Sistava

Performance Marketing Intelligence

AI Marketing Team

Audience research, ad-creative benchmarking, and traffic intel that drives paid growth

Your AI performance marketer surfaces the audience signals, creative angles, and channel mix that actually move CAC and ROAS. Reads Meta Ad Library, Google Ads transparency, TikTok Creative Center, and SimilarWeb to map what is working in your category — and what is not.,Audience research goes beyond demographics: pulls intent signals from forums, reviews, and search queries to surface the exact language your buyers use. Ad-creative benchmarks show winning hooks, formats, and durations by channel.,Output is a campaign brief, not a 40-page deck: target audience, top-performing creative angles, recommended channel mix, and the budget allocation that should beat your current baseline.

Benefits

How It Works

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At a Glance

4+
Channels benchmarked per brief
100+
Competitor ads analyzed per audit
Days
Refresh cadence on creative intel
< 48 hrs
Brief turnaround per campaign

Stop Buying Audiences You Cannot Describe

Creative Wins Beat Channel Tweaks

FAQ

Does it work without ad-platform access?

Yes. Uses public-data sources (Meta Ad Library, Google Ads Transparency, TikTok Creative Center, SimilarWeb-class data). When you connect ad accounts, it layers in your own performance data too.

Can it propose creative for new channels?

Yes. When entering a new channel, the brief includes channel-specific creative angles, format recommendations, and a learning-budget plan.

How accurate is the audience intel?

It surfaces qualitative language and quantitative signals separately. Verbatim quotes from reviews and forums are exact; intent-volume estimates carry confidence bands.

Does it replace a media buyer?

No. It replaces the research and brief work. A human still makes the bid, budget, and pacing decisions inside the ad platforms.