This case study is based on email marketing work completed for an agency client in the Australian outdoor adventure and multi-sport ecommerce industry. For confidentiality, the client name has been omitted.
The client sells outdoor, running, hiking, camping, and multi-sport equipment through an e-commerce store, supported by a physical retail location. Their customer base includes runners, hikers, campers, and adventure-focused buyers who often need specific product recommendations based on their activity, purchase history, and level of experience.
The main objective was to improve email marketing performance by increasing purchases, revenue, engagement, and customer retention through better segmentation, automated flows, and value-driven content.
This case study supports my broader experience across email marketing, ecommerce campaigns, analytics, and digital campaign reporting.
The client had a large and diverse customer base, which made email marketing more complex than sending general promotions to everyone.
Their previous email marketing setup faced several challenges:
Too many customer segments without a clear lifecycle strategy
Promotion fatigue from frequent sales-focused messaging
Missed opportunities in abandoned cart and post-purchase flows
Automation issues in complex customer journeys
Limited use of product-specific behaviour to guide follow-up emails
A need to improve purchases, revenue, and return from email marketing
The main challenge was to create email campaigns and automations that felt relevant to different customer types while still supporting sales growth.
The strategy focused on improving the client’s email marketing through lifecycle automation, smarter segmentation, value-led content, and better ecommerce product recommendations.
Instead of relying only on broad promotional campaigns, the approach was designed to deliver more relevant emails based on customer behaviour, product interest, purchase history, and buying stage.
The work focused on three main areas:
Improving automated email flows
Balancing promotional and value-driven content
Using product and customer data to increase relevance
The automated flows were reviewed and improved to better support the customer journey from browsing to purchase and repeat buying.
This included:
Improving cart abandonment flows
Adding more context to abandonment emails
Using dynamic product content in emails
Highlighting key buying reassurance points
Improving post-purchase flow logic
Reducing conflicting offers across automated journeys
For example, abandoned cart emails were improved to better show the products users had left behind while also addressing common buying concerns, such as sizing, returns, or product suitability.
The email strategy also focused on increasing repeat purchases by mapping product relationships and likely customer needs.
This included:
Cross-selling related products after purchase
Recommending accessories based on previous orders
Creating follow-up opportunities for products with a repeat purchase cycle
Promoting complementary items such as socks, accessories, care products, or updated product models
This helped the email channel support customer retention, not just first-time purchases.
To reduce irrelevant messaging, conditional logic was used to make automated emails more appropriate to the customer’s behaviour.
This included:
Preventing customers from receiving unnecessary discount offers after full-price purchases
Segmenting users based on behaviour and purchase history
Improving message relevance across automated flows
Avoiding overuse of broad promotional emails
Supporting a more personalised email experience
This helped reduce promotion fatigue while protecting the brand’s premium product positioning.
The newsletter and campaign strategy were adjusted to balance sales content with genuinely useful content for the audience.
The goal was to avoid making every email feel like a discount or sales push. Instead, content was shaped around both product interest and outdoor lifestyle value.
This included:
Educational content related to outdoor activities
Product care and buying advice
Activity-based recommendations
Seasonal outdoor tips
Product highlights tied to customer interests
A stronger balance between value-led content and sales campaigns
This helped keep the audience engaged while still supporting revenue goals.
Dynamic product feeds were used to make email content more relevant to each customer.
This included:
Showing products based on browsing behaviour
Featuring recently viewed items
Supporting personalised product recommendations
Increasing the chance of clicks from users already showing purchase intent
This helped make emails feel more relevant and improved the opportunity to bring customers back to the website.
The email marketing work was supported by:
SmartrMail
Automated Flow Builder
Smart Segmentation Tools
Sales Tracking and Analytics Dashboard
Google Analytics 4
These tools helped manage campaigns, improve automated flows, segment audiences, track email sales, and review email channel performance.
The email marketing work contributed to stronger engagement, purchases, and revenue performance.
Over the last 365 days, the email platform recorded:
793 email orders
$146,631.55 in email sales
57,793 emails sent
38,958 profiles contacted
66.9% open rate
12.92% click rate
1.67% conversion rate
These results show that email became a meaningful revenue channel, supported by strong engagement rates and a large volume of attributed email sales.
From June 28, 2025 to June 28, 2026, compared with the previous 12-month period, GA4 showed improved email channel performance:
166 purchases, up 55.14%
$30,499.19 in email revenue, up 51.49%
1.79% session key event rate, up 56.35%
13.25 events per session, up 1.5%
Although GA4 and SmartrMail use different attribution methods, both platforms showed that email marketing contributed to stronger sales and revenue performance.
This email marketing project showed how ecommerce email performance can improve when campaigns are built around customer behaviour, lifecycle timing, and product relevance.
By improving automated flows, refining segmentation, reducing promotion fatigue, and using dynamic product recommendations, the client achieved stronger email engagement and meaningful growth in purchases and revenue.
For an outdoor adventure e-commerce brand with a diverse customer base, the most effective approach was not simply sending more emails. It was sending more relevant emails at the right stage of the customer journey.