Performance Marketing
CRO & Experimentation

Some of the 500+ brands we've worked with
See all referencesBefore a test goes live
Experiments your team can make a decision from
Conversion & experimentation


Campaign Landing-pageExperimentation
Live campaign traffic changes the test. The ad's promise, eligibility and tone stay intact on the page while one change is measured against the approved conversion.


FrictionResearch
No heatmap or handful of recordings settles a cause on its own. Every input is logged with its source and confidence before a hypothesis may be written.


ExperimentQuality Control
A verdict holds only when guardrails, stopping logic and the analyst review were agreed before exposure.


Conversion ResearchAudit
Competing theories about one page are the signal for this one. Analytics, recordings, accessibility and technical checks come back as a register ranked by evidence strength.


Experiment HypothesisRoadmap
More hypotheses than run windows is the condition here. Impact, evidence strength and effort get scored on one rubric, and conflicting tests move into separate windows.


A/B TestDesign & Analysis
Take this one while the statistics are still open, because minimum detectable effect, sample size, randomization unit and stopping rule get settled before the build.


Form & CheckoutOptimization
A step-level drop with no field behind it points here. Focus, error and abandonment events per field separate a confusing input from one that simply loads slowly.


Funnel Friction & JourneyDiagnostics
Use this one where the journey crosses several pages and the visible exit may not be the cause, since backtracking and re-entry have to stay in the evidence.


ExperimentImplementation & QA
Once tests run often enough that checks by feel become the risk, the release gate moves here, covering the device matrix, assignment logs, accessibility and a rehearsed rollback.


Experiment LearningRepository
Past tests stop being useful once nobody can find them. Here they are rebuilt into one record format, tagged by mechanism and audience, with contradictions flagged for review.
What you need to decide
Make landing-page decisions your team can review
Reliable Analytics comes first because experiments need trustworthy measurement. CRO covers the research, hypothesis, QA, analysis and implementation decision for the experience in scope. Even a well-run test can end with a null, negative or invalid result.
How we work
Write the decision before exposure
We keep observations separate from assumptions, agree on the decision in advance and use QA and guardrails to protect users and measurement. Null and negative results stay in the record because the next decision may depend on them.
Scope and ownership
The decision is written before anyone sees a variant
A test earns its place when the question, the measurement, and the decision owner are settled in advance.
We trace the journey through user evidence, event definitions, and traffic shape, record the technical limits and consent requirements, then write an experiment contract naming the mechanism, primary metric, guardrails, eligible population, variants, expected decision, and the reasons a result may be invalid. Zeo runs research, design, QA, analysis, and the implementation recommendation; the business decision and the release stay with your owner, and reliable Analytics is a dependency we do not also own. Null, negative, and invalid results stay in the record, because the next decision often depends on them more than a win would.
From a friction signal to a decision
The journey and its measurement baseline
We trace the journey through user evidence, event definitions and traffic shape. Before a hypothesis moves forward, we record the technical limits, consent requirements and who owns the business decision.
Write the experiment contract
The mechanism and primary metric define the claim under test. The same contract carries guardrails, eligible population, variants, expected decision and the reasons a result may be invalid.
QA before wider exposure
Copy, layout and accessibility go through review alongside analytics, audience assignment, performance and rollback. Exposure increases only after those checks.
Decide with uncertainty visible
Sample-ratio checks, segments, guardrails and practical effect sit beside the main result. Together they support a ship, iterate, stop or gather-more-evidence decision.
What our clients
Say about the work
These clients describe the planning, measurement, and communication they experienced while working with Zeo.
Conversion work
Case Studies
Traffic that already existed, converting at a rate the client could feel.
People who own a single channel
Paid Search, Paid Social, CRO, and Programmatic each run under a named owner at Zeo. The consultants below are matched to the channel this page is about, so you can see who you'd actually work with.

Zafer Yıldız
Web Analytics Manager

Serap Yurtvermez
Performance Marketing Team Lead

Abdullah Tanıdır
Performance Marketing Team Lead

Sevda Yurtvermez
Performance Marketing Team Lead

İlker Emir
Senior Performance Marketing Executive

İpek Ezer
Performance Marketing Executive

Onur Durdağı
Performance Marketing Executive
Tools we use
The paid media stack behind the work
Campaign structure, bidding, feeds, call tracking and reporting each live in their own tool. These are the ones our team runs accounts in.
Advertising platforms we buy on
Google Ads
Microsoft Advertising
Meta Ads
TikTok Ads
LinkedIn Ads
Amazon Ads
Pinterest Ads
Snapchat Ads
X Ads
Reddit Ads
Ad creative and landing pages
- UnbounceWhen an experiment needs a standalone landing page rather than a variant of an existing CMS page, we build it in Unbounce, whose Smart Traffic feature can route visitors to whichever built variant is converting best for them. This is a page-creation tool, feeding the testing platforms above rather than running the statistical test itself.
- InstapageFor an experiment that has to prove which ad creative drove which landing-page variant, Instapage's AdMap gives that visual ad-to-page pairing directly, which Unbounce's builder doesn't carry as a named feature. It is the second landing-page-creation option on this page, picked for that specific traceability need.
- HubSpotWhere the client's own marketing stack is already HubSpot, building the test page there keeps the conversion event and the resulting lead record in one system rather than piping a third-party landing-page tool's data into a separate CRM. It's a third landing-page-and-CRM option on this page, chosen specifically for HubSpot-native clients.
- ClickFunnelsWhen the hypothesis under test is a multi-step sequence, an offer page into an upsell into a checkout, rather than a single page, ClickFunnels is built specifically around that funnel structure. This is a fourth page-building option, distinct from the single-landing-page tools above by scope: a whole sequence, not one page.
- LeadpagesWhen a test needs a page live quickly, Leadpages' AI builder generates a working variant from a plain description in roughly a minute, with A/B testing and heatmaps already built in rather than bolted on. It's the speed-optimized option among this page's landing-page tools, not the default choice when there's time to build in Unbounce or Instapage instead.
- LandingiFor a test that spans many page variants sharing a common section, Landingi's Smart Sections update that shared block once and sync it everywhere, rather than requiring a page-by-page edit across every variant. This is the option on this page built specifically for a many-variant test, not a two-arm A/B split.
CRO and experimentation
- ContentsquareWhere people get stuck, this page's own hero question, gets diagnosed first in Hotjar (now part of Contentsquare): heatmaps and session replay show the click and scroll pattern, and rage-click flags point straight at the friction moment. This is the diagnostic layer that feeds the experiment contract, run before any variant gets built rather than after.
- OptimizelyWhen a hypothesis reaches into CMS-managed content or layout rather than a single page element, we build and run that test in Optimizely, whose platform pairs experimentation directly with its own content system. This is one of two execution platforms this page's tool set carries; the choice between it and VWO comes down to whether the client's content already lives in Optimizely's CMS.
- VWOFor a standard web A/B or multivariate test, VWO runs it on a sequential-testing model, so a mid-test check is not the same thing as a stopping decision. Its Plan module is also where hypotheses get scored and where finished-test insights get filed, which is what keeps a program running past a single experiment's results.
- AB TastyWhen a hypothesis restructures a whole flow rather than swapping one headline, that variant gets built in AB Tasty's Visual Editor, a no-code, low-code tool the vendor documents as covering multi-page tests alongside the standard single-page A/B and multivariate kind. This is the third execution platform on this page, chosen over VWO or Optimizely specifically when the redesign spans more than one page.
- Crazy EggAlongside Hotjar's diagnostic layer, Crazy Egg's Confetti Maps segment click evidence by traffic source, which is what catches a pattern that only shows up for one channel's visitors rather than pooling everyone into a single map. It runs as a second, differently-segmented read on the same friction question Hotjar answers first.
- ConvertFor a client where even a brief flicker during variant load would undermine trust in the test, Convert's SmartInsert technology is built specifically to avoid that flash. It is a fourth execution-platform option on this page, distinct from VWO, Optimizely, and AB Tasty by that one delivery-quality difference rather than by feature breadth.
Measurement and attribution
- Google AnalyticsWriting the experiment contract means picking a randomization unit, and that choice only holds if it matches how the account's GA4 property already scopes its data; user-scoped and event-scoped dimensions are genuinely different constructs there, not interchangeable labels, and getting that wrong is a silent error a dashboard won't flag on its own. This check runs before any of the four testing platforms above ever executes a variant.
- Google Tag ManagerA test can look statistically clean and still be measuring nothing real if a tag silently didn't fire, so QA before wider exposure, this page's own third process step, runs the built variant through GTM's preview and debug tooling first. Catching that gap here, before traffic scales, is cheaper than discovering it after the result is already unreliable.
Next step
Scale your paid media with measurable efficiency


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