Budget: 12000 UAH Deadline: 15 days
1. Understanding the task
The goal is not just to compile a list of companies, but to build a working sales pipeline for 6 months:
prioritized niches → reasoned selection of companies → ready contacts of decision-makers → recommended offer and approach for the first touch.
The final result should immediately be entered into the CRM and used by the sales team, rather than being a "reference report on the shelf."
This is how I build the work on the project.
2. Approach and methodology
Step 1. Formulating hypotheses about niches (2–3 days)
I create a long list of niches where:
there is a high frequency of new ad launches, a short creative lifespan (quick "burnout" of creatives), active scaling of UA (user acquisition), several geo/product lines.
I check each niche through the Meta Ads Library, TikTok Creative Center, Google Ads Transparency Center — I look at the actual number of active ads and their rotation speed, rather than estimating "by eye."
I categorize niches into high / medium / test priority based on criteria:
advertising volume, solvency (availability of investments/rounds), compliance with the agency's current portfolio.
Step 2. Niche profile
For each niche, I document:
the main advertising platforms, the need for vertical video / UGC / motion / AI creatives, the estimated frequency of ad updates, the intensity of testing hooks and offers.
Step 3. Searching and qualifying companies
Sources:
Meta Ads Library, TikTok Creative Center, Google Ads Transparency Center, App Store / Google Play (for mobile products — tracking updates and rating growth), LinkedIn, job postings (signal of UA team growth), investment databases (Crunchbase, PitchBook-like sources), industry reports.
For each company, I document facts of advertising activity (not assumptions):
the number of active ads, geographies, platforms, approximate update frequency — this is the argumentation for "why they need a large volume of creatives."
I find decision-makers (Head of Growth / UA / Performance Marketing / CMO) through LinkedIn, linking to their profile.
Step 4. Prioritization and offer
I create a table of 150–300 companies with a complete set of fields from the brief (website, country, niche, platforms, evidence of activity, potential workload, priority, decision-maker + LinkedIn).
I highlight 30–50 companies in the first wave — based on the criterion of "best ratio of advertising volume to likelihood of response."
For the first wave — a personalized offer for each niche cluster (not a universal pitch).
Step 5. Report and testing plan
A brief analytical report with a ranking of niches and justification.