معرفی
Most analytics setups were configured once, extended under pressure, and never audited. The data looks complete and is quietly wrong: duplicate events, internal traffic counted, conversions firing on page load. Everything built on top of it inherits the fault.
The work here is unglamorous and decisive. Design events around the decisions you actually make, validate the numbers against something you know is true, recover what browser restrictions have taken away, and then analyse rather than merely report.
مناسب چه کسانی است
- Companies whose analytics disagrees with their own sales figures
- Advertisers whose reported conversions fell without sales falling
- Teams with several dashboards and no number anyone trusts
چیزهایی که در داده و تحلیل انجام میدهیم
روی هرکدام بزنید تا شرح کار، خروجیها و روش اجرا را ببینید.
تحلیل دیجیتال
Analytics implemented so the numbers can be trusted: events designed deliberately, consent handled correctly, and reporting that answers a question someone actually asked.
پایش عملکرد
Knowing what each channel and campaign actually produced: consistent tagging, conversions defined once, and reporting that survives someone changing a URL.
مدلسازی سهم کانالها
Working out what each touchpoint contributed, choosing a model that fits your sales cycle, and being clear about what attribution can and cannot tell you.
ثبت داده با رعایت حریم خصوصی
Measurement that works within consent rules rather than around them: consent handled properly, data minimised, and modelling used for what consent removes.
ثبت داده سمت سرور
Moving measurement off the browser: a server-side container, platform conversion APIs, and control over what data leaves your infrastructure.
مصورسازی داده
Dashboards and reports people actually read: built around a decision, honest about uncertainty, and readable at a glance without a legend of caveats.
یکپارچهسازی CRM و CDP
Joining marketing data to what happened afterwards: identity resolved, records synchronised both ways, and closed-won data fed back where it changes decisions.
تحلیل عملکرد بازاریابی
Reading the data rather than collecting it: finding what actually changed, what caused it, and what to do differently next quarter.
پرسشهای رایج درباره داده و تحلیل
چیزهایی که معمولا قبل از تماس میپرسند. اگر پرسش شما اینجا نیست، مستقیم بپرسید.
Why does our analytics not match our sales figures?
Usually a combination of consent rejection, ad blockers, cross-device journeys and attribution windows, plus implementation faults. A gap is normal; a large or unstable one indicates something fixable, and we quantify each cause rather than accepting it.
Can attribution tell us what caused a sale?
No. Attribution allocates credit among touchpoints you can observe, which is useful for steering. Causation needs a holdout test, and arguing about attribution models is usually a substitute for running one.
Do we need a customer data platform?
Less often than they are sold. For most mid-sized companies a well-integrated CRM plus a warehouse does the same job for considerably less.
کار در چند بازار
تیمهایی که در کشورها و زبانهای مختلف پروژه تحویل دادهاند.
ساخته شده برای بررسی
امنیت، دسترسیپذیری و حریم خصوصی موقع ساخت رعایت میشود، نه سر ممیزی.
سنجیده، نه حدسی
در هر همکاری، قبل از شروع سر عدد موفقیت توافق میشود.