How Perplexity increased data coverage by 68% and generated $600k in qualified pipeline

The Perplexity team had hundreds of thousands users in the database, with very little context. They were missing countless opportunities due to lack of better data. The Perplexity Team needed complete account and contact context to run targeted B2B campaigns: industry, company size, geography, job title, seniority and more. Sales teams’ time was crucial, so they wanted eliminate all non-decision makers from the list.

Meanwhile, Justin (GTM engineer) needed the same data to flow cleanly from sign-ups to Snowflake and then routed and scored Salesforce – without manual cleanup or duplicates.

Justin tested countless other data enrichment tools, but after weeks of learning and setup, the coverage remained low. Perplexity was left with fragmented data in their Snowflake, and in many cases — just a personal or outdated email. They needed a better way to get more information on their user base and route high-fit enterprise prospects accurately in their CRM, so the email-only leads could turn into pipeline.

WITH FLOQER

In a few hours, Janneta and Justin built an end-to-end enrichment workflow that pulled fragmented records from Snowflake, enriched each with core details – titles, company names, industry, domain, person’s LinkedIn URLs, geo and much more.

After adding the basic information, Justin needed two things:

• A way to identify if someone was a decision maker — and if not, to tag them so they wouldn’t be added to the campaigns.

• A workflow to route each prospect to the right campaign by matching them with industry verticals, where Perplexity offers specific use cases. To make it easy to send each prospect into the most relevant campaign for their needs.

This was made possible using the Floqer AI web agent. With just a few simple sentences, Justin was able to create comprehensive prompts (using Floqer’s prompt generator) for the web agent that eliminated non-decision makers and categorized the users with 99.98% accuracy.

Perplexity’s data coverage increased by 68% versus their previous tools, allowing them to find high-fit enterprise prospects that were previously missed and gain better insights into their user base to run GTM campaigns with confidence.

After a few months, we noticed that some of the titles went outdated as people changed jobs — old work emails started to bounce and prospect’s were often confused and replied with “I no longer work there”. This was impacting Perplexity’s campaign’s performance, and brand reputation. Justin was tasked to solve this problem.

Floqer team helped Justin configure Snowflake 2-way sync — which auto imported the leads every month, refreshed their titles, contact details, and rerouted if any changes were detected.

Justin finally had a living dataset in Snowflake that was used by both product and GTM teams.

Janneta and Justin faced a clear gap: despite Perplexity’s strong brand recognition and thousands of LinkedIn mentions, there was no system to capture those leads for upselling, or getting them enrolled for their partner program.



Before Floqer, the opportunities were invisible. Mentions piled up without tracking, enrichment, or a workflow to turn them into revenue. Valuable profiles with names, titles, companies, and contact details remained out of reach.



Without a structured process, countless high-intent leads slipped through the cracks, leaving Janneta and Justin without a scalable way to turn social listening into growth.

WITH FLOQER

We saw there were over 10K mentions a day on LinkedIn for Perplexity — many of them were qualified enterprise leads looking to learn more about the product. Within hours, Justin setup a signal in Floqer to capture every LinkedIn mention using Floqer’s intent signal dashboard.

However, not all the LinkedIn mentions were qualified for Sales team’s attention. Janneta needed a custom automation to read every post as she would, eliminate any existing customer, find all the reactors, qualify each one of them, enrich their contact info and route it to the correct sales rep in Salesforce.

Janneta used Floqer's workflows to set up the entire process in just a few hours. She used AI models and web agents (including Perplexity) to analyze content captured from each lead. With Floqer's no-code drag and drop modules, she branched the flow to filter out unqualified leads and the ones that are already in the CRM. She then used pre-built data cleaners to format the information according to their CRM rules.

In under a month, we found over ~75K new leads that mentioned or interacted with Perplexity’s content. Out of those, X.X% were net new qualified warm leads that knew Perplexity’s brand already — making it easier for sales team to kick off a discussion.

All new qualified leads were automatically added to Salesforce with fully enriched, structured account and contact data, and routed to campaign sequencer with personalized messages with insights from the social media posts.

Perplexity now runs enrichment, social capture, and activation in one place — so the GTM team can operate a predictable, high-intent pipeline.

68% higher data enrichment coverage on B2B sign ups vs previous data sources.
Thousands of qualified warm leads captured through social listening.
$600K in qualified pipeline from Floqer-sourced leads with just the first campaign.
20+ hours a week saved for Marketing Operations and data cleaning.