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The audience you started targeting when you launched your campaigns may not be the audience delivering your best results today. Markets evolve, customer profiles shift, and as campaigns mature, the data reveals patterns that weren't visible at the start.
Audience refinement uses that data to sharpen your targeting over time. It analyses performance by segment, identifies where your budget is being wasted on low-converting audiences, and redirects spend towards the people most likely to take the action you're paying for.
Audience refinement is the process of analysing the performance of different audience segments within a paid advertising campaign and adjusting targeting to improve efficiency. It involves reviewing which audiences are delivering the best results, reducing spend on underperforming segments, expanding into new audience types based on performance data, and continuously improving the match between the campaign’s targeting and the people most likely to convert.
You need this when you want to understand how your paid search activity compares to what your competitors are doing, when your CPCs are rising and you want to understand who is bidding against you and why, or when you’re about to launch a new paid campaign and want to understand the landscape before you commit budget. Competitor analysis in PPC helps you avoid expensive mistakes and find the gaps where your budget will work harder.
This service includes an analysis of competitor paid search activity — covering keywords, ad copy, landing pages and estimated spend — delivered as a competitive intelligence report with strategic implications and recommendations for your own paid search approach.
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 how different audience segments are performing within your campaigns and making adjustments — tightening, expanding, excluding or re-prioritising audiences — to improve the quality and efficiency of the traffic your campaigns generate.
High impressions and click-through rates with low conversion rates suggest the audience is engaging but not converting. Low CTR may indicate poor ad-audience alignment. High cost-per-acquisition relative to benchmark suggests the audience is too broad or includes low-intent segments.
Yes. In Google Ads, audience performance data is available in the Audiences tab. In Meta Ads, audience breakdown by age, gender, placement and other dimensions is available in the campaign insights. This data informs which segments to prioritise or exclude.
Audience layering applies multiple audience criteria simultaneously — for example, targeting in-market audiences on top of a keyword campaign to bid more aggressively for searchers who are both searching for your product and actively in the market for your category.
By comparing its conversion rate and CPA against other audience types in the same campaign, and against the source audience it was built from. A lookalike audience that costs significantly more per conversion than the custom audience it was modelled on may need a smaller lookalike percentage.
Expand when a campaign is hitting budget limits, reaching saturation within the current audience or when conversion volumes are insufficient for automated bidding to optimise. Narrow when cost-per-acquisition is too high, conversion rates are low or the data shows specific segments consistently underperforming.
A combined audience in Google Ads allows you to include or exclude multiple audience types in a single targeting rule — for example, targeting people who are both in-market for your category AND have previously visited your website. It enables more precise audience definition.
By uploading customer email lists as custom audiences to Meta and Google, which can then be used for retargeting, for exclusion from acquisition campaigns, and as the seed audience for lookalike modelling. CRM data is typically the highest-quality audience input available.
Not usually. Audience refinement works within the existing campaign structure. Major structural changes — creating new campaigns for new audience segments, separating retargeting from prospecting — are distinct decisions from within-campaign audience adjustments.
Monthly as part of the standard performance review cycle, with more immediate action if data indicates a specific audience is performing significantly better or worse than expected. Audience behaviour changes over time and targeting should evolve accordingly.