BNPL: Buy Now Pay Later for ecommerce
Deferred payment reduces cart abandonment by up to 20%. Discover how to implement BNPL in your store and when it actually makes sense.

Looker Studio (formerly Google Data Studio) is one of the most accessible data visualization tools available for marketing teams. It's free, connects directly to Google Analytics 4, Google Ads, Search Console and dozens of other sources, and lets you build dashboards that anyone on the team can consult without needing direct access to the original platforms.
The problem is that most dashboards built in Looker Studio are useless. They display a lot of numbers but don't facilitate decisions. This guide shows you how to do it right from the start.
Looker Studio is a cloud-based Business Intelligence tool that lets you connect data sources, transform them visually and share them as interactive reports. Its main advantages for marketing teams:
The most common alternative is exporting data to Excel or manually creating PowerPoint presentations each month. Looker Studio eliminates that repetitive work and lets you spend time interpreting data instead of copying it.
The first step is adding GA4 as a data source. The process is straightforward:
One important point: GA4 has a different data structure from Universal Analytics. "Events" replace "sessions" as the primary unit, and some metrics that existed in UA (such as bounce rate) have a different definition in GA4 (engagement rate). If you're migrating old reports, keep this in mind to avoid comparing apples and oranges.
A good conversion dashboard doesn't need 40 metrics — it needs the right ones. These are the metrics that should be present in any results-oriented report:
| Metric | What it measures | Why it matters |
|---|---|---|
| Conversion rate | % of sessions that complete the goal | The central performance metric |
| Sessions | Total traffic volume | Context for interpreting the rate |
| Conversions | Absolute number of completed goals | The real business result |
| Revenue per session | Revenue or value / sessions | Traffic quality |
| Bounce rate (non-engagement rate) | % of sessions with no interaction | Signal of traffic relevance |
| Average session duration | Minutes per visit | Engagement indicator |
| Top entry pages | Which pages receive the first click | Prioritize where to optimize |
| Conversion funnel | Drop-off by step | Detect where users are lost |
For ecommerce, also add: total revenue, AOV (average order value) and cart abandonment rate.
A useful dashboard is organized by depth. A structure that works well:
Page 1: Executive summary. A single page with the main KPIs for the selected period, comparison with the previous period and time trend. Designed for someone with 2 minutes.
Page 2: Channel analysis. Breakdown of sessions, conversions and conversion rate by acquisition channel (organic, direct, paid, email, referral). Lets you see which channels bring quality traffic vs. volume without conversion.
Page 3: Website behavior. Most visited pages, pages with the highest exit rate, load time per page. Connects traffic with the experience.
Page 4: Detailed conversion. Step-by-step funnel, segmented by device and channel. This is the working page for the CRO team.
Google offers a template gallery at lookerstudio.google.com/gallery. Some of the most useful for marketing:
Any template can be copied and adapted to your own data sources in a few clicks. It's a much more efficient starting point than building from scratch.
Too many metrics on a single page. A report with 30 charts doesn't inform — it paralyzes. Each page should have a clear purpose and no more than 8–10 visual elements.
No interactive date filters. If the report has fixed dates, every time someone wants to see a different period they'll have to ask you to update it. Always add a date range selector at the top.
Mixing metrics from incompatible sources. For example, combining GA4 sessions with Google Ads clicks in the same chart without accounting for how data is attributed. The result is numbers that can't be interpreted with any rigor.
Not documenting definitions. If someone sees "conversions" in the report, do they know which GA4 event it's measuring? Add explanatory notes or a glossary in an "About this report" page.
Manually updating data from spreadsheets. If you're exporting data from your CRM to a Google Sheet every week to feed the dashboard, you're creating a fragile process. Use direct connectors or automate the export whenever possible.
A well-built Looker Studio dashboard is the starting point for any serious conversion optimization process. It lets you identify where the biggest improvement opportunities lie, quantify the impact of changes made and communicate results clearly to all stakeholders.
But data only tells you what is happening. Deciding what to do with that information, formulating hypotheses and designing experiments — that's the work of CRO. If you want to understand how this process fits into a complete optimization strategy, you can see how we approach it at our CRO agency.
And if you want a quick analysis of your site's friction points before diving into dashboards, start with Scan&Boost.
Adrià Vidal — Boost · Conversion Rate Optimization
Deferred payment reduces cart abandonment by up to 20%. Discover how to implement BNPL in your store and when it actually makes sense.
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