I had 80 electronics listings stuck at 3 percent add-to-cart and no idea which AI model would fix it
I sell refurbished smartphones, tablets and Bluetooth speakers on Jumia—mostly Samsung, Tecno and Infinix, the brands people in Nairobi actually search for when they filter by price. My shop's been live for eighteen months, and for the first year I wrote every product description myself: specs copied from the manufacturer PDF, a paragraph about condition, a line about delivery. Orders trickled in. Add-to-cart rate sat at 3 percent, which Jumia's seller dashboard told me was "below average," and I had no clue why someone would scroll past a Galaxy A14 in excellent condition at KSh 18,500 when the new one cost KSh 26,000 at Safaricom shops.
Then a friend who runs an Instagram beauty shop mentioned she'd started using Claude to rewrite captions, and her engagement doubled. I'd heard of AI writing tools but assumed they were for people with budgets and copywriters on retainer. She said she used something called Kryotta, that it had a Compare feature where you could test multiple models at once, and that the whole thing cost her less per month than a lunch meeting in Westlands.
I signed up that night. I had eighty listings that needed better descriptions, no idea which AI model was good at product copy, and two weeks before the end-of-month payday rush when half my sales happen. So I ran a test: same prompt, four models, side-by-side outputs, then A/B tested the results on live listings. Here's what I learned.
I wrote one prompt and ran it through Claude, Gemini, Llama and DeepSeek at the same time
Kryotta's Compare feature lets you enter a prompt once and see responses from four models in a grid. I picked Claude Sonnet 4.5, Gemini Flash, Llama 3.3 70B and DeepSeek V3 because those were the ones the interface suggested for "marketing copy," and I didn't want to spend an hour researching which model had the best BLEU score or whatever metric people argue about on Twitter.
My prompt was specific: "Write a 120-word Jumia product description for a [product name]. Include: why someone in Nairobi would choose this over a new model, two practical uses, one reason to trust a refurbished device, and a clear next step. Tone: helpful, not salesy. Assume the reader is comparing three listings and will bounce if the copy is generic."
I started with a Tecno Spark 10 Pro, 128GB, grade B (light scratches, battery at 87 percent health, twelve-month warranty). I pasted the prompt into Compare, added the product details, and hit generate. Four descriptions appeared in under ten seconds.
Claude's version opened with "You're looking at a phone that does what a KSh 35,000 device does, for less than twenty thousand shillings," then listed camera quality for Instagram stories and battery life for boda drivers who can't charge mid-shift. It ended with "Add to cart now; we pack same-day for Nairobi orders."
Gemini wrote tighter, more feature-forward copy: "6.8-inch display, 32MP front camera, 5000mAh battery. Perfect for content creators and small-business owners who need reliable performance without the flagship price. Refurbished by certified techs, tested across 40 points, backed by warranty."
Llama's description was the longest—140 words, technically over my limit—and spent half the space explaining what "grade B" meant. Helpful if someone's never bought refurbished, but I wondered if it would feel like too much reading when someone's scrolling on a phone during their lunch break.
DeepSeek gave me the most straightforward version: specs, condition, price comparison to new, one-line warranty mention, done. No story, no personality, just information. I wasn't sure if that was boring or refreshingly honest.
I uploaded the descriptions to twenty listings each and tracked add-to-cart rate for two weeks
I split my eighty electronics listings into four groups of twenty, matched by category and price range so I wasn't comparing a KSh 8,000 speaker to a KSh 40,000 tablet. Group A got Claude descriptions, B got Gemini, C got Llama, D got DeepSeek. I updated them all on a Sunday night, then watched Jumia's seller analytics for fourteen days.
Claude won on add-to-cart rate: 7.2 percent, more than double my original 3 percent. The descriptions that performed best were mid-range phones (Tecno, Infinix, Samsung A-series) where the copy leaned into practical scenarios—"battery lasts through a full day of WhatsApp Business calls" or "camera handles low light better than your friend's iPhone 11." People clicked through to reviews, then added to cart. I also noticed fewer questions in the listing comments; the descriptions answered the "but is it actually good?" worry upfront.
Gemini came second at 5.8 percent. Its tighter, feature-forward style worked well for tablets and Bluetooth speakers, where buyers already knew what they wanted and just needed confirmation that the specs matched. The descriptions felt professional, maybe a bit corporate, but they didn't waste words. One downside: Gemini occasionally used phrases like "optimal performance" that sounded like a press release, and I had to edit those out.
Llama hit 4.9 percent. The longer descriptions did better on higher-priced items—refurbished iPads, Samsung Galaxy S-series—where someone's spending KSh 50,000 and wants reassurance. But for budget phones under KSh 15,000, the extra sentences seemed to slow people down. I also got one comment asking if "certified techs" meant the same as "manufacturer-certified," which Llama's copy didn't clarify.
DeepSeek landed at 4.1 percent, barely above my original baseline. The descriptions were accurate and fast to read, but they didn't give anyone a reason to choose my listing over the six others selling the same Tecno model at similar prices. No personality, no "this is for you if," just specs. I kept a few for accessories—charging cables, phone cases—where people decide in three seconds anyway.
The cost per listing surprised me: DeepSeek was cheapest but Claude wasn't much more
Kryotta charges per token, and the Compare feature shows you the token count for each model's response before you copy it. I tracked how much it cost to generate descriptions for all eighty listings.
DeepSeek came in at roughly KSh 12 per listing. Fast, cheap, fine for bulk catalogue work if you're willing to sacrifice some persuasion.
Llama cost about KSh 18 per listing. The longer outputs added tokens, but not enough to make a budget difference unless you're generating thousands of descriptions.
Gemini and Claude were both around KSh 22–24 per listing. Given that Claude's descriptions drove an extra 1.4 percentage points of add-to-cart rate compared to Gemini, the ROI was obvious: spending an extra KSh 2 per listing to potentially double conversions is not a hard decision.
For context, I was paying a freelance copywriter KSh 150 per product description last year, and the quality was inconsistent. Even at KSh 24 per listing, Claude saved me KSh 10,080 across eighty products and delivered better results.
I kept using Compare for new listings because it's faster than guessing which model to pick
The test convinced me that Claude Sonnet 4.5 is the best model for Jumia product descriptions if you sell consumer electronics to Nairobi buyers. But I didn't delete the other models from my workflow. I still use Compare every time I add a new category—recently started listing smartwatches—because I want to see if Gemini's tighter style works better for wearables, or if DeepSeek's no-nonsense approach suits accessories.
Compare also caught something I wouldn't have noticed if I'd stuck with one model: Claude occasionally invents a feature that sounds plausible but isn't in the spec sheet. Happened twice—once it claimed a Tecno phone had wireless charging (it didn't), once it said a tablet supported stylus input (nope). Running Compare meant I could cross-check outputs against each other and spot the hallucination before it went live. Gemini and Llama got the specs right every time.
The other thing I like: I can test different prompt angles without committing to one. Last week I tried a version that opened with a question ("Tired of flagship prices?") versus a statement ("This phone does everything a KSh 40,000 model does"). Claude preferred the statement, Gemini worked better with the question. I ran both on ten listings each, and the question version won by half a percentage point. Small gains, but they add up when you're trying to hit Jumia's "Top Seller" threshold.
What I'd do differently if I ran this test again
I'd split-test Claude descriptions with different tones. The "helpful, not salesy" prompt worked, but I wonder if a slightly more urgent tone—"Only two left at this price"—would push add-to-cart rate higher during payday week. Compare makes it easy to generate three variations and test them on similar listings.
I'd also track time-to-purchase, not just add-to-cart. Jumia's analytics show when someone adds a product then buys within the same session versus coming back later. I suspect Claude's descriptions drive more same-session purchases because they answer objections upfront, but I didn't measure that in this test.
And I'd run the test over a full month, not two weeks. I happened to start mid-month, which meant the second week overlapped with payday (end of month in Kenya, when M-Pesa balances are highest and people actually buy instead of browsing). Claude's 7.2 percent might have been 6 percent without that timing boost. Still better than the others, but I want clean data.
Questions people ask
How long did it take to generate and upload 80 descriptions?
About four hours total. Ten minutes to write the prompt and test it on five products in Compare, then three hours to generate all eighty descriptions (I did them in batches of ten, checking for hallucinations and tweaking product-specific details), and another forty minutes to upload and format them in Jumia's seller dashboard. Faster than one day with a copywriter.
Did you change anything else on the listings, or just the descriptions?
Just the descriptions. Same photos, same price, same shipping options. I wanted to isolate whether the copy alone made a difference. (It did.)
Which model would you use for a WhatsApp catalogue or Instagram shop?
Claude, but with a shorter prompt—80 words instead of 120, and more emphasis on "sounds like a message you'd send a friend." WhatsApp and Instagram buyers scroll faster and trust personality over polish. Gemini's corporate tone doesn't work as well there.
Does Compare work if you're not selling electronics?
Yes. The feature doesn't care what you're selling; it just runs your prompt through multiple models and shows you the outputs. I've heard from someone in a Nairobi chama who used it to compare grant-application drafts, and a boda collective that tested SMS templates for rider check-ins. If you need to see which model handles your specific use case best, Compare gives you the answer in one session instead of four separate tries.
If you're sitting on a Jumia shop with descriptions you wrote in 2022 and an add-to-cart rate that hasn't moved, try Compare in Kryotta. Pick two models, write one honest prompt about what your buyer actually needs to hear, and see which output makes you want to click "add to cart" yourself. That's the one.
