eCommerce Data Insights Template (Scale)

Price range: 249,00 € through 299,00 €
Installation
one time payment icon

One-time payment

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Instant access

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Insights, not graphs

reusable dashboard icon

Reusable package

funnel performance icon

Find why conversion drop

Identify frictions in your funnel in minutes

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Spot revenue leaks

See where you’re losing money, where, and why

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See device performance

Identify a leaking step and device of

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Get a ready-made dashboard

Connect your data & get instant insights

user purchase funnel

Leakonic Premium is an advanced ecommerce insights report template that helps online stores uncover revenue leaks across funnels, products, categories, SEO, and Google Ads in one Looker Studio dashboard. Built for GA4, BigQuery, Google Search Console, and Google Ads data, it turns raw ecommerce performance data into clear leak signals, lost revenue estimates, and actionable priorities.

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No coding needed

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Get insights, not numbers

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Compare device funnel performance

  • Google Data Studio (Looker Studio) dashboard report template
  • Google BigQuery SQL script
  • Step-by-step setup guide and documentation
  • Google Analytics 4, Google Ads, & Google Search Console
  • Active BigQuery project with GA4, GSC, & Google Ads export enabled
  • Google Data Studio (Looker Studio) free account
google bigquery logo

Perfect for:
Small eCommerce stores – Sites with GA4 data connected to BigQuery – Owners and marketers who need quick data analysis

The package includes:

  • Overview
  • Revenue leaks and issues
  • Purchase funnel analysis
  • Conversion rate by landing pages
  • Product analysis
  • Funnel analysis by device
  • SEO analysis
  • Google Ads analysis

❌ GEO analysis

Free tools and quicks setup.

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Google Analytics 4

Ensure you have the enhanced eCommerce analytics configured with event tracking, and connected to BigQuery.

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Google BigQuery

Make sure you have a created BigQuery project with a GA4 dataset. Don’t forget to replace project and dataset names.

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Google Data Studio

Create a free Google Data Studio account to use the dashboard. You can do it after the purchase. No configuration required.

Google Ads

Ensure you have the Google Ads configured and connected to BigQuery. Collect at least 7 days of data.

google search console logo

Google Search Console

Ensure you have the Google Search Console verified and connected to BigQuery. Collect at least 7 days of data.

installation and setup time 5 min

5-minute setup

You can run the script and connect your data to the dashboard on your own. No coding required. Or we can do it for you.

Product and category analysis shows where customer interest is not converting into revenue. It helps identify popular products with weak purchase rates, underperforming categories, and strong sellers that may still be losing sales, allowing you to prioritize the areas with the highest potential for growth.

Product interest

Users are highly interested

sports wear
view icon

128K

Views

purse
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96K

Views

headphones
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112K

Views

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Number of Sales

Sales are much lower than interest

sports wear
cart icon

320

Sales

purse
cart icon

210

Sales

headphones
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180

Sales

Insights

Meaningful insights to take action

High views, few sales

Big interest, but sales aren’t keeping up

Categories with low conversion

Specific categories convert poorly

Top sellers with hidden revenue leakage

Top products may still be losing revenue

Organic clicks

12.6K

↓8.4%

Clicks lost

1.2K

↓15.7%

Top SEO issues

Ranking drops

156

CTR drops

128

Cannibalization

62

Dropped queries

186

↑6.2%

Traffic drop

1.2K

↓11.2%

Top Losing queries

keyword 1

-320

keyword 2

-146

keyword 3

-62

Identify ranking drops, CTR Issues, traffic losses, and keyword cannibalization that are holding site back in search results.

  • Top losing queries
  • Top losing pages
  • CTR, ranking, and traffic drop detection
  • Impression loss opportunities
  • Keyword cannibalization insights

Spot wasted spend, campaigns with no conversions, rising CPA, and low ROAS so you can scale what works and cut what doesn’t.

  • Spend with no conversions
  • CPA increase and low ROAS detection
  • Wasted spend by leak type
  • Campaign performance overview

Add spend

$2,654.18

↓6.4%

Conversions

156

↑6.2%

Wasted spend by leak type

ROAS

186

↓12.7%

Wasted spend

$412.34

↓11.2%

Campaigns with no conversions

Brand campaign

$174

Product campaign

$212

Location campaign

$26.34

Set up the eCommerce dashboard template in four easy steps without coding and graph or table configuration.

1

ga4 logo

Collect GA4 data

Ensure GA4 events and BigQuery export are set up.

2

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Collect ads data

Ensure Google Ads and BigQuery export is set up.

3

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Run analysis

Copy the provided SQL script and run it in BigQuery.

4

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Copy report

Open the Google Data Studio (Looker) template and copy it.

5

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Connect data

Connect to your BigQuery and explore insights.

data collection

Not ideal for:
Large online stores that need a fully custom BI system or businesses that want attribution modeling included.

In case you still have questions to ask.

The Leakonic Premium package includes a ready-to-use Looker Studio dashboard structure and BigQuery SQL logic for analyzing ecommerce revenue leaks across funnel steps, device performance, product issues, category issues, SEO performance, keyword cannibalization, CTR drops, ranking drops, traffic drops, and Google Ads budget leaks.

This ecommerce insights report template is designed for ecommerce businesses, SEO specialists, marketing teams, ecommerce managers, and agencies that want to turn GA4, BigQuery, Google Search Console, and Google Ads data into actionable optimization insights.

The package is built around GA4 BigQuery export, Google Search Console BigQuery data, and Google Ads BigQuery transfer data. Looker Studio is used to visualize the final tables created in BigQuery.

Yes. Leakonic Premium is designed for stores that already use, or are ready to use, BigQuery. The SQL logic creates structured reporting tables that are then connected to Looker Studio.

Basic BigQuery and Looker Studio knowledge is recommended. You do not need to write the SQL from scratch, but you should be able to replace project and dataset names, run SQL scripts, and connect output tables to Looker Studio.

It helps identify where users drop off in the purchase funnel, which devices lose the most revenue, which products get interest but fail to convert, which categories may have weak purchase intent, which organic search queries are losing clicks, where keyword cannibalization appears, and which Google Ads campaigns may be wasting budget.

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