You are getting clicks from 18-24 year olds. Your customers are 35-44. Your budget is working against you.
Platform audience targeting defaults are not calibrated for your specific business. Google and Meta optimise for 'conversions' — but if your conversion tracking is imprecise, or if the platform's model has not had enough data, you end up with broad targeting that sends traffic from demographics that look engaged but do not buy. Most SMEs discover this problem in a post-campaign audit, not while the campaign is running. Audience Insights surfaces it in real time.
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Retargeted ads increase purchase likelihood by 70% — but only if the initial audience is correctly qualified
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Platform audience suggestions are optimised for platform engagement, not for your specific customer profile
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Mobile clicks are often 3-5x cheaper than desktop clicks but convert at 40-60% lower rates for most e-commerce categories
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Geographic budget concentration in cities with low purchase intent is a consistent pattern in SME campaigns
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Audience Insights cross-references your ad platform demographic data with your actual conversion outcomes so you see which audiences are driving revenue and which are consuming budget without returning it. You can adjust targeting, set demographic exclusions, and shift budget to your proven segments — all informed by your own data, not platform estimates.
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Meta campaign is running broad targeting, 18-55, all genders. ROAS is 2.8x. You think the campaign is working. Audience Insights shows the 25-34 female segment is at 5.1x ROAS while the 18-24 male segment is at 0.9x and consuming 35% of budget.
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You add an exclusion for the 18-24 male segment and increase bid adjustment for 25-34 females. Same budget. ROAS increases to 3.9x in two weeks.
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You are running Google Ads and Meta simultaneously. Both use smart bidding. Both claim good performance. You have no way to compare which platform's audience is actually driving the purchases.
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Audience Insights shows Google's 35-44 desktop segment converts at 6.2x ROAS. Meta's equivalent segment is 2.1x. You shift 30% of Meta budget to Google. Revenue per pound of spend increases.
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Stop funding non-converting demographics
Audience exclusions informed by your actual conversion data, not platform guesses
Cross-platform audience comparison
See which platform reaches your best customers most efficiently
Faster targeting refinement
Real-time demographic data means you catch audience misalignment in days, not months
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