What we do

Analytics support built around the business problem.

From measurement and customer behaviour to paid acquisition, conversion, reporting and automation, Cihangir Analytics helps organisations turn data into decisions and practical improvements.

Visual of complex data converging on a compass and emerging as clear business signals

Core capabilities

Recognisable services. Practical outcomes.

We keep the service language familiar, then focus on the job that needs doing: make the data trustworthy, understand behaviour, improve acquisition and conversion, or reduce repeated analytical work.

01

Digital Analytics & Measurement

Make sure the business is measuring the right things, accurately and consistently.

GA4 and Adobe Analytics, GTM, tracking strategy, analytics audits, KPI frameworks, consent, data quality and governance.

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02

Customer & Product Analytics

Understand how customers behave, where they drop out and what drives engagement, retention and value.

Behavioural and transactional analysis, segmentation, retention and churn, funnels, product KPIs, experimentation and commercial evaluation.

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03

Marketing & Conversion Analytics

Find where acquisition spend is working, where it is being wasted and what is limiting conversion.

Paid media and PPC analysis, channel and audience performance, CRO, funnel analysis, experimentation, optimisation and attribution-aware analysis.

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04

Data, Reporting & Automation

Build data and reporting systems that reduce repeated manual work and make insight easier to use.

SQL analysis, data warehousing, BI and reporting frameworks, automation, governance and reusable analytical workflows.

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Embedded support

Analytics capability inside your team when the work needs continuity.

Some requirements are not a two-week project. Cihangir can work alongside existing product, marketing, data or commercial teams for a transformation, delivery programme or fixed-term requirement.

This model is particularly useful where analysis needs to stay close to day-to-day decisions, stakeholders and delivery.

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How we approach the work

Evidence before assumptions.

Start with the question

Clarify the decision, problem or opportunity before choosing tools, dashboards or channels.

Make the evidence trustworthy

Definitions, tracking and data quality need to be good enough for the decision being made.

Investigate, not just report

Go beyond headline movements to understand what is driving them and where action is useful.

Measure the outcome

Close the loop so the business learns from what changed rather than repeating the same analysis.

Start with the problem

Not sure which capability fits?

Tell us what the business is trying to understand, fix or improve. The service should follow the problem, not the other way round.