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From Ad Clicks to Pipeline – Mining Hidden LinkedIn Engagement Data to Revenue

Overview

A mid-market client was investing heavily in LinkedIn ads targeting C-level decision makers. The targeting was sound, and the engagement metrics were promising — but the form conversion rate was disappointing, leaving the sales team with no clear follow-up path.

Challenges

  • Strong ad engagement but low form fills
  • No visibility into which companies were engaging
  • The sales team had no handoff or actionable data
  • The company’s LinkedIn presence lacked authority and consistency

What we did

We restructured the campaign from the ground up. This included:

  1. Controlled A/B tests

    Running controlled A/B tests across creative and messaging

  2. Tightening targeting

    Tightening targeting criteria to reflect the most relevant ICP subsets

  3. Revamping ad creative

    Revamping the ad creative with high-conversion copy and visual formats

  4. Mining engagement data

    Mining engagement data through LinkedIn campaign analytics and third-party tools

  5. Mining decision maker data

    Cross-referencing ad engagement with firmographic data to build "Top 100" company engagement lists

  6. Direct outreach to engaged decision makers

    Delivering full decision-maker contact information (name, title, email, LinkedIn URL) from engaged accounts directly to the sales team

  7. Cadence-based outreach

    Initiating cadence-based outreach from the sales team to follow up

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Results

  • Form conversions increased by 42% after two rounds of creative and targeting optimization
  • Sales pipeline was enriched with 100+ warm decision-makers from companies that had never submitted a form
  • Several high-value meetings were booked directly from engagement follow-ups
  • Sales and marketing alignment dramatically improved — with data flowing both ways