Where the Strategy, Assets, and Content Get Put to Work.
Paid media, conversion optimization, and continuous testing: the step where everything built so far starts generating measurable return.
Paid Media Strategy & Management
Category Entry Point
“When your ROI is bleeding.”
Full paid media strategy and hands-on management across Google, Meta, TikTok, Snapchat, and LinkedIn, built and run as one coordinated system, not isolated platform bets.
- Channel strategy fit to your specific funnel
- Campaign structure built for scalable, clean attribution
- Always-on management, not set-and-forget
- Cross-channel budget coordination
Proof: The same always-on structure that let Joviality scale spend +103% while ROAS improved +5.7%, growth without paying more per result.
Digital Media Buying & Optimization
Category Entry Point
“When you're spending more but not getting more.”
Hands-on, day-to-day media buying and optimization: bid strategy, audience refinement, and budget reallocation based on live performance, not a launch-and-leave setup.
- Bid strategy management matched to objectives
- Continuous audience refinement based on real conversion
- Real-time budget reallocation toward what's working
- Creative rotation ahead of fatigue
Proof: The same buying discipline behind Joviality’s 12-stage Google restructure: conversion volume grew 4.7x while cost-per-conversion held flat.
Conversion & Funnel Optimization
Category Entry Point
“When traffic isn't turning into customers.”
Systematic optimization of your funnel (landing pages, checkout, forms) closing the gap between a click and a completed action with evidence, not guesswork.
- Behavioral analysis: heatmaps, session recordings, analytics
- Hypothesis-driven testing, not a redesign for its own sake
- Structured A/B and multivariate testing
- Iterative rollout of proven winners
Proof: The exact discipline behind Everher’s +272% peak conversion uplift: data-driven optimization, not a guess at what ‘looks better.’
App Growth & User Acquisition
Category Entry Point
“When app installs aren't turning into active users.”
Full-funnel app growth strategy (acquisition, activation, retention) built to grow users who actually stay, not just install counts.
- Paid acquisition where your real audience actually is
- Activation funnel design so new users reach core value fast
- Retention-focused targeting, not install-count optimization
- Full post-install event tracking and attribution
Proof: The same full-funnel discipline behind Fawry’s 6M+ installs and 1M monthly active users, mass adoption where every install had to be real.
App Store Optimization (ASO)
Category Entry Point
“When your app isn't found organically.”
App Store and Google Play optimization (metadata, screenshots, review strategy) built to capture organic install intent so paid acquisition isn't doing all the work.
- Keyword and metadata optimization matched to search behavior
- A/B tested screenshots and preview videos
- Review velocity and rating management
- Continuous iteration as algorithms and listings shift
Proof: Part of the same system behind Fawry’s 100,000 organic installs generated through ASO alone, discovery with no paid click required.
Continuous Testing & Optimization
Category Entry Point
“When you've scaled spend before and just burned more budget faster.”
An ongoing testing discipline across creative, audience, and offer, so every scaling decision is backed by evidence. Scaling on assumption burns budget; scaling on validated winners compounds it.
- Every growth lever isolated and tested individually
- Statistical validation before a result is trusted
- Budget follows only what testing has proven
- Testing never fully stops as conditions shift
Proof: The exact discipline that let Merova hold ground through its most competitive season: every lever tested before a unit of budget scaled.
Performance Analytics & Tracking / Attribution
Category Entry Point
“When you can't tell what's actually driving results.”
Tracking infrastructure setup and ongoing attribution reporting: the foundation every other service on this page depends on to prove what's actually working. Inaccurate data doesn't just distort reporting; it puts every scaling decision at risk.
- Pixel and conversion event setup done correctly the first time
- Attribution modeling beyond a last-click default
- Live dashboard configuration, not a static monthly PDF
- Ongoing accuracy audits to catch tracking drift early
Proof: This is the exact issue that inflated Merova’s conversion numbers for months, a structural tracking gap masking efficiency until a full rebuild restored it.