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The social media landscape doesn't stand still — and a strategy that was performing well three months ago may need adjusting today. Algorithms change, audience behaviours shift, new formats emerge, and content that once resonated can gradually lose its effectiveness.
Performance review and optimisation builds in the regular attention that keeps a social media programme performing at its best. Reviewing the data, identifying what's declining and why, testing new approaches, and making the adjustments that ensure your social presence continues to grow and deliver value over time.
Performance review and optimisation for social media is the ongoing process of analysing what is and isn’t working across a business’s social media activity and making strategic and tactical adjustments to improve results. It involves reviewing content performance data, identifying which formats, topics and approaches are generating the best outcomes, testing new ideas, and continuously refining the strategy and execution to keep the social media programme effective as platforms and audiences evolve.
You need this when customers are reaching out to your brand on social platforms and responses are slow, inconsistent or off-brand, when social has become a de facto customer service channel and you haven’t adapted your processes to reflect that, or when the way your brand handles public-facing interactions is damaging rather than building trust. How you respond on social is as much a part of your brand as what you post.
This service includes a review of your current social customer service processes, development of response protocols and escalation workflows, training for team members managing social channels, and setup of monitoring tools. Delivered as a social customer service framework with documentation, training materials and agreed SLAs.
Most marketing companies focus on channels and tactics.
We focus on reaction.
Before selecting platforms, formats, or media spend, we define how your audience thinks, feels, and decides. We use behavioural psychology to understand what will capture attention, build trust, and motivate action — then choose the channels that best support that outcome.
Every channel we use has a clear purpose, a defined role, and a measurable objective. Nothing is done “because it’s popular” or “because it’s expected”.
The result is marketing that feels natural to engage with, works across multiple channels, and is designed to deliver meaningful, long-term results.
Want to see how this approach works in practice?
The ongoing process of analysing social media performance data, identifying patterns in what is and isn’t working, and making targeted adjustments to content strategy, posting frequency, format mix, platform focus or paid budget allocation to continuously improve results.
Monthly reporting documents what happened. Performance review interprets why it happened and decides what to change. Reporting without review produces historical records; review without reporting lacks the data to drive decisions. Both are needed.
Review performance data → identify the highest-impact variable to change (content type, posting time, hashtag strategy, caption approach) → make one specific change → measure the impact → retain if it improves, reverse if it doesn’t → move to the next optimisation. Changing multiple variables simultaneously makes it impossible to identify which change drove the result.
Short-term optimisation addresses week-to-week performance (adjusting posting times, testing caption lengths, refreshing hashtag sets). Long-term optimisation addresses strategic questions (platform mix, content pillar balance, the ratio of organic to paid investment) reviewed quarterly.
A deliberate test of a specific content variable — posting two versions of similar content with different formats, different opening lines or different posting times, and comparing performance to determine which variable has the most impact on the desired metric.
When consistent optimisation over three or more months fails to move key metrics in the right direction, when the target audience has shifted significantly, when a platform’s algorithm has changed fundamentally, or when the business’s commercial objectives have changed.
Direct audience feedback — in comments, DMs and survey responses — provides qualitative context for quantitative performance data. Understanding why audiences engage with some content and not others informs optimisation more precisely than data alone.
By requiring a minimum sample size before drawing conclusions. A single post’s performance is not statistically meaningful. A pattern observed across ten or more posts of the same type provides a more reliable basis for an optimisation decision.
Posting time. Many businesses post at times convenient for the content team rather than when their audience is most active. Shifting content to peak audience activity windows often improves reach and engagement without any change to content quality.
Tactical optimisations (posting times, caption length, hashtag sets) can be managed by the content team. Strategic optimisation decisions (platform mix, content pillar balance, budget allocation) require senior marketing oversight to ensure they remain aligned with commercial objectives.