How to Connect CRM and GA4 Data So Sales Stops Complaining About Lead Quality?

It’s the first day of the month, and time to summarize the results. Marketing is celebrating because in the spreadsheets, the number of leads is glowing green – a record has been broken. At the same time, CPL (Cost Per Lead) drops by 15%. Meanwhile, frustration reigns in the sales department. Sales reps are wasting their time calling back bots or companies completely uninterested in the service – they are dealing with worthless leads.

The reason? A lack of tracking lead quality. Without qualitative analytics, every lead that lands in the sales team is treated the same. As a result, team resources are wasted educating people who don’t want to buy. At the same time, those who are ready to lay down cash might be overlooked.

GA4 is not the only source of truth in B2B. Why?

A misleading phenomenon is the so-called “last-click myth.” Standard analytics only sees the customer acquisition process up to the moment the form is submitted. For Google Ads, the generate_lead event is already a success and often the end of measuring user behavior. But what’s hidden between the data?

• Lead A – a student looking for data for a thesis. Acquisition cost: $10.
• Lead B – a corporate CTO with a $500k budget. Acquisition cost: $500.

By not analyzing lead data, you might miss the more valuable ones. Smart Bidding systems aim to achieve the lowest cost per conversion. Since Lead A is cheaper, the algorithm automatically shifts the budget toward it. This way, you might scale the number of leads (to the marketing team’s delight), but at the same time, you cannibalize revenue (resulting in low-quality leads).

How, then, do you make Google Ads stop bringing in random traffic? At Delante, we implement Offline Conversion Tracking (OCT). This is technology that “closes the loop” between an ad and your CRM system. How does it work in practice?

1. A user clicks an ad from Google → immediately receives a unique GCLID.
2. Next, they drop into the CRM.
3. When a specialist from the sales team changes the lead’s status, e.g., “Contract signed, value $20k,” the system automatically sends this signal back to Google. Thanks to this, you can closely track the path of the user who ultimately became a valuable client.

Even if a lead is high-quality, a sales rep can “burn” the conversation by calling blind. They do not know what the client might be interested in, what they previously browsed on the site – they don’t know their needs.

The answer to this challenge is the Attributes & Lead Tracker tool. It involves implementing a mechanism that “attaches” data about a lead’s browsing and acquisition history in the CRM. As a result, the sales team sees in the system:

• Acquisition channel: LinkedIn Ads (e.g., from the “SEO Awareness” campaign).
• Visited landing pages: /premium-pricing; /logistics-case-study; /about-us.
• Number of website visits in the last 48h: 5.

Such data allows the sales rep to change their approach to the client completely. When calling a potential client, they can say, “Good morning, I see you’re interested in an implementation for logistics, similar to the one we did for Company X. Would you like to talk about it?” This way, right at the beginning of the conversation, you show the potential client professionalism and an understanding of their needs.

And what about those who didn’t reach the point of filling out the form? On average, only about 2% of all traffic converts. The remaining 98% is your missed opportunity. Thanks to company deanonymization tools (Account Identification), your sales team can get a report like this:

• “JPMorgan Chase visited the site 15 times last week. Someone from the IT department was browsing the audit offer.”

All the data you acquire through the solutions we’ve described can be used to automate processes. This is exactly how you’ll build effective, data-driven processes. What might the workflow of such automations look like?

• Educational Scenario: A potential client visited the blog 3 times but didn’t go to the pricing page → The automation sends them an educational e-book, not a sales offer (nurturing).
• Sales Scenario: A client is identified as “High Value” (e.g., a large corporation). They visit the Pricing page, and the system sends a Slack Alert to the Senior Sales Manager: “Attention, hot lead on the site! Call now.”

There can be many more scenarios – you can use data to reach clients at different stages of the decision-making funnel effectively. Sometimes with educational material, and sometimes with a direct conversation based on identified needs.

Remember – calling a lead without their attribution data is like performing surgery on a broken arm without taking an X-ray. You might hit the right spot, but the risk of error is massive. Collecting lead data is like taking an X-ray of the entire customer journey, even before you decide to dial the number left in the form.