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Storefront analytics

Benefit from bespoke event reporting specific to running a box scheme

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We’ve integrated with PostHog to bring you GG Storefront analytics enabling you to analyse the behaviour of visitors to your site and tracking other elements of interacting with your site. This will provide you with actionable insights so you can work towards increasing visitors to your site and improve converting visitors to regular shoppers. This guide will take you through the different elements displayed in your Storefront analytics dashboard. This can be accessed through your data hub here.
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Website analytics track visitor behaviour to improve site performance and sales. GG Admin integrates with PostHog for enhanced storefront analytics with better privacy and control.

📊 Key Metrics on Your Dashboard:

  • Unique Visitors: Tracks individual visitors over time.
  • Browser & Device Data: Shows how users access your site.
  • Session Duration: Measures average time spent on-site.
  • Conversion Funnel: Tracks steps from sign-up to order confirmation.
  • Event-Based Activity: Monitors actions like adding/removing subscriptions.
  • Most Visited Pages & Recipes: Identifies popular content.
  • Traffic Sources: Details visits from search engines, social media, and ads.
  • Visitor Retention: Shows return rates over weeks.

What are website analytics?

Website analytics is ability to analyse the behaviour of visitors to a website by tracking, reviewing and reporting the data generated by their use of the site and its webpages. The aim is to provide insights that are actionable that can help you (the site owner) optimise your site for users and work towards increased traffic and sales.

GG Storefront analytics

We’ve integrated with PostHog an all-in-one suite of product and data tools which includes product and web analytics. This has helped us provide you with your storefront analytics dashboard which you can find in your data hub.

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Why PostHog and not Google Analytics?

We’ve integrated with PostHog rather than the big tech Goliath due to the ability to integrate into our app. This has enabled us to build a dashboard and add it within the GG admin, meaning it is easily accessible to you. PostHog also offers greater data privacy and control, more flexibility in event tracking and custom analysis which is especially important for businesses with strict data privacy regulations or those who want complete control over their analytics data. 

 

Your storefront analytics dashboard

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Your storefront dashboard contains the following elements:

Unique vistors

unique visitor represents a single, unique person visiting your site.

In other words, a single visitor will have many sessions as they return to your website. And each session will likely have many page views as they move from page to page. Your dashboard shows these unique visitors in the last 30 days in the line graph. Total number of unique visitors are shown for the last 7 days on the right hand side along with total number of unique visitors in the last 60 mins. You can use this data so see when your customers are most active on your site and link to other events that are taking place such as order deadline reminders and any email marketing you are undertaking.

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Browser

This shows you what browser any of your website visitors are using to browse the site broken down into a pie chart.

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Device

Shows you the split of devices used per a session in a pie chart.

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Session duration

This details the average time a visitor is on your website for. The average is calculated over the past 14 days.

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Conversion funnel

This shows you how a visitor is taken through the ordering process and how successful the conversions are (by %) as a visitor makes their way through the ordering process. The GG ordering process is based on one click ordering without a traditional checkout button. The three steps to a confirmed order are as follows: User signed up - This is where the shopper creates an account by adding details such as email address, postcode and password. Subscription added - the shopper has added something to their basket. Payment method added - The order is then confirmed if the shopper has a payment method added. This validates their shopping basket.

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Event based activity

This graph shows when different shopping behaviours are taking place on your site over the past 30 days. It will show the following events:

  • Subscription added
  • Subscription removed
  • User signed up
  • Payment method added
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Most visited pages

This details your most popular pages visited in the last 30 days. This is great for tracking how popular certain content are performing such as recipes and particular products.

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Unique visits by domain

This details how your unique visitors found your site for example through a particular search engine or social media platform. This is totalled over the last 30 days.

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All social media traffic

These graphs show you the unique visitors to your site that accessed the site through a social media platform. This is great for tracking how posts are performing as they can be linked to a particular date of a post. The total visits are also summarised in a pie chart showing you the percentage breakdown of visits from each platform.

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Paid for visits

This shows unique visits to your site that have found you through an online advertisement. The line graph shows the visits of the past 30 days linked to a particular UTM source and the pie chart totals the particular source.

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What is an UTM? A UTM (Urchin Tracking Module) code is a snippet of text added to the end of a URL to track the metrics and performance of a specific digital marketing campaign.
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Visitor retention

This visual displays the number of unique visitors to your site over a week long period and whether they return to your site again in subsequent weeks. This is calculated by percentage. This is for example a good way of considering whether new sign ups are coming back to the site after their initial visit.

 
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Most visited recipes

Recipes are a great way of creating fresh new content on your site and driving SEO. We’ve listed your most visited recipe pages over the last 30 days with the total number of visits.

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