What if you could understand exactly how your best customers behave before they buy? The Purchase Insight Report in Growth Suite analyzes every customer who completed a purchase and shows you their complete journey from first visit to final sale.

This data reveals the patterns of successful buyers, helping you optimize your marketing and store experience to guide more visitors down the same path.

How to Access Your Purchase Insight Report

Getting to your Purchase Insight Report is simple:

Open Growth Suite in your Shopify admin
Click “Reports” in the left menu
Click “Purchase Insight” on the reports page

Your buyer journey data will appear, showing you exactly how successful customers behave.

What the Purchase Insight Report Shows You

The Purchase Insight Report analyzes every customer who made a purchase and calculates averages across nine key behaviors. This gives you a blueprint of your successful buyer’s journey.

Metric	What It Measures	Why It Matters
Average Session Count	How many visits before buying	Shows how long the buying process takes
Average Duration from First Visit	Days between first visit and purchase	Critical for email and remarketing timing
Average Checkout Session Duration	Time spent in final checkout session	Shows checkout friction and decision time
Average Total Pageviews	Total pages viewed before buying	Indicates research depth and engagement
Average Total Product Pageviews	Total product pages viewed	Shows how much browsing leads to sales
Average Unique Product Pageviews	Different products viewed	Reveals consideration set size
Average Pageview of Purchased Product	Times they viewed the product they bought	Shows decision-making process
Average Time Spent on Product Pages	Total time reading product details	Indicates information needs
Average Add to Cart Event Count	Times they added items to cart	Shows comparison and hesitation patterns

How Your Buyers Actually Behave: Reading the Data

Let’s look at what different buyer patterns mean and how to interpret your data:

Example Buyer Profile Analysis

Sample Data:

Average Session Count: 3.2 sessions
Average Duration from First Visit: 4.5 days
Average Total Pageviews: 12.8 pages
Average Unique Product Pageviews: 6.3 products
Average Pageview of Purchased Product: 2.1 times

What This Tells You:

Your customers need about 3 visits over 4-5 days to decide
They research thoroughly, viewing 13 pages and 6 different products
They review their chosen product twice before buying
This is a considered purchase requiring nurturing

Optimizing Your Email Marketing Strategy

Design Email Flows Based on Buyer Timing

If Average Duration from First Visit is 4 days:

Day 1: Welcome email with best sellers
Day 2: Educational content about your products
Day 3: Customer reviews and social proof (critical timing!)
Day 4: Limited-time offer or urgency email (peak buying day!)
Day 5-7: Final reminder and last chance messaging

If Average Duration from First Visit is 10 days:

Extend your email sequence to 2 weeks
Add more educational content
Include comparison guides
Send check-in emails on days 5, 8, and 10

Segment Your Email Lists by Behavior

Use your Purchase Insight data to create targeted segments:

Quick Deciders (1-2 days to purchase):

Send immediate urgency offers
Focus on availability and fast shipping
Keep emails short and action-focused

Researchers (5+ days to purchase):

Provide detailed product information
Share customer stories and reviews
Send comparison guides and educational content

Optimizing Your Remarketing Campaigns

Set Remarketing Windows Based on Buyer Timing

Facebook/Instagram Ads:

1-3 days: Show browsed products with social proof
Day 4-5: Increase ad frequency with urgency messaging
Day 6+: Broader product range with discount offers

Google Ads:

Set remarketing lists to expire after your average purchase duration + 3 days
Create separate campaigns for recent visitors vs. older visitors
Adjust bid strategies based on how close visitors are to the typical purchase day

Create Custom Audiences Based on Engagement Level

High-Intent Audience (Mirror Your Buyers):

Visited 10+ pages (if your average is 12)
Viewed 5+ products (if your average is 6)
Spent 5+ minutes on product pages
Target with your best offers

Medium-Intent Audience:

Visited 5-9 pages
Viewed 2-4 products
Target with educational content and social proof

Optimizing Your Website Experience

Product Page Optimization

If customers view purchased products 2+ times:

Add comparison tables to help decision-making
Include size guides and detailed specifications
Add “Save for Later” or “Add to Wishlist” features
Show related products they might also consider

If time spent on product pages is high:

Customers want detailed information
Add more product images and videos
Include detailed descriptions and FAQs
Add customer reviews and Q&A sections

Navigation and Product Discovery

If customers view many unique products (6+):

Improve your product filtering and search
Add “Compare Products” functionality
Create better category navigation
Add “Recently Viewed” sections

If customers have many add-to-cart events:

They’re comparing options in their cart
Add cart saving functionality
Show product comparisons in cart
Send cart abandonment emails quickly

Advanced Marketing Strategies Using Purchase Insights

Content Marketing Alignment

Based on Average Total Pageviews:

High pageviews (15+): Create detailed buying guides, comparison articles, and educational content
Medium pageviews (8-15): Focus on product highlights and customer stories
Low pageviews (under 8): Create simple, visual content that drives quick decisions

Inventory and Merchandising

Based on Unique Product Views:

If customers typically view 10+ products, ensure you have good variety in each category
Stock alternative options for popular products
Create “Complete the Look” or “Bundle” offers
Plan for customers who need multiple options

Customer Service Preparation

Based on Checkout Session Duration:

Long checkout sessions: Add live chat during checkout process
Short checkout sessions: Focus on reducing any friction
Train customer service team on common decision-making questions

Using Purchase Insights for Different Business Types

Fashion/Apparel Stores

Typical pattern: High unique product views, multiple add-to-cart events

Focus on size guides and fit information
Add styling suggestions and outfit ideas
Create “Mix and Match” features
Offer easy returns and exchanges

Electronics/Tech Stores

Typical pattern: Long duration from first visit, high time on product pages

Create detailed specification comparisons
Add expert reviews and technical guides
Offer product demonstrations or videos
Provide warranty and support information

Home/Lifestyle Stores

Typical pattern: Multiple sessions, high pageview counts

Show products in room settings
Create mood boards and style guides
Offer design consultation services
Add room planning tools

Tracking Improvements Over Time

Monthly Optimization Metrics

Track these changes in your Purchase Insight Report:

Reducing average duration: Better urgency and decision-making tools
Reducing session count: Improved first-visit conversion
Reducing checkout duration: Streamlined checkout process
Optimal pageview patterns: Better navigation and product discovery

A/B Testing Based on Insights

Test changes that align with your buyer behavior:

If buyers view products multiple times, test adding “Recently Viewed” sections
If checkout takes too long, test simplified checkout flows
If buyers need many sessions, test exit-intent offers

Common Purchase Insight Patterns and What They Mean

Pattern	What It Means	Action Needed
1 session, same day purchase	Impulse buyers or very targeted traffic	Focus on immediate conversion tactics
5+ sessions over 2+ weeks	High-consideration purchase	Invest in nurturing and education
Many unique products viewed	Comparison shoppers	Add comparison tools and filters
High time on product pages	Detail-oriented buyers	Enhance product information
Multiple add-to-cart events	Cart abandoners or comparison users	Improve cart experience and recovery

Action Plan: Implementing Purchase Insights

Week 1: Data Analysis

Review your Purchase Insight Report
Identify your typical buyer pattern
Compare to industry benchmarks
Document your findings

Week 2: Email Optimization

Adjust email flow timing based on average duration
Create behavioral segments for different buyer types
Test new email content that matches buyer needs

Week 3: Remarketing Setup

Update remarketing audiences based on engagement levels
Adjust campaign timing to match buyer journey
Create ads for different stages of the journey

Week 4: Website Optimization

Improve product pages based on time spent data
Enhance navigation if buyers view many products
Optimize checkout if session duration is high

Conclusion

The Purchase Insight Report gives you a roadmap of successful buyer behavior. By understanding how your customers actually behave before they buy, you can:

Time your marketing messages perfectly
Create remarketing campaigns that match buyer patterns
Optimize your website for how customers actually shop
Build email flows that nurture at the right pace
Focus your resources on what successful buyers need

Remember: Every successful buyer leaves a trail of data. Follow that trail to help more visitors become customers.

Start today: Check your Purchase Insight Report and identify your typical buyer’s journey. Then adjust one marketing tactic to match this pattern and measure the results.

The Purchase Insight Report: Understanding Your Buyer’s Journey

Table of Contents

How to Access Your Purchase Insight Report

What the Purchase Insight Report Shows You