Know who is worth reaching before you pay to reach them
Segment influencer audiences by purchase intent before you spend.
You will recognise at least one of these
- Influencer spend goes out without a targeting model
- You are paying for reach, not intent
- Retargeting pools are undifferentiated
- Nobody can tell you which segment converted
Influencer budgets get wasted on passive followers. Brands enter African markets with large follower counts and no signal on who actually buys, or in which country they are sitting.
What we actually build
We build a follower analytics pipeline that segments audiences by engagement depth, purchase-behaviour proxies, and content affinity. High-intent followers are tagged, entered into personalised outreach sequences with UTM-tracked discount codes, and reported back into Shopify or Meta Ads for retargeting.
The stack
- Clay
- n8n
- Meta Ads API
- Shopify
- Custom Analytics
Every system ships documented and built to run without us. The goal is that you do not need Zuun after 90 days.
What changes
- Conversion rate 4.8% vs 1.2% industry average
- Launch revenue +31% above target in month one
- Audience intelligence reusable across campaigns
Real numbers from real builds are on the case studies. We do not quote figures that did not happen.
Ads & Influencer Intel, answered
How is this different from normal audience targeting?
Most targeting segments by demographics or interests. This segments by observed purchase intent, so you are paying to reach people who behave like buyers rather than people who look like them.
Do we need a big influencer budget for this to work?
No. It works better on a small budget, because the whole point is not wasting spend on the wrong segment. If your budget is large enough that waste does not matter, you do not need this.
What do we get at the end?
Scored audience segments loaded into your ad platform with UTM tracking, so you can see which segment actually converted rather than guessing.
The other four
- Outbound Engine: Full-stack cold outbound: ICP scoring to CRM delivery.
- Content Automation: New content in → LinkedIn, newsletter, and threads out.
- Social Listeners: LinkedIn signal monitoring: catch buying intent in real time.
- Bespoke Systems: Custom multi-system workflows for problems with no off-the-shelf answer.
- AI Implementation: AI agents wired into the systems you already run.
Ready to build this?
We scope it on a call and start building. No decks, no six week discovery phase.