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Marketing Analytics 2.0: how to integrate data from Ads, CRM and BI into one system

Marketing Analytics 2.0: how to integrate data from Ads, CRM and BI into one system

The classical model of marketing analytics worked for a long time on the principle: the advertising platform shows CTR, CPA or ROAS, and the team makes decisions based on that. This approach was logical in 2015–2020, when algorithms were simpler, cookies were more accessible and the buyer’s interaction with the brand was more linear. Today advertising systems underestimate or overestimate effectiveness, part of conversions are not attributed and the data is scattered across dozens of tools. Marketing without an integrated analytical core becomes intuitive rather than controlled.

Why “analytics 1.0” no longer works

The growth of CPM, the emergence of zero-click behavior, video platforms with unpredictable attention, retargeting without cookies, sales through messengers — all this breaks the line “impression → click → purchase”. Advertising platforms measure their own metrics and almost never the real value of the customer. A campaign may look successful in Ads Manager but fail at the stages of sales, consultations, repeat purchases or LTV. A business that analyzes only the first touch does not see the causes of success or failure.

One system: Ads → CRM → BI

Marketing analytics 2.0 connects three environments:

Ads platforms — capture the source and intensity of attention
CRM — stores leads, statuses, deals, reply speed, sales
BI level — turns data into business metrics: ROMI, LTV, share of repeat purchases, deal cycle speed

When the data is unified, the marketer sees not only “which creative delivered a lead”, but “which creative delivered a real purchase”.

The role of Ads: traffic is not the goal, but a signal

Advertising platforms are strong in prediction and optimization. They understand the audience and find those who respond. But:

they do not see negotiations
they do not account for returns
they do not know the value of the customer on day 90 after purchase
they do not capture long cycles

Ads measures the intent to click, CRM measures the intent to buy.

CRM as the core of truth

CRM is the central point of sales control. It forms the lead quality, communication history, deal statuses. Its mission is to record the path of the client after the first contact:

who replied
after how much time
what the client asked
what doubts existed
why the deal did not happen

Without CRM marketing sees only the surface, not the logic of choice.

BI as a layer of meaning

The BI system unites finance, marketing and sales. It does not show “which banner got 100,000 views”, it shows:

which campaigns bring above-average LTV
which segments generate margin
where the deal cycle slows
how response speed influences conversion
which offers work for repeat purchases

BI creates business vision that is impossible in pure advertising dashboards.

Маркетинговая аналитика 2.0 | как объединить данные из Ads CRM и BI в одну систему

How to build data integration

1. Define the key event

Not “click”, but “paid order” or “actual deal”. All platforms must converge to this point.

2. Synchronize identifiers

UTM tags, phone number, email, order ID — a bridge between Ads and CRM. If the identifier does not reach CRM, analytics breaks.

3. Choose an attribution model

Often the winners are not the first or last click, but combinations: first contact in Reels + consultation + search ad. Analytics 2.0 considers accumulated signals.