Head of the company
Good day! My name is Maksim, I am the head of the company PROMTIS. Write to me for a consultation!
19:7
Head of the company
Good day! My name is Maksim, I am the head of the company PROMTIS. Write to me for a consultation!
19:7
Advertising
Who we help and what problem we solve For businesses that want to scale with paid social but are unsure who to target and how. Problem: money wasted on the wrong audience → high CPL, low quality leads. What exactly do we do - Analyse your product/service: profitability, priority offerings, margins. - Define audience segments per market/country: geo, language, interests, behaviour, life stage, job roles (for B2B). - Review historic campaigns (if any): what drove results, where spend was wasted. - Build clear personas and segments to test. Results and Metrics - Clear view of who we’re targeting and why. - Metrics: * estimated audience sizes per platform and country/region; * expected CTR and CPC benchmarks; * initial CPL estimates per segment. Methodology - Combine client insights, CRM data and existing analytics. - Analyse competitor ads (Meta Ads Library, TikTok Creative Center, etc.). - Prioritise 3–5 core segments per market for launch.
Who we help and what problem we solve
For companies afraid of “burning budget” because there is no clear expectation on leads and costs.
Problem: no planning, no predictable outcomes.
What exactly do we do
- Create a media plan by platform, format and country: budgets, periods, key messages.
- Forecast reach, clicks, CTR, leads and indicative CPL/CPA by scenario.
- Set target thresholds: acceptable CPL/CPA, minimum performance per campaign.
Results and Metrics
- A clear spending and performance roadmap for 1–3 months.
- Metrics:
* planned budget allocation;
* expected range of clicks and leads;
* CPL/CPA ranges for conservative/realistic/optimistic cases.
Methodology
- Use benchmarks from similar industries and prior data where available.
- Build 3 scenarios (conservative/realistic/optimistic) to manage expectations.
- Define control checkpoints (e.g. day 7 and day 14) to validate or adjust assumptions.
Who we help and what problem we solve
For companies who don’t want to deal with complex ad managers and risk technical mistakes.
Problem: misconfigured campaigns, lost tracking, distorted data.
What exactly do we do
- Structure campaigns by objective (traffic, leads, conversions) and country/region.
- Set up ad sets/ad groups by audience segments and placements.
- Implement tracking: pixels, conversion events, consent-based tracking in line with GDPR; UTM tags for GA4.
- Launch test phase campaigns with controlled budgets for each hypothesis.
Results and Metrics
- Technically correct, trackable campaigns from day one.
- Metrics:
* impressions, clicks, CTR;
* first leads/enquiries from paid social;
* validated event tracking in analytics/CRM.
Methodology
- Follow best practices per platform (Meta, LinkedIn, TikTok, etc.).
- Run an initial “learning phase” with smaller budgets to validate creatives and audiences.
- Verify data consistency between ad platforms and GA4/CRM.
Who we help and what problem we solve
For companies whose ads get scrolled past, with low CTR and expensive clicks/leads.
Problem: weak creative that doesn’t break through the noise.
What exactly do we do
- Develop multiple creative variations per key offer:
* different hooks, angles, visuals, CTAs;
* a mix of static, video, carousel, UGC-style where relevant.
- Write concise, benefit-focused ad copy aligned with local language and cultural nuances.
- Set up A/B tests: 2–5 creative variations per audience, per country if needed.
Results and Metrics
- Identification of high-performing “audience + offer + creative” combinations.
- Metrics:
* CTR and scroll-stop rates;
* CPC and CPM;
* CPL/CPA per creative;
* post-click behaviour (bounce, time on site, conversion rate).
Methodology
- Start from problem/benefit-driven hypotheses specific to the European market and segment.
- Test both rational (ROI, features, efficiency) and emotional (relief, status, convenience) angles.
- Iterate every 1–2 weeks depending on spend and statistical significance.
Who we help and what problem we solve
For businesses that need paid social to be a predictable, optimised acquisition channel – not just “running some ads”.
Problem: campaigns are launched once and then left to run without real optimisation.
What exactly do we do
- Weekly performance reviews at campaign/ad set/ad level.
- Shift budget toward best-performing combinations; pause underperformers.
- Refresh creatives regularly to avoid fatigue.
- Produce clear performance reports with recommendations.
Results and Metrics
- Reduced cost per lead and more stable lead flow within the same budget.
- Metrics:
* weekly/monthly CPL, CPA;
* number of qualified leads;
* if CRM is connected – revenue and ROAS/ROMI by campaign.
Methodology
- Combine ad platform data with GA4 and CRM (where possible).
- Compare actual performance against media plan forecasts.
- Follow a test–measure–scale cycle with agreed decision rules (e.g. pause if CPL > X for N days).