How PP Graphene Reached a 100x Upsell Revenue on Shopline with Zotasell

A massive product catalog is a dream for every e-commerce store, but only if customers actually buy from it. For PP Graphene, their large catalog of sports and wellness gear was hiding a major problem: a flatlining upsell rate.

Traffic was high and conversions were steady, but revenue was deeply underperforming. 

Their problem is that customers would buy the exact knee sleeve they clicked an ad for, and nothing else. Buyers simply won’t spend time clicking and checking on other items. 

Because of this, most of PP Graphene’s catalog was collecting digital dust, and cart sizes stayed small.

To fix this, they integrated Zotasell into their Shopline store.

By placing smart upsell recommendations right where the customer was already looking, they removed the friction of searching. 

The result was a compounding revenue engine that finally unlocked their catalog’s hidden value. Here is exactly how they built it, and how they shattered their previous revenue records by March 2026. 

TL;DR:

Check out the below summary table to see the impressive number PP Graphene drove in 3 months with Zotasell AI Upsell.

Metric	Growth (January → March)
Impressions	+34.5%
Clicks	+27.4%
Upsell Orders	+51.6%
Upsell Items Sold	+54.4%
Upsell Revenue Growth	100x+ by March 2026

About PP Graphene

PP Graphene is a fast-growing sports and wellness brand in Taiwan. They sell premium compression gear and joint braces that effectively help women shape their body and posture.

Because of how their products work, they are designed to be bought as a set. For example, a customer buying a back brace usually needs the matching knee support as well.

While their Shopline store gets great traffic, the brand faced a major hurdle. Shoppers were only buying one thing at a time. The natural product pairings that should be bought together doesn’t work. 

The team knew they were leaving money on the table. They needed an automated way to show the right product pairings to buyers while they were shopping. To solve this, they integrated Zotasell in their Shopline store. 

3 Challenges PP Graphene Had to Solve

Knowing they needed an automated tool was only the first step. To actually fix their broken customer journey, PP Graphene had to confront exactly why their massive catalog wasn’t translating into bigger carts. 

Customers only buy one item at a time

For a fast-growing brand like PP Graphene, getting traffic wasn’t the issue, the problem was what happened once shoppers arrived. 

A customer might buy a graphene-infused back belt for lower back pain, but they rarely clicked around the site to find the matching posture-correcting top. 

Customers were never automatically shown the matching gear, they checked out completely unaware that the perfect pairing product even existed. 

Lack of automatic recommendation system

Why weren’t shoppers finding those matching products? Because the buying journey was a straight, static line. 

A customer looked at a knee brace, added it to their cart, and checked out. There was no natural, automated “tap on the shoulder” to suggest complementary gear. 

The PP Graphene team tried hand-picking “you might also like” items, but manually updating these links across a massive catalog was exhausting and impossible to scale. 

Winning the research-driven customers

Even if they automated the suggestions, PP Graphene faced one final problem: their audience.

Taiwanese wellness consumers aren’t impulse buyers. They check the materials, read the specs, and research heavily before buying premium sports gear. 

For an upsell to actually work, it couldn’t feel like a pushy sales pitch, it had to feel like genuinely helpful advice. 

Recommending a random, irrelevant product would instantly ruin that hard-earned trust. The brand needed a tool smart enough to show the exact right product at the exact right time.

How PP Graphene Used Zotasell to Drive Growth

PP Graphene needed a smart engine that understood their products fast and effectively. Here is how Zotasell’s AI features adapted to the store, turning missed opportunities into compounding revenue.

Seamlessly Integration of Zotasell’s AI Product Page Upsell

The first step was recommending the right product right where the customer makes their decision. Zotasell’s AI Smart Recommendation used smart logic to map the natural relationships inside a massive catalog.

Instead of showing random items, the AI acts like an expert guide. If a customer views a back brace, Zotasell automatically surfaces the matching recovery belt right on the page. 

Since Taiwanese consumers spend time researching specs, Zotasell puts these suggestions exactly where their attention already is. 

It doesn’t interrupt them with a pop-up; it seamlessly answers the question, “What else do I need?”

Last Upsell Step with Zotasell’s In-Cart Recommendation

If the product page is for research, the cart is for commitment. Zotasell’s Cart Upsell feature adapts to this shift in buyer psychology.

Once a customer adds an item to their Shopline cart, the barrier of spending money drops. They are ready to buy. Zotasell’s AI then activates a second round of recommendations right before checkout.

If a shopper missed the matching gear on the product page, Zotasell gives them one final, highly relevant item. 

By making it completely frictionless to add an extra item, the AI captures high-value sales exactly when the customer is most likely to say “yes.”

The true strength of Zotasell isn’t just recommending products, it’s that the AI gets smarter over time.

Zotasell took less than 3 months to know exactly which product pairings converted best for PP Graphene’s specific audience.

When a high-traffic promotional period hit the store, this fully trained AI was ready. The results were explosive. 

Because the recommendations now fit the actual buying habits, upsell orders spiked to 582 in a single month. This proves what happens when surging traffic meets a continuously learning AI: the results don’t just add up, they multiply.

The Results: Revenue Growth That Tells Its Own Story

The AI engine was running, but the real proof is in the data. 

Over three months, Zotasell didn’t just slightly increase cart sizes, it shifted PP Graphene’s baseline revenue without the brand spending a single extra dollar on customer acquisition.

Upsell Orders: +51.6% Growth

From January to March 2026, upsell orders saw a massive 51.6% increase. Because this revenue came entirely from existing store traffic, every extra sale was highly profitable. 

Even better, buyers weren’t just taking one extra item; they averaged 1.18 upsell items per order, proving the shopping baskets were growing deeper.

CTR Growth by ~9.96%

That massive order growth was driven by extreme relevance. Over the three-month period, Zotasell’s suggestions maintained a phenomenal ~9.96% average Click-Through Rate (CTR). 

That means roughly 1 in 10 shoppers clicked the upsell. Incredibly, this near 10% CTR held steady even as total impressions grew by 34.5%. It can be easily seen that AI maintained high recommendation quality even as store traffic scaled.

A Revenue Breakout in March

After 3 months of using Zotasell’s upsell The ultimate payoff arrived in March. The first two months allowed the algorithm to refine its pairings, leading to an explosive revenue breakout in March. 

The data confirmed that the dual-placement strategy worked flawlessly: the Product Page drove the raw volume of clicks, while the Cart placement locked in higher-value additions. 

FAQs for Shopline Merchants

Which upsell placement works best – product page or cart?

Both serve different purposes. Product page drives higher volume, while cart placements close higher-value additions. Run both simultaneously for the strongest combined result.

How long does it take to see meaningful upsell results with Zotasell?

PP Graphene’s first two months established baselines and refined recommendations. March was where the breakout happened. It’s commonly less than 3 months to see the result.

Will adding upsell recommendations hurt my base conversion rate?

For most stores, no. PP Graphene’s data shows a consistent ~10% CTR across growing impressions suggests buyers found the recommendations genuinely useful – not disruptive. 

What kind of products benefit most from Zotasell upsells on Shopline?

We suggest Shopline brands that have catalogs with natural functional pairings, like sports recovery gear. If your products logically complement each other (e.g., buying X naturally means needing Y), Zotasell’s recommendation logic will surface that relationship effectively.

Do upsell results improve over time, or plateau quickly?

They compound. As Zotasell accumulates real purchase behavior data, recommendation accuracy improves. PP Graphene’s 54.4% growth in upsell items across just three months reflects a system that gets sharper with use, not one that peaks early.

Ready to Scale Your Shopline Store?

PP Graphene had the traffic, the products, and the customers, but they were leaving massive amounts of revenue on the table simply because they weren’t connecting the dots for their buyers. 

By integrating two smart, AI-driven touch points, they transformed single-item buyers into a compounding revenue engine.

If your Shopline store is facing the same problems, or struggling with matching Taiwanese buyers’ buying behavior, check the Umbrella King case study out to see your solutions. 

Let’s join 500+ Shopline merchants and install Zotasell to start scaling your revenue today!