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Last Updated
How Perplexity cleaned and enriched 10M+ records and generated
A conversation with
GTM Engineer & Consultant
Enterprise Growth Lead
Product Marketing Lead
10M+
Records Cleaned and Enriched
with Floqer
Millions
In Qualified Pipeline
generated from Floqer-sourced leads
2K+
Warm Qualified Enterprise Leads
captured through social listening
About Perplexity
Founded in 2022, Perplexity is an AI answer engine — built to deliver fast, cited answers from the live web, not "ten blue links." What began as a better way to ask questions has expanded into a full research and browsing stack, with Deep Research for autonomous investigations and Comet, an AI-native browser.
Where keyword SERPs, endless tabs, and manual note-taking create drift and rework, Perplexity centralizes the flow of research: ask in natural language, get a synthesized answer, and verify sources in one place — updated in real time.
Perplexity serves both individuals and teams. Power users benefit from deeper analysis and automation features, while organizations gain admin controls and configurable data retention through Enterprise Pro. Over 7,000 organizations across North America and Asia use the enterprise plan, including Stripe, Zoom, Snowflake, Databricks, and Replit.
Industry
AI Search
CRM
Salesforce
Headquarters
San Francisco, US
Funding
$1.2B
Valuation
$20B
Floqer helped us improve data quality at scale, identify decision-makers, and route prospects properly. Automated social monitoring surfaced missed leads, and Floqer-sourced campaigns built qualified pipeline.
Janneta Tabakov,
Enterprise Growth Lead
Floqer helped us improve data quality at scale, identify decision-makers, and route prospects properly. Automated social monitoring surfaced missed leads, and Floqer-sourced campaigns built qualified pipeline.
Janneta Tabakov,
Enterprise Growth Lead
Cleaning and enriching 10M+ records
The Perplexity team needed to clean and enrich more than 10 million user records with complete account and contact context for targeted B2B campaigns: industry, company size, geography, job title, seniority and more. Sales teams' time was crucial, so they wanted to 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 in 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.
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.
“It was a breeze for us to sync our Snowflake data with Floqer — it took me just a couple of minutes to set up, compared to days of building new tables and migrating data to Salesforce. Floqer has really streamlined our data orchestration, even when handling millions of records.”
Justin Tung
GTM Engineer & Consultant
“It was a breeze for us to sync our Snowflake data with Floqer — it took me just a couple of minutes to set up, compared to days of building new tables and migrating data to Salesforce. Floqer has really streamlined our data orchestration, even when handling millions of records.”
Justin Tung
GTM Engineer & Consultant
Scaling lookalike prospecting from existing customers
A way to identify if someone was a decision maker — and if not, to tag them so Perplexity wouldn't add them to its campaigns.
A workflow to match each prospect with an industry vertical, then hand the enriched record to the right campaign in Perplexity's outreach stack.
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.
With Floqer, Perplexity cleaned and enriched 10M+ records, 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.
“We were flying blind with email — only signups. Floqer enriched our database with accurate company information, work emails, and decision-maker flags for us to build targeted campaigns based on our ICP segments.”
Justin Tung
GTM Engineer & Consultant
“We were flying blind with email — only signups. Floqer enriched our database with accurate company information, work emails, and decision-maker flags for us to build targeted campaigns based on our ICP segments.”
Justin Tung
GTM Engineer & Consultant
After a few months, we noticed that some of the titles went outdated as people changed jobs — old work emails started to bounce and prospects were often confused and replied with "I no longer work there". This was impacting Perplexity's campaign performance and brand reputation. Justin was tasked to solve this problem. The 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.
“Manual data maintenance was killing our campaigns. With Floqer's Snowflake 2-way sync, we've built a self-updating database that refreshes contact details monthly.”
Justin Tung
GTM Engineer & Consultant
“Manual data maintenance was killing our campaigns. With Floqer's Snowflake 2-way sync, we've built a self-updating database that refreshes contact details monthly.”
Justin Tung
GTM Engineer & Consultant
Getting leads from Social Listening
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.
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 set up a signal in Floqer to capture every LinkedIn mention using Floqer's intent signal dashboard.
However, not all the LinkedIn mentions were qualified for the Sales team's attention. Janneta needed a custom automation to read every post as she would, eliminate any existing customers, find all the reactors, qualify each one of them, enrich their contact info and route it to the correct sales rep in Salesforce. In under a month, they found over ~75K new leads that mentioned or interacted with Perplexity's content. Out of those, a significant portion were net new qualified warm leads that knew Perplexity's brand already — making it easier for the 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 Perplexity's sequencer with personalized messages built from insights in the social media posts.
The Results
Across its enrichment and social-listening workflows, Perplexity cleaned and enriched 10M+ records and generated millions in qualified pipeline from Floqer-sourced leads.
The Numbers
10M+
records cleaned and enriched
with Floqer.
Thousands of qualified warm leads captured
Through Social Listings
Millions
in qualified pipeline
generated from Floqer-sourced leads.
20+ hours a week saved
for Marketing Operations and data cleaning.
We've improved our data quality and now have a steady flow of high-quality leads, all without any manual effort. Instead of spending time on data aggregation and clean-up, our team can focus on running strategic campaigns that drive real growth.
Janneta Tabakov,
Enterprise Growth Lead
We've improved our data quality and now have a steady flow of high-quality leads, all without any manual effort. Instead of spending time on data aggregation and clean-up, our team can focus on running strategic campaigns that drive real growth.
Janneta Tabakov,
Enterprise Growth Lead