Remarketing with Google Analytics: segment on buying intent, not on volume

Remarketing with Google Analytics only really works when you stop targeting broadly and start building your audiences around buying intent. Most companies dump everyone who visited the website into one big remarketing list, and burn budget on visitors who will never become customers. The better approach: build separate audiences based on behaviour that reveals intent, such as visiting a service page, downloading content or dropping out halfway through a request form. That segmentation pays off is clear from Marketo’s numbers: the company reported up to 200% more conversions in B2C and 150% more in B2B with further segmented, personalised campaigns. In this article we show how to set this up in a B2B context, so you steer on customers who convert instead of on traffic volume.

If you would rather have someone set up your tracking and audiences end to end, take a look at our data and analytics service.

Why do you need remarketing in the first place?

Because the first click is almost never the click that converts. Around 90% of all visitors leave again without doing anything, and only about 2% convert on that very first visit. That means the bulk of your marketing budget brings in traffic that looks around once and then disappears.

Remarketing is the way to bring those lost visitors back. Instead of accepting that 9 out of 10 people are gone for good, you give the group that showed interest a second and third touchpoint. In B2B that makes particular sense: a buying decision there takes weeks to months and runs through several people. Nobody requests a quote after a single visit to your homepage.

But this is exactly where the trap is. If “bringing back lost visitors” means “chasing everyone who was ever on the site with ads”, you are mainly paying to reach people who were never in the market. That is the difference between remarketing as a cost centre and remarketing as a growth engine.

What is the problem with broad remarketing audiences?

The problem is simple: not every visitor is worth the same, but a broad audience treats them as if they are. Someone who landed by accident via a blog post and clicked away after four seconds sits in the same list as someone who viewed your pricing page three times. Both get the same ad, at the same cost.

The result is that your budget spreads out across a mass of lukewarm and cold visitors. Your impressions and clicks may look healthy, but your actual cost per new customer (your CAC) climbs, because a large share of those clicks comes from people who would never have converted. That is exactly the kind of vanity number we stay away from: a dashboard full of activity that delivers no customers.

Our rule of thumb: steer on the people who actually convert, not on total traffic. A smaller, sharper audience that reaches 80% of your relevant buyers is almost always more profitable than a broad list that touches everyone once. This ties into how we look at numbers in general, read more about that in vanity metrics in marketing.

How do you segment on buying intent instead of on volume?

By building your audiences around behaviour that reveals intent. In Google Analytics (GA4) you create audiences based on events and pages, and those signals are exactly what tell you who is warm, as Google’s remarketing documentation explains. For a B2B company, these are the most valuable ones:

• Visitors to a specific service page. Someone who viewed your page about a concrete service already knows what you do and is considering it. Build a separate audience per service, so your ad matches that exact service.
• Visitors to the pricing or contact page. Those are bottom-of-funnel signals. Someone looking at prices is comparing. That group deserves your sharpest message.
• People who downloaded content. Downloading a whitepaper, checklist or case study is an active choice. This group also often already gave you an email address.
• Non-converters who got far. Visitors who opened a request form but did not submit it, or who viewed several pages without getting in touch. This is often where the biggest gain sits: the interest was there, the final nudge was missing.

The art is keeping these groups apart and giving each its own message. Someone who only read a blog post should see something different from someone who compared your prices. That is what segmenting on buying intent means in practice: matching the message to the stage the visitor is in. How to set up the events behind these audiences is covered in our explainer on conversion tracking.

Does that extra segmentation deliver enough to be worth the effort?

Yes, and that is not an assumption. When Marketo split its audiences further to serve personalised ads, the company reported up to 200% more conversions in B2C and 150% more in B2B (according to Marketo). The reason is intuitive: relevance wins. An ad that matches exactly what someone just viewed performs better than a generic message to everyone.

At the same time, we are honest about the downside. More segments means more maintenance and smaller lists. If your audiences get so small that they barely contain anyone, ad platforms can no longer serve them properly and you throw away the advantage. The trick is balance: enough segmentation to be relevant, not so much that you fall apart into loose fragments.

For a small B2B company that usually means: start with three or four sharp audiences (service page visitors, pricing page visitors, content downloaders, far-advanced non-converters) instead of twelve microsegments. That is enough to solve the volume problem without creating a management monster. We deliberately keep audiences simple and adjust them quickly based on what works, rather than building a complex system that nobody maintains.

What do you need before this works?

Clean tracking. Audiences in Google Analytics are only as good as the events underneath them. If you do not reliably measure when someone visits a service page, downloads content or opens a form, you cannot target those groups separately either. That is why good remarketing does not start with ads, but with your measurement plan.

Concretely, you need three things:

1. A properly configured GA4 property with Google Signals switched on, so you can share audiences with Google Ads.
2. Events that capture your intent signals: service page views, downloads, form starts, pricing page visits.
3. Clearly defined key events so you know who did convert and can exclude those people from your remarketing (you would rather not pay to reach existing leads again).

If that foundation is off, you are segmenting on noise. We see it often: a company wants to “do something with remarketing”, but the underlying tracking does not allow buying intent to be recognised. Measure first, then target.

Frequently asked questions about remarketing with Google Analytics

Does remarketing actually work for B2B, or is it mainly for webshops?

It certainly works for B2B, but you translate the logic. E-commerce aims at “abandoned cart”, you aim at “viewed a service page but did not request a quote”. The signals are different, the principle is identical: following up on warm interest.

How many audiences do I need to get started?

For most small B2B companies, three to four sharp audiences are enough. Too many segments leads to lists that are too small to serve. Start simple and only split further once a segment proves large enough and profitable.

Should I exclude existing customers or leads?

Yes. Someone who already converted no longer needs to see your acquisition ad. By using your key events as an exclusion, you save budget and prevent irritation. For existing customers, separate upsell or retention messages work better.

Why does my remarketing still convert poorly after segmentation?

Usually because of one of two things: your tracking does not capture the intent signals correctly, or your ad does not match the segment. Check first whether your events are coming in reliably before you adjust the creative.

Want remarketing that saves budget instead of burning it?

Good remarketing is not about chasing more visitors, but about recognising the right visitors. That starts with clean tracking and audiences built on buying intent, not on traffic volume. We are a small team that moves fast, gives honest advice and sets up your B2B data so you steer on customers and revenue. Book your free intake.