Gökhan Ağarer CV

Gökhan Ağarer · Growth Marketing Manager · Berlin

I find the lever in your customer data, and run the plan that moves it.

See the workLet’s talk
  1. Every growth plan I write starts with one real customer, not a channel report.
  2. Buying first orders is easy. I find out which of these customers were worth buying.
  3. I follow each month’s new customers forward, so you see what every month of spend actually bought.
  4. This is where most budgets leak: most customers never come back. I find the moment that decides it. Here, it is the first month.
  5. Then I turn it into a plan the team can run, built around that moment:
  6. 1Acquisition. Rank channels by the customers they retain, not by CAC alone.
  7. 2Lifecycle. Time onboarding and activation messages to when retained customers actually return.
  8. 3Budget. Move spend to the segments with the highest retained margin, not the most sign ups.
  9. 4Proof. Hold out part of the audience, sized to show the lift is real.
  10. I have run this at a B2B payments company and a D2C brand, for leads, sales and retention. The work below shows how.
Gökhan Ağarer
Gökhan AğarerGrowth Marketing ManagerBerlin · open to work

About

I own the strategy and build what it runs on.

I start with one question: where is growth leaking, and why. The answer is usually in data the business already has: orders by product, drop off between funnel stages, who comes back and who does not. I read it myself, in SQL and Python, before anyone briefs a campaign.

Then I pick one lever, build the plan around it and leave the rest for later. I run the channels, the CRM journeys and the reporting myself, so the person reading the data is the one moving the budget. Before money moves, the team agrees on how we will know it worked.

I work closely with Sales, Finance and leadership, and I explain the numbers until the person deciding can act on them. When the work needs a tool that does not exist, I build it: a margin model Finance runs on its own, a customer insight platform that briefs leadership every morning.

I am in Berlin, looking for a role where I own growth for one product: the targets, the budget, the measurement and the testing roadmap. Read the full story

  • 4+ yearsGrowth, performance and CRM across B2B fintech, D2C ecommerce and SaaS
  • English C2Turkish native, German A2 (Integrationskurs in progress)
  • Work authorisationFull unrestricted work authorisation in Germany, no visa sponsorship required.
Let’s talkDownload the CV
  • PayTR€2.5M+annual marketing budget managed
  • PayTR32% → 44%offer to active merchant conversion
  • PayTR14%lower blended CAC
  • Sosyopix7.5% → 16.5%product share of store revenue, #1 by orders by August 2024

Expertise

What I bring to a growth team.

Strategy, channels, data and build usually sit with different people. The leverage is in connecting them.

  1. 01

    Performance and acquisition

    • Paid search and social: Google Ads, Meta Ads, LinkedIn Ads
    • Budget planning, forecasting and pacing
    • B2B lead generation: target account lists with Apollo and ZoomInfo
    Spend follows incrementalityBudget moves to the channel that adds customers, not the one that claims them.
  2. 02

    CRM and lifecycle

    • Segmentation: profit weighted RFM(T), cohorts, CLTV
    • CRM and CDP journeys: Insider, Dengage, Braze, HubSpot
    • Email, push and SMS built on SQL segments
    Value, not volumeRetention effort goes to the customers who create the margin.
  3. 03

    Analytics and BI

    • SQL and Python on BigQuery (Google Cloud)
    • Semantic models in Power BI and DAX
    • Dashboards in Looker and Power BI
    Decisions, not dashboardsEvery model answers one recurring decision, and the team runs it without me.
  4. 04

    Measurement and tracking

    • GA4 server side tracking, GTM, data layer
    • GDPR consent management
    • Pipelines: platform APIs into BigQuery; dbt and Airflow in progress
    Trust before scaleNo budget increase on a number nobody can verify.
  5. 05

    AI and automation

    • AI agents and LLM pipelines: CrewAI, Gemini
    • Workflow automation: n8n, APIs, webhooks
    • An AI agent on the Google Ads API
    Built to run dailyProduction systems, not prototypes.
  6. 06

    Content, SEO and conversion

    • Landing pages, content hubs and technical SEO
    • Ad creative in Figma
    • A/B testing and CRO
    Write for the queryPages built on what people actually search rank, convert and cut paid search cost.

Selected work

Behaviour I found, and what it moved.

Seven problems, each solved the same way: find the behaviour, make the call, prove it.

01Sosyopix · D2C ecommerce · 2023 to 2024

The next best seller was already in the catalogue.

Attention went to the hero products. The SKU data, mined in SQL and Python, said the classic photo print was short of attention, not of demand. I moved campaigns and budget behind it and measured the lift against a control product.

What I would do differently. The lift was measured against one control product, not a randomised holdout. Next time I would randomise from the start.

7.5% → 16.5%
of store revenue, August 2023 to August 2024
+145%
orders year over year, vs +14% for the store
71%
lift over a control product (p < 0.01)
Classic print, share of store revenue
Endpoints from the data, path illustrative. #1 by orders in August 2024, ahead of the product that had led every month since I joined.

02PayTR · B2B fintech · 2024 to 2026

The bottleneck was activation, not lead volume.

Buying more leads was the default answer. The data put the leak after the offer: too many merchants never went live. I made activation the primary KPI, rebuilt the lead to merchant funnel with Sales, and brought CAC down by converting what we had already paid for.

32% → 44%
offer to active merchant conversion, Q4 2024 vs Q4 2025
14%
lower blended CAC, Q1 to Q4 2025
+40%
leads year over year, conversion to new merchant held at 28%
Offer to active merchant
Offers+8%
Active merchants+49%
Offer to active32%44%
Bar lengths to scale, Q4 2024 as the base. New active merchants grew 49% on only 8% more offers.

03PayTR · CRM and lifecycle

Merchants segmented by the margin they create, not by volume alone.

Volume based segments reward the merchants who process the most, not the ones who earn the most. I built a profit weighted RFM(T) model in DAX that scores every merchant from strategic to dormant, then tied budget and Dengage lifecycle journeys to each tier. Retention effort followed margin.

The full guide, with a free SQL template
Recency × frequency
Illustrative map. Switch the margin weight off to see where volume alone would put the effort.

05PayTR · Voice of Customer, built solo

What customers say in public, in support tickets and in NPS, in one place.

It began as a one off customer insight analysis that landed well enough to be asked for every day. I built it solo: a platform that has analysed 50K+ posts on PayTR and nine competitors, classifies sentiment, emotion and themes, writes the digests, and became the complaint management tool once tickets and NPS joined it.

50K+
posts analysed
9
competitors
14
themes, plus new ones generated automatically
44
DAX measures
Read the case study

Executive summary

Social posts, support tickets and NPS over the last 30 days.

AI insight · last 30 days

Settlement delays drive most of this month’s negative posts, while onboarding praise keeps rising.

CriticalSettlement timingHighCheckout declinesMediumPricing changes
Total mentions48,210+12%
Positive share41%+3 pp
Negative share27%+2 pp
Open complaints312-8%
Sentiment trendPositiveNegativeNeutral

Social listening

Public posts on your brand and 9 competitors, classified as they arrive.

live
Latest mentions, classified
Most discussed topicsshare of total
Share of voiceyou and 9 competitors

Support tickets and NPS

The same themes, read from inside the company.

NPS38+4
Promoters52%+3 pp
Detractors14%-1 pp
Tickets1,284+6%
Ticket themesthis month
Settlement timing31%
Account verification21%
Checkout errors17%
Refunds12%
NPS by segmentscore
Strategic61
Loyal49
Promising32
At risk-12

Complaint management

Every negative mention, ticket and detractor becomes a case with an owner.

CaseSourceTopicPriorityStatus
#4821SocialSettlement a day lateCriticalNew
#4820TicketVerification stuckHighAssigned
#4817NPSCommission changeHighAssigned
#4815SocialCheckout timeoutMediumNew
#4809TicketRefund delayMediumResolved
The Voice of Customer dashboard design, filled with invented sample data. The production data is private.

06PayTR · Finance and pricing

Finance sees the margin of every transaction, not just the volume.

Volume was visible, margin was not. I built a Power BI and DAX model that shows the margin of every transaction, including the settlement float most payment teams never measure. I trained the CFO and management team to run it themselves, and designed commission rate test scenarios that weigh introductory offers against long term margin.

How the model works
Merchant segments, ranked by

    Illustrative rates per payment, in bps. Not PayTR figures.

    07Verintra Feed Optimizer · my own product, since 2025

    Product feeds decide whether a shop appears on Google, Meta and in AI answers.

    Most shops lose visibility before a single ad runs, because their product data is incomplete. I built the fix solo, end to end: 30+ checks per product, Gemini enrichment, a score for every product and compliant feeds for Google, Meta, TikTok and more. Next.js and MySQL underneath, with an analytics layer on Google Cloud: BigQuery today, dbt and Airflow being added. The brand and the launch ads are mine too.

    verintra.com
    Try it on your feed
    shop.example/feed.xml
    1. 1,284 products read
    2. 30+ checks per product
    3. Fixes ranked
    58/ 100

    Feed score grade D1,284 products · 13 fix groups

    4 critical9 warnings

    Written to a supplemental feed. The source feed is never changed.

    Ranked fixesby impact
      One product, field by fieldSKU 10482

      Experience

      Fintech, ecommerce, and my own product.

      Download the CV
      1. October 2024 to August 2026

        Digital Marketing Manager PayTR

        B2B fintech: online checkout and in store payments for SMEs. Owned budget, channels, funnel, CRM, analytics and AI customer insight.

      2. August 2023 to October 2024

        Digital Marketing and Growth Specialist Sosyopix

        D2C ecommerce for personalised photo products. Owned paid media, CRM and CDP, SKU analytics and the turnaround: marketing cost from 4.3% to 3.4% of GMV, and August 2024 the best month since records began in 2016.

      3. June 2022 to present

        Founder Verintra Digital

        Consultancy for SMEs and mid sized companies, and the Verintra Feed Optimizer. Run alongside full time roles.

      Education and learning

      • MSc International Marketing and Business DevelopmentMarmara University · thesis-based, taught in English
      • BA English Language and LiteratureIstanbul University
      • AI Development ModuleVeri Analizi Okulu, with Marmara University, METU, Boğaziçi University and ITU
      • Building with the Claude APIAnthropic · certification

      Writing

      Notes from the work.

      Retention · free SQL template

      RFM(T) segmentation, weighted by profit (free SQL template)

      How to score customers by recency, frequency, monetary value and tenure, and what to do with each tier.

       Measurement

      GA4 and server side tracking, set up properly

      Why client side tracking quietly loses data, and how to fix it with server side tagging and Consent Mode.

       Finance × data

      The margin hiding in settlement float

      A Power BI and DAX model that shows a fintech the margin of every transaction.

      Contact

      Where is your growth leaking?

      Send me the number that is not moving and a line about the team. I reply within one working day, with where I would look first.

      gokhanagarer@gmail.com
      LinkedIn GitHub CV (PDF)