvity acts as the intelligent bridge between your raw application data and the outside world. Because Elvity allows non-technical users to build data pipelines using natural language, you can combine internal behavioral data with external enrichment data instantly.
Imagine building a "High-Value Prospect Detector" by typing this into Elvity:
"Look at new signups in our App Database from the last 24 hours. First, filter out public domains like gmail.com. Use the web to enrich the remaining corporate emails with Company Size and Industry. Next, check the 'event_logs' table in the database to see if these specific users have performed high-intent actions like 'invite_teammate' or 'upload_dataset'. If a user is from a company with >500 employees AND has invited a teammate, mark them as 'VIP - Hot Lead' and alert the Sales Director via Slack immediately."
In one simple request, Elvity performs a complex data engineering feat:
- It Enriches (Identity): It goes out to the web to find that joe.buyer@acme-corp.com works for a 10,000-person logistics firm. Now you know he has budget.
- It Analyzes Behavior (Intent): It dives into your raw Postgres or MySQL database to see that Joe didn't just sign up—he invited his VP of Engineering. Now you know he has a project.
- It Operationalizes: It routes this specific, high-context lead directly to a human, while letting the automated tools handle the smaller accounts.
The Result: The Right Message at the Right Moment
When you combine Enrichment with Event Data, your automation becomes intelligent.
The "Tim Hobbyist" Experience
Elvity sees a Gmail address and zero significant events in the app database. It routes Tim to your automated "Tips & Tricks" newsletter. Cost to serve: $0.
The "Joe Buyer" Experience
Elvity sees a Fortune 500 domain (Enrichment) and detects an API Key generation event (Behavior). It triggers a customized email from your Head of Customer Success: "Hi Joe, I saw you're setting up the API for [Company Name]. Given your team size, do you need help with rate limits?"
This is how you turn a signup into a contract.
You didn't need to learn SQL to query the event logs. You didn't need a separate subscription to an enrichment API. You just needed Elvity to put the pieces together.
Stop guessing who your users are. Start using Elvity to see the full picture.