AI, ML & Data · Case study

Putting a face on a data company through founder-led LinkedIn

A founder voice programme and employee advocacy that turned LinkedIn into an inbound channel.

Illustrative scenario, targets not results
Client profile
Data engineering and analytics consultancy, 80 employees, founder-led
Region
India and the UK
Timeline
6-month programme
Services
Target 4x Profile views from target roles
Target 12 Target inbound conversations per month
Target 30% Target employee participation
The challenge

Where they started

Data leaders buy from people they trust, and the consultancy’s founders were exactly the experts a prospect would want to hear from. They simply were not visible, and the company page alone had little reach.

The founders were busy, wary of sounding promotional, and doubtful that LinkedIn could be a source of real business.

Our approach

What we did

  1. 01

    Find the point of view

    Held interviews with the founders to capture opinions, war stories and contrarian views on data strategy that clients would find genuinely useful.

  2. 02

    Ghost-write with authenticity

    Wrote posts in each founder’s own voice from a 30-minute weekly call, mixing practical lessons, client-safe stories and clear takes on industry news.

  3. 03

    Activate the team

    Coached engineers and consultants to share their work, and provided simple templates and recognition so participation stayed voluntary and genuine.

  4. 04

    Convert attention to conversations

    Set up a thoughtful follow-up process for comments and messages, with a clear path to a short, no-pressure discovery chat.

Goals of the programme

What success looks like

  • Founders recognised as credible voices in data and analytics
  • A steady flow of inbound conversations from relevant roles
  • An engaged team that amplifies the company’s expertise
  • A reusable content bank that sales can send to prospects
How we measure it

Numbers you can check

  • Profile views and followers filtered to target job titles using LinkedIn analytics
  • Inbound conversations logged in the CRM only when the contact fits the ideal customer profile
  • Reach and engagement reviewed monthly, with pipeline reviewed quarterly given the longer sales cycle
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