BDRs Were Spending 2 Hours a Day on Manual Qualification
65,000 accounts scored
Who
B2B software company. BDR team running a manual account qualification process every morning. No data provider could replicate it.
Problem
Reps were spending 2 hours a day manually qualifying accounts before they could start dialing. The qualification criteria were unique to their business and couldn't be bought off the shelf from any enrichment vendor.
What we built
Codified their manual qualification process into an AI workflow and ran it at scale. 50,000 accounts scored inside their CRM, plus 15,000 whitespace accounts outside their existing database.
Result
Rebuilt territories around the top 5,000 target accounts, prioritized by the unique fit characteristics that were already working when reps did it manually.
First Outbound Pipeline in Company History
First consistent outbound pipeline
Who
Life sciences manufacturing software. 2 BDRs. Had tried outbound and market mapping with other firms. Nothing stuck.
Problem
Their buyer profile was too niche for off-the-shelf targeting. Previous agencies had mapped their market using standard firmographic data and generic outbound playbooks.
What we built
Mapped their full target market, then scraped 7 custom in-market signals specific to their space: companies with compliance violations, factory expansions, regulatory changes. Signals that meant a company was actively dealing with the exact problem this product solves.
Result
Their team started producing outbound pipeline for the first time. They were able to hire more BDRs and produce consistent pipeline.
Hundreds of Sequences, No Unified Messaging
Systematic reply rate improvement
Who
Enterprise learning platform. Large BDR org with hundreds of reps running sequences across multiple verticals and personas.
Problem
Product marketing had positioning for each vertical and persona, but it wasn't translating into what reps actually wrote in emails. Messaging was fragmented. Reply rates were inconsistent.
What we built
Condensed product marketing positioning across multiple verticals and personas into 3+ core use cases. Deployed AI-powered email writing that blended scraped prospect signals with use case positioning.
Result
Reply rates improved across the board. Reps stopped writing from scratch and started writing from a system that combined personalization with positioning.
Zero to 20 Meetings in Month One
20 meetings in launch month
Who
Data platform with a unique ICP. Had never been able to make outbound work. Over 70% of accounts from traditional data providers were unqualified.
Problem
Their positioning was too niche for standard data vendors. Every list they bought was mostly garbage. Reps would dial 100 accounts and find 70+ were a complete mismatch.
What we built
Identified 7 cross-industry use cases and 2+ key job functions that showed actual fit. Mapped their market from scratch. Implemented a dialer with phone intent data. Condensed fit signals into an account summary visible inside the dialer.
Result
First month, 2 AEs + 1 BD lead booked 20 meetings. No prior outbound success. Reps finally knew WHY they were calling each account and could say it in the first 15 seconds.