Ad setup built for results
Targeted advertising setup in Meta, Google, and TikTok built around a specific business goal — leads, sales, or payback (ROAS), not just impressions.
What's included
- Platform selection based on your goal and audience (Meta, Google, TikTok — each with its own job).
- Strategy and account structure: campaigns, ad sets, ads — so the algorithm can find buyers more easily.
- Setup built around your goal: leads, sales, or payback (ROAS). Algorithms optimize for exactly what you set.
- Launch, getting through ad review, and management through the algorithm's learning phase.
Why your business needs this
Algorithms optimize ads for the goal you give them. If the goal and structure are wrong, your budget goes to a random audience — that's where the feeling that "targeted ads don't work" comes from. The right strategy and a clean account structure make results cheaper and more predictable.
What you get
- Campaigns launched around your specific goal.
- Platforms matched to the task and budget.
- An account structure ready to scale.
- Cost-per-result control from day one.
How long it takes
The technical launch takes a few business days. Then comes Meta's ad review (usually up to 24 hours, sometimes longer) and the algorithm's learning phase: to reach stable performance, the ads need about 50 conversions in 7 days. The first meaningful conclusions come in 1–2 weeks, not on day one.
Frequently asked questions
Which platform should I choose — Meta, Google, or TikTok?
It depends on demand. Google works for people who are already searching for you; Meta and TikTok create demand and reach new audiences. A combination often works best. At the start, we pick the channel based on your goal and budget.
Why does the cost per lead jump around in the first days?
That's the learning phase: the algorithm is testing audiences and placements. Until it collects about 50 conversions in 7 days, the cost fluctuates. It's a normal stage, not a breakdown.
How much budget do I need to start?
It depends on the niche and competition. Technically you can start small, but for the algorithm to learn and deliver meaningful results, the budget needs to generate enough conversions. We pin down the exact figure during the audit.
Example
An online store had spent months burning budget on an objective that didn't match its actual goal. After the account was restructured around the "sales" objective, the very same ads started bringing in orders at a predictable cost — without increasing the budget.