Topic covered
CUSTOMER STORIES
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How 7-10 Increased AOV by 11.46% Through Discovery-Led Shopify Personalization
7-10 partnered with Anphonic to drive higher-value purchases through discovery-led personalization, achieving an 11.46% increase in Average Order Value, influencing 14.07% of total orders, and generating 10.28% of total revenue through personalized shopping journeys.
Results
11.46% increase in AOV through personalized experiences
14.07% of total orders influenced by Anphonic
10.28% of total revenue generated through personalization
71.11% of revenue driven by Product Discovery
Use Cases
AI-powered recommendations helped users explore relevant products, significantly increasing cross-category purchases.
Users were shown relevant products early in their journey, improving engagement and reducing decision fatigue.
Subtle cart-stage nudges encouraged incremental additions without disrupting checkout.
Smart bundles enabled users to purchase complementary products together, increasing overall basket size.
Industry
Fashion and apparel
7-10 is a homegrown Indian sneaker and apparel brand built around high-fashion design, Indian craftsmanship, and a strong identity within modern sneaker culture. The brand offers sneakers and apparel across men’s and women’s categories, making product discovery a key part of helping shoppers explore more of the catalog and build higher-value baskets.
Challenge: Driving Discovery in a High-Intent Catalog
7-10 operates in a category where shoppers often arrive with strong purchase intent but may not naturally explore the broader catalog. That creates missed opportunities to increase basket size through relevant product discovery, complementary purchases, and better in-session guidance.
This led to:
- Limited product discovery
- Lower cross-category exploration
- Missed opportunities to increase basket value
- Fewer complementary products added to cart
The brand’s key objectives were to:
- Improve product discovery across the catalog
- Increase AOV through relevant product suggestions
- Influence more orders through personalization
- Guide users toward higher-value baskets
They needed a personalization setup that could surface the right products at the right time, without interrupting the shopping journey.
Strategy: Discovery-Led Personalization Across the Journey
Anphonic was implemented with a clear focus on product discovery as the primary growth lever. Using behavioral signals across the shopping journey, the experience was designed to help shoppers discover relevant products earlier, continue exploring with context, and add more value at key decision points.
This included:
- Personalized recommendations throughout browsing
- Product sequencing designed to improve discovery
- Cart-stage nudges to encourage incremental additions
- Bundling logic to promote complementary purchases
- Exit-intent prompts to recover undecided shoppers
This ensured shoppers were consistently exposed to relevant products across discovery, cart, and exit stages of the journey.
Key Approaches
Product Discovery
Product Discovery contributed 71.1% of the personalization-driven impact, making it the dominant driver of growth based on the data shared. Features like Top Sellers and Recently Viewed helped users continue exploring relevant products, supporting stronger engagement and more cross-category consideration.
Smart Cart
Smart Cart created a stronger in-cart decision environment by surfacing relevant recommendations and subtle nudges at the point of highest intent. This helped increase basket size without adding friction to checkout.
Dynamic Bundles
Dynamic Bundles encouraged shoppers to purchase complementary products together instead of treating each item as a standalone purchase. For a catalog-led fashion brand, this helps turn product intent into higher-value basket building.
Exit Intent Pop-up
The Exit Intent Pop-up acted as a final recovery layer by reintroducing relevant products before a user dropped off. This gave SevenTen an additional personalized touchpoint to retain attention and drive incremental conversions.
Results: Measurable Impact
Within a short span, 7-10 saw clear improvements in order value and personalization influence:
- 11.46% increase in AOV
- 14.07% of total orders influenced by personalization
- 10.28% of total sales generated through personalization
- 71.1% of impact driven by Product Discovery
These results show that early-stage guidance played the biggest role in driving higher-value purchases. Rather than relying only on discounting, 7-10 improved performance by making product discovery more relevant and actionable throughout the journey.
Impact: Scaling Revenue Through Discovery
Anphonic enabled 7-10 to turn product discovery into a consistent revenue driver. By helping users explore more of the catalog, surface relevant products in context, and build stronger baskets through cart and bundle experiences, the brand created a shopping journey that was both more engaging and more commercially effective.
Instead of depending purely on promotions, growth came from:
- Guiding users toward relevant products earlier
- Encouraging broader catalog exploration
- Increasing complementary product additions
- Personalizing the path to purchase
Looking Ahead
With strong gains in AOV and discovery-led performance, 7-10 can extend personalization further into:
- Trend-based recommendations
- Merchandising by product preference and browsing behavior
- Seasonal or drop-based personalized collections
- Post-purchase and repeat purchase journeys
FAQs
1. Did 7-10 rely on discounts for growth?
No. Growth was driven through personalized product discovery, smart cart recommendations, bundling, and behavioral nudges across the customer journey.
2. Which feature contributed the most impact?
Product Discovery was the biggest contributor, accounting for 71.1% of the personalization-driven impact based on the data shared.
3. Why is discovery important for fashion and apparel brands?
Because many shoppers begin with intent around one item but need relevant guidance to explore related products, categories, and combinations that increase basket size.
4. Which Anphonic features were used?
SevenTen used Smart Cart, Dynamic Bundles, Top Sellers, Recently Viewed, and an Exit Intent Pop-up to create a more relevant and guided shopping experience.
5. What business impact did personalization have?
Personalization increased AOV by 11.46%, influenced 14.07% of total orders, and generated 10.28% of total sales according to the data provided.
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