Topic covered
CUSTOMER STORIES
How Boombay Increased AOV by 24.63% with Anphonic
Boombay partnered with Anphonic to optimize revenue through cart-led personalization, achieving a 24.63% increase in Average Order Value, influencing 40.74% of total orders, and generating 19.76% of total revenue through personalized experiences.
Results
24.63% increase in AOV through personalized experiences
40.74% of total orders influenced by Anphonic
19.76% of total revenue generated through personalization
81.07% of revenue driven by Cart Upsells
Use Cases
Strategic recommendations at the cart stage encouraged users to add complementary products just before checkout.
AI-driven discovery helped introduce users to additional products earlier in the journey.
Bundling & Add-ons supported incremental revenue without overwhelming the user.
Industry
Food & Beverages
Boombay is a modern snack and gifting brand offering indulgent, curated products designed for everyday treats and special occasions. With strong visual appeal and impulse-driven buying behavior, maximizing cart value is critical to growth.
Challenge: Increasing Cart Value in High-Intent Journeys
Boombay’s customers often exhibited strong purchase intent but tended to check out with limited items in their cart.
Unlike categories where discovery drives growth, Boombay’s challenge was centered around maximizing value at the final stage of the journey.
The brand’s key objectives were to:
- Increase AOV at the cart stage
- Encourage last-minute add-ons and impulse purchases
- Influence more orders through personalization
- Optimize high-intent user behavior
They needed a solution that could act right before checkout and drive immediate value uplift.
Strategy: Cart-First Personalization
Anphonic was implemented with a strong focus on cart-stage interventions, where purchase intent is highest.
By leveraging real-time behavior signals, Anphonic enabled:
- Smart product recommendations within the cart
- Timely nudges for complementary purchases
- Minimal-friction upsell opportunities
This ensured that users were encouraged to add more items without disrupting their checkout flow.
Key Approaches
Cart Upsells
Cart-based recommendations contributed 81.07% of total revenue, making it the most impactful lever.
Users were shown highly relevant add-ons at the point of purchase, driving immediate increases in cart value.
Product Discovery
Discovery-led recommendations contributed 10.09% of revenue, helping users explore beyond their initial selection.
Rebuy Product Recommendations
Returning users were shown relevant products based on prior behavior, contributing 5.58% of revenue.
Dynamic Bundles & Add-ons
While smaller in contribution, dynamic bundles and add-ons provided incremental revenue opportunities and improved overall basket composition.
Results: Measurable Impact
Within a short span, Boombay saw a clear improvement in purchase behavior:
- Significant AOV uplift driven by cart-stage interventions
- High order influence, indicating strong personalization effectiveness
- Increased revenue without relying on aggressive discounting
- Cart upsells emerged as the dominant revenue driver
The results highlighted the importance of optimizing the final step of the customer journey.
Impact: Maximizing Revenue at Checkout
Anphonic enabled Boombay to fully capitalize on high-intent traffic by transforming the cart into a revenue-driving touchpoint.
Instead of focusing heavily on discovery, the brand increased revenue by:
- Targeting users at peak purchase intent
- Encouraging impulse add-ons
- Keeping the experience seamless and non-intrusive
This resulted in higher cart values without disrupting the checkout experience.
Looking Ahead
With strong gains in AOV and order influence, Boombay is well-positioned to expand personalization into:
- Pre-cart discovery journeys
- Gifting bundles and occasion-based recommendations
- Repeat purchase and retention strategies
FAQs
1. Did Boombay rely on discounts for growth?
No. Growth was driven through cart-stage personalization and upselling.
2. Which feature contributed the most revenue?
Cart Upsells were the highest contributor, driving 81.07% of revenue.
3. Why was cart personalization so effective?
Because it targets users at peak intent, increasing the likelihood of additional purchases.
4. Can this strategy work for other brands?
Yes. Especially for impulse-driven categories, cart optimization is highly effective.
5. How quickly were results visible?
Results were observed within weeks of implementation.
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Over 10,000 Shopify brands use Rebuy to create personalized shopping experiences that reduce costs, save time, and drive sales
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