Case Study — Confidential Client

A year of LinkedIn data. One clear strategy.

A global tech recruitment firm was posting consistently but couldn't tell what was working. We analysed a full year of LinkedIn activity and turned the data into a clear content strategy.

Content Strategy LinkedIn Analytics Data Analysis Campaign Design Tech Recruitment Confidential Client
LinkedIn interaction analysis dashboard
12
Months of data
analysed
Full year of LinkedIn post performance
3
Content pillars
identified
Top-performing categories by engagement
1
Clear strategy
delivered
Actionable recommendations, ready to implement
The challenge

Posting consistently.
But not strategically.

The client — a global tech recruitment firm — had an active LinkedIn presence but no clear picture of what was actually working. Posts went out regularly, some performed well, most didn't. Without understanding why, the team was producing content without direction.

The problem wasn't output. It was insight. Nobody had ever analysed the data to find the patterns — which post types drove engagement, which audiences responded to which content, and which high-profile interactions were being missed as amplification opportunities.

The brief: audit a full year of LinkedIn activity and deliver a clear, actionable content strategy based on what the data actually showed.

The key principle

"Most businesses make content decisions based on instinct. We made them based on evidence. Twelve months of data told us exactly what the audience responded to — and what was being wasted."

01
Inconsistent engagement with no explanation

Some posts performed significantly better than others, but without analysis nobody understood why. The team was guessing at what to prioritise rather than knowing.

02
No content framework

Content was produced ad hoc with no strategic backbone. Without clear pillars or a posting framework, there was no way to build momentum or compound results over time.

03
Missed amplification opportunities

High-profile interactions — comments and shares from influential accounts — were not being identified or leveraged for greater reach. Opportunities were appearing in the data and being ignored.

The approach

Data first.
Strategy second.

We built a structured analysis framework around the full year of post data — categorising posts from lowest to highest interactions to identify patterns not visible post-by-post but clear across the full dataset.

Quantitative methods identified which content categories drove the most engagement. Qualitative assessment then unpacked why — analysing message clarity, visual appeal, authenticity and content type for every high-performing post.

Delivered as a strategy document the team could implement immediately, with clear rationale for every recommendation.

Full-year data audit

Every post analysed across engagement rate, content type, timing, format and audience response. Patterns identified that weren't visible post-by-post but became clear across the full dataset.

Content pillar identification

Three top-performing content categories identified from the data. Each pillar defined with clear characteristics — what format, what tone, what subject matter drove the strongest engagement.

Influencer amplification mapping

High-profile interactions identified and flagged. A specific process recommended for responding to and leveraging these interactions to extend organic reach.

Actionable strategy document

All findings delivered in a clear strategy document — not a data dump, but specific recommendations with the evidence behind each one. Built to be used, not filed away.

What the data
actually showed.

Twelve months of LinkedIn post data, analysed and distilled into three findings that changed how the team approached content.

1
Consistent top-performer

One content category consistently outperformed all others. Identifying it — and understanding why — became the foundation of the recommended content strategy.

12
Missed amplification moments

C-suite and industry thought leader interactions identified in the data that were never acted on. Each one represented a missed opportunity to extend reach to a larger, relevant audience.

Analysis conducted by Ottilie Wood, Senior Content Strategist at POW Marketing. Client identity withheld by request. Data screenshots show analytical outputs only — no company name, branding or individual identities are visible.
The outcome

From guesswork
to a clear framework.

"The value wasn't in the data itself — it was in knowing what to do with it. A year of activity, analysed and turned into three clear content pillars and a strategy the team could follow from day one."

The client went from posting without direction to having a evidence-based content framework — clear pillars, specific format recommendations, and a process for capitalising on high-value interactions as they happen.

This kind of strategic analysis is at the heart of what POW does. Not just producing content — understanding what makes it work, and building the framework around it.

The client's identity is kept confidential at their request.

Your content not converting?
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We look at what you're producing, what your audience responds to, and where the gap is between the two. Then we give you a framework to fix it — fast.

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