Google Analytics 4: Stop Chasing Vanity Metrics

The shift to an event-based model isn’t just a technical upgrade — it’s a mindset change. Instead of patting yourself on the back for a traffic spike, you start paying attention to what people actually do on your site. Did they watch the video? Did they drop off before checkout? Did they ever return? Those are the numbers worth losing sleep over — because those are the ones that actually grow your business.

The Problem With Most Analytics Dashboards

You know what I see constantly? Businesses staring at analytics reports showing 50,000 pageviews, 2,000 bounced sessions, a 34% bounce rate (or was it 35%?), and… zero idea if any of this matters.

Last year, an e-commerce brand from Surat called us. Beautiful brand. Real products. They’d been “doing analytics” for two years with another agency. Their dashboard looked like a spaceship cockpit. Dozens of widgets, custom metrics, colour-coded alerts.

I asked the founder: “How much revenue is this bringing in?” He paused. “We… don’t actually track that.”

They were measuring everything except what mattered.

That’s where GA4 comes in. Not because Google built something magical. But because GA4 forces you to think about events — actual things users do — instead of session abstractions nobody cares about. It’s less powerful than you think. More useful than you’d expect.

GA4 vs Universal Analytics: What Actually Changed

Universal Analytics tracked sessions. Think of a session like a container—you open the app, you’re in a session. Within that session: pageviews, clicks, maybe a purchase.

GA4 threw that container away. Now GA4 tracks events. A pageview is an event. A click is an event. A 30-second pause on a video page—that’s an event too. Everything is tracked individually, with whatever details you want to attach.

Sounds like a small change. It isn’t.

With sessions, you got: “User X had a session lasting 5 minutes with 3 pageviews.” That was it.

With events, you get: “User X viewed product page, scrolled 75% down, clicked ‘add to cart’, then abandoned. Came back 3 days later from a Facebook ad, finished the purchase on mobile.”

The second one is way more useful. Also way more complicated if you’re not careful.

Three things that matter

1. Cross-device tracking—GA4 can follow someone from mobile to laptop to tablet without losing the thread. Universal couldn’t do this well. For Indian users who research on phones and buy on desktops, this is crucial.
2. Flexibility—You’re not locked into predefined goals. If you want to track “users who viewed a product, saw a competitor’s name in reviews, but still bought,” you can. UA would’ve needed three custom goals and a prayer.
3. The third thing—and I think this is underrated—is that GA4 forced our clients to actually think about what they’re measuring. You can’t just set up GA4 and ignore it. You have to define events. You have to decide what matters. It’s not a flaw. It’s the best feature.

Getting GA4 Running (The Short Version)

The setup part is — okay, I’ll be honest — it’s kind of tedious. But it takes maybe 30 minutes if you pay attention.

Step 1: Create the property. Google Analytics admin panel, “Create property,” choose GA4. Set timezone to IST. Currency to INR if you’re tracking purchases in rupees. People skip this and then their reports are off by hours. Don’t be that person.

Step 2: Install the tracking code. Google gives you a snippet. You either paste it on your website (if it’s simple), or you use Google Tag Manager (if you’re not a caveman with code). GTM is better. Use GTM.

Step 3: Verify it works. Go to Real-time reports. Visit your site. You should appear in the report in seconds. If you don’t, go back to step 2 and fix it.

Step 4 : And this is where it gets important — define your events. This is the part that separates useful analytics from a useless dashboard.

Don’t just track everything. Track what you care about. An e-commerce shop should track: product view, add_to_cart, checkout started, purchase. A SaaS platform: signup, trial started, upgraded, cancelled. Each industry is different. Think about your business goal, then work backwards to events.

Once events are configured—and honestly, you’ll probably adjust them three times before you get it right, which is normal—you’re mostly done. Everything else is just learning to read the reports.

Events and Parameters: The Building Blocks

An event is a thing a user does. Clicks a button. Fills a form. Buys something. Watches a video.

GA4 comes with some automatic ones: page_view (user lands on a page), session_start (first event of the session), user_engagement (user is still active). You can enable more: scroll events, video_play, file_download.

But automatic events aren’t enough. You need custom events that matter to your business.

That’s where parameters come in. A parameter is extra information about an event. Say someone buys something. The event is “purchase.” But parameters tell you more: which product? What price? From which city? Using what payment method?

For Indian e-commerce, city and payment method are gold. You want to know: Are Mumbai users your biggest spenders? Do Bangalore users prefer UPI? This stuff informs pricing, delivery strategies, ad targeting.

A fashion brand we worked with — actually, scratch that. I shouldn’t name them. But they tracked product purchases without tracking product_category. So they knew 400 units sold, but couldn’t tell if it was shirts, shoes, or something else. Useless. Added category as a parameter, suddenly they could see shoes outsold everything 3:1. They doubled down on shoes. Revenue went up. That’s the difference parameters make.

The Reports That Actually Matter

GA4 comes with a ton of reports. Most of them you’ll ignore. Three you actually need.

Real-Time

Exactly what it sounds like. Right now, how many users are on your site? What events are they firing? This is less useful for decision-making and more useful for “Is my site broken?” checks. Launched a new feature? Check real-time to see people using it.

Lifecycle Report

This one’s actually underrated. Shows you: new users coming in (acquisition), how often they’re coming back (retention), and most importantly—how much revenue they’re generating (monetization).

I was in a Jamshedpur manufacturing company’s office once. They had a ton of website traffic. Like, a lot. But acquisition was expensive and retention was garbage. This report showed immediately: they were spending money to bring in users who never came back. So we shifted to retention campaigns first, pulled acquisition spend way down. Cost per sale dropped 40%. That report was the insight that changed everything.

Explore Report

The power tool. Build custom funnels (how many people drop off at checkout?), path analyses (what’s the most common route people take before buying?), cohort comparisons.

This is where you actually think about your data instead of just staring at it.

Conversions: The Only Numbers That Matter

You can mark any event as a conversion. When you do, GA4 treats it differently. Highlights it in reports. Uses it for machine learning. Sends it to Google Ads.

So which events should be conversions?

Only the ones that mean something to your business. For e-commerce, a purchase is obvious. For SaaS, it’s signup or subscription_start. For a news site, newsletter_signup. For lead generation, a completed form.

Don’t mark everything. I see businesses with 20+ conversions tracked. That’s not tracking — that’s drowning. Your data becomes noise.

Also, I want to call out something dumb we’ve done. We once set up 14 different “conversion” events for a brand, each one at a different stage of the customer journey. Page view = conversion. Sign up = conversion. First purchase = conversion. All of them marked as conversion equals all of them meaningless. The Saurav was furious (rightly so). Sabse pehle ROI — what actually drives the business? Start there.

For most Indian e-commerce brands we work with, there are usually three conversions that matter: first add-to-cart (shows intent), first purchase (shows they actually buy), and repeat purchase (shows they’re a customer, not a one-time fluke).

Audiences: Turning Data Into Action

An audience is a group of users. You define the group based on what they did, where they’re from, how much they spend — whatever.

Why? Because once you’ve defined an audience, you can send them to Google Ads or Facebook for remarketing. Or you can send them to your email platform for targeted campaigns.

Behaviours that matter:

Abandoned cart is the obvious one. Someone added a product, started checkout, then bounced. Remarket them with the exact product they abandoned plus a discount code. Easy 10-15% of lost revenue recovered.

Demo viewers for SaaS. Showed interest but didn’t sign up. Remarketing angle: extend free trial offer.

High-value users. Spent a lot, bought multiple times. Send them exclusive new product launches before anyone else sees them.

There’s also geographic. Tier-2 and Tier-3 city users often have different buying patterns. Lower price sensitivity in metros, different product preferences in smaller cities. Build audiences, tailor messaging.

Vinnay argues that demographics-based audiences are overrated for e-commerce. We’ve had better luck with behavioral audiences (did they do X?) than demographic ones (are they female?). But experiment with both. Your mileage will vary, as we say.

When You Want To Actually Understand What’s Happening: Explorations

This is where GA4 separates from reports. Explorations are custom deep dives. You ask a specific question and GA4 helps you answer it.

Funnel exploration: “How many people drop off at each stage of checkout?” Set up the funnel (product view → add to cart → checkout start → payment → purchase). See where people bail. Optimise that step. Rinse, repeat.

Path exploration : It is weirder but useful. It shows: what’s the actual path people take before converting? Maybe you think it’s product page → checkout. Actually it’s product page → reviews page → product page → customer Q&A → product page → checkout. That knowledge changes how you build the page.

Cohort analysis: compare users who signed up in January vs April vs July. Are they behaving the same way? Are newer users higher-value or lower-value? This reveals if your product is getting better or worse, or if your marketing has changed.

Honestly, most of these features stay unused because they require actually thinking about your data. It’s easier to stare at the default dashboard and pretend you understand things. But the real insights live in explorations.

Connecting GA4 to Google Ads

Most businesses run Google Ads blind. They see clicks. They see cost. They have no idea if those clicks turn into customers.

Connecting GA4 to Google Ads fixes that. Suddenly you see: keyword “blue sarees size 10” brought in 45 clicks, 3 purchases, at 200 rupees per click. Is that good? Only you know your margins. But at least you know the number.

The connection also lets you send GA4 audiences to Google Ads for remarketing. That abandoned cart audience we talked about? Send them Ads. Cheap, targeted, effective.

To set it up: GA4 > Admin > Data streams > Select your website stream > Google Ads links > Add your Ads account. Takes 5 minutes. Wait a day for data to sync.

Once it’s connected, look at the “Ads” reports in GA4. Specifically, the “Performance by Conversion” view. If you see a keyword getting clicks but zero conversions… pause it. If you see a keyword making conversions at great margins… increase spend. That’s ROI-first marketing. Seedha baat.

Privacy and Getting DPDP Compliant

India passed the DPDP Act (Digital Personal Data Protection). If you’re collecting data on Indian users, you need to follow it.

GA4 actually makes this easier than the old system. It uses “behavioral modelling” — basically Google figures out patterns without tracking individual people. So your data is already somewhat anonymized.

But you still need to:

• Get consent before tracking. Show a banner, let users opt-in (for non-essential data). This is legally required. It’s also good practice.
• Anonymize IP addresses. GA4 has a setting for this. Turn it on.
• Respect Do Not Track signals. Honour them. Some users don’t want to be tracked. Respect that choice.
• Document what you’re collecting. Users have a right to know. Have a clear privacy policy. Update it regularly.
• This stuff isn’t sexy but it’s important. Also, I’ll say it — Indian users increasingly care about privacy. Show them you respect it. That builds trust. And trust converts better than any optimization.

GA4 for Indian Businesses: Regional Insights and Multi-Device Tracking

GA4 helps Indian businesses track user behavior across devices and regions, providing a clearer view of the path to conversion.

• Multi-Device Tracking

Indian users are mobile-first but not mobile-only. They research on mobile, compare on desktop, and buy on tablet. GA4’s multi-device tracking stitches these journeys.

Enable User-ID feature for logged-in users. Implement Google Signals for cross-device analysis. This shows you the full path to conversion, not just isolated devices.

• Regional Insights

India is massive and diverse. Delhi users behave differently than Mumbai users, who behave differently than Bangalore users.

In GA4, create user properties for: City, Tier (Tier-1, Tier-2, Tier-3), Language. Filter reports by these properties. Understand regional demand, pricing sensitivity, and product preferences.

For example, Tier-2 city users might have longer decision cycles (more sessions before purchase). Adjust your nurture strategy accordingly.

The Mistakes We See (And You Should Avoid)

• Setting up the tracking code and installing the tag and thinking you’re done.
• That’s not setup. That’s just… noise. Real setup is defining what you measure. What are your events? What are your conversions? This part takes thinking. Most people skip it.
• Tracking everything like it matters. Then having 30 metrics on your dashboard and understanding none of them.
• Not connecting to Google Ads. So you’re running ads but have no idea if they’re profitable. That’s bizarre and I see it constantly.

Forgetting there are privacy laws. No consent banner, no proper anonymization, collecting data you don’t need. This one actually has legal implications.

Looking at the raw data (like “1,204 people viewed the product”) and not thinking about context (“1,204 people viewed, 23 bought, our conversion rate is 1.9%”). Raw numbers are useless. Context is everything.

The Actual ROI Question

• Does GA4 increase revenue by itself? No. It’s not magic. It’s a tool.
• Does it help you make better decisions that increase revenue? 100%.

You can’t optimise what you don’t measure. GA4 lets you measure properly. That’s the whole thing.

A real estate company we worked with — Ahmedabad, property listings. They had a decent website. Okay conversion rate. But they didn’t know which property types converted best, which neighborhoods had the most enquiries, which traffic sources actually resulted in sales versus just clicks.

We set up GA4, tracked those specifics. Turned out their luxury properties from Paldi converted at 3x the rate of mid-market properties. So they shifted ad spend to target luxury property buyers. Revenue went up 45% in four months. GA4 didn’t make that happen. But GA4 showed them where to focus. That’s the real value.

What We Actually Use GA4 For

Honestly? We use it to argue with clients.

Client: “More traffic will solve everything.”

GA4: Shows their conversion rate is 0.8%. More traffic won’t help if only 1 in 125 people buy.

Client: “We need to target women aged 25-35.”

GA4: Shows their highest-value customers are men 40-50.

Client: “Paid ads aren’t working.”

GA4: Shows paid ads bring cheaper, better-quality traffic than organic. They just weren’t tracking it properly.

GA4 removes opinion from the conversation. That’s valuable.

Related Reading : 

• Performance Marketing for Indian Brands

Quick checklist before you start:

• Define the one thing you want: leads, sales, awareness — pick one.
• Baseline your numbers: write down where you are today.
• Pick a 90-day window: nothing moves in 2 weeks.
• Agree on success metrics: with whoever is paying the bill.
• Set up proper tracking: GA4, UTMs, call tracking.
• Review monthly: kill what doesn’t work, double down on what does.

Final Thought

GA4 is complex. Setup is annoying. Reading reports feels like deciphering a code.

But — and this is important — your competitors who skip GA4 are guessing. They’re running ads and hoping. They’re optimising pages without knowing what actually matters to users. They’re growing, maybe, but inefficiently.

You don’t have to be like that.

Spend a day setting up GA4. Spend another day defining your events. Then, every week, spend 30 minutes looking at the data. That’s it. Over time, you’ll stop making dumb decisions because the data will literally prevent you.

Build karo, measure karo, grow karo — build, measure, grow. That’s the PromotEdge way. GA4 is the measuring part.

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