Installs arrive, but Google Ads sees the wrong event.
Tracking and conversion mapping need to follow the user from the ad click to the meaningful in-app action.
I work across Google Ads, AppsFlyer attribution, recurring performance reporting and practical automation. My focus is the space between a campaign click and a decision the team can trust.

A campaign can generate clicks and installs while the team still cannot answer what to change next. That is the gap I learn to close.
Tracking and conversion mapping need to follow the user from the ad click to the meaningful in-app action.
Recurring reporting should preserve source truth, surface CPA and ROAS, and make comparison easier.
When a workflow is repetitive, a safe assistant can prepare the next action while keeping human approval in control.
A project-based profile built around real workflows, measurable inputs and clear handoffs. Commercial names are intentionally kept private.
I do not present a list of disconnected tools. I show the kind of work I can take from an unclear problem to a usable system.
Prepared Google Ads Search setups, tracking parameters, conversion mapping and test plans for an iOS utility product.
Built weekly and monthly reporting workflows with Cost, CPA, D4 ROAS, geographic comparison and quality checks.
Designed an AI-assisted support workflow that prepares replies, applies approved rules and keeps a human approval boundary before sending.
My projects follow the same working rhythm: understand the failure, connect the data, then make the result usable for the team.
Check the campaign goal, event source, attribution path, report fields and data limitations before recommending a change.
Configure tracking parameters, OneLink or conversion mapping so the right signal can travel through the system.
Deliver a campaign draft, a repeatable report, a QA checklist or a safe workflow that another person can use.
The first case shows a tracking-heavy Google Ads setup. The next cases show the data, reporting and automation habits that support media buying. Open any card to see the problem, approach and evidence.
The campaign needed to send iOS Search traffic to the App Store while preserving click IDs and returning a trial-active signal to Google Ads.
Separated attribution issues from conversion-goal issues and documented which data could be trusted.
Standardized weekly and monthly reports with Cost, CPA, D4 ROAS, geographic comparison and quality checks.
Designed a Gmail workflow that prepares replies, uses approved templates, flags risks and keeps human approval before sending.
These are project signals, not inflated performance claims. Each number says what was analyzed, prepared or delivered.
A practical junior profile: structured enough to work with data, curious enough to find the cause, and careful enough to label what is still being validated.
Search themes, keyword structure, ad copy, markets, budgets and target CPA drafts.
AppsFlyer, OneLink, click IDs, event mapping and Google Ads conversion signals.
Weekly and monthly reports built around Cost, CPA, D4 ROAS and comparison.
Source checks, campaign and asset analysis, limitations and QA before conclusions.
Repeatable processes that reduce manual work without hiding the approval boundary.
Translate an operational pain point into a tested workflow that a team can actually use.
I am looking for a junior PPC, performance marketing or marketing automation role where I can contribute to campaign setup, tracking, reporting and structured problem solving.
Contact Eduard ↗