Case Study 12 / LinkedIn Content

27× organic reach on X by replying instead of posting

A small brand account on X was earning almost nothing: 408 organic impressions in February 2023. By engaging the biggest cricket accounts with replies that added something, rather than posting into the void, it reached 281,500 impressions in May 2023 (9,100 a day), and about 27× more reach in Q2 than in Q1.

Client
Fantasy sports app
Industry
Consumer fantasy sports (B2C)
Service
LinkedIn Content + GTM Strategy
Timeline
January – June 2023

Earlier work: led by Clarafold's founder at a fantasy sports app, before founding Clarafold. The company's name is withheld; figures come from the platform's own analytics, and claims that could not be verified are left out.

organic impressions, Q2 vs Q1 2023
27×
impressions in May 2023
281.5K
impressions per day at the peak
9.1K
impressions in Feb 2023, the starting point
408

01 · Client

Fantasy sports app

Consumer fantasy-sports app where cricket fans trade 'stocks' of players, competing for attention around the IPL. Name withheld.

The challenge

Below roughly 10,000 followers, an account's own posts barely travel. The app had a product built for cricket fans but almost no presence where cricket conversation happens in real time: Q1 2023 earned about 16.8K impressions in total.

02 · System

What existed before.

  • Brand posts reaching a few hundred people a day
  • No relationships with the journalists, teams and creators who shape cricket conversation
  • IPL 2023, the year's biggest attention window, about to open

03 · Intervention

What was built and run.

01

Changed the unit of distribution

Replies under large accounts travel much further than a small account's own posts, so the strategy moved from posting to replying.

02

Built a target list

Cricket journalists, teams, players and news outlets with large, engaged audiences.

03

Replied with substance

Extra context, data points and questions that started threads. Never product pitches.

04

Turned interactions into relationships

When a large account engaged back, a direct message followed to build the relationship beyond the thread.

Tools used: X (Twitter)X Analytics

04 · Outcome

What changed.

Organic impressions by month, from X analytics: Jan 7.8K · Feb 408 · Mar 8.6K · Apr 114.9K · May 281.5K · Jun 63.2K.

Q1 ≈ 16.8K → Q2 ≈ 459.6K, roughly 27×. The May peak coincided with IPL 2023; June fell back to 63.2K as the season ended, which is reported here rather than hidden.

05 · Lessons

What we would tell you.

  • Distribution is a design choice. Go where attention already gathers and add something to it. The B2B version is founder-led LinkedIn: see case study 10.
  • Timing multiplies a system; it does not replace one. The IPL raised the ceiling. The reply system is what let a small account reach it.
  • Report the drop. The June fall-off is part of the story and shows what has to be sustained.

Put It To Work

ServiceLinkedIn ContentServiceGTM Strategy

More Case Studies

Related work.

All case studies

Similar Situation?

Facing a similar problem?

Tell us what's happening. We'll tell you whether a system like this fits your market, and what we'd change for it.

Full enquiry form
Discuss a similar build