GrowthLab's AI Search Upgrade Drove 22% Revenue Increase in 60 Days

Results at a glance

The Challenge

GrowthLab's platform had a library of 8,000+ marketing templates, tools, and courses. Users frequently couldn't find what they needed with keyword search — 34% of searches returned zero relevant results, and 'search and leave without finding' was their #1 churn driver in exit surveys.

Our Solution

We replaced GrowthLab's keyword search with a semantic vector search engine that understands intent and context. A user searching 'I need to grow my email list for a B2B SaaS' now gets curated, relevant results — not a list of documents containing those keywords.

How We Built It

1. 1

   Embedded all 8,000+ content pieces using OpenAI text-embedding-3-large

2. 2

   Built a vector search layer on Pinecone with hybrid dense + sparse retrieval

3. 3

   Implemented personalization layer based on user's subscription tier and past behavior

4. 4

   Added AI-powered autocomplete suggesting full search intents, not just words

5. 5

   Built search analytics to track zero-result queries and conversion by search term

6. 6

   A/B tested against legacy keyword search for 3 weeks before full cutover