The verdict in three sentences
Under 40 products, simple category navigation is enough; beyond that, the absence of search and filters kills conversion. A search engine with autocomplete plus price/category/availability filters can cut the time to find a product by 60%. On mobile, where patience is short, that speed converts directly into sales.
Category navigation vs search
The two are not opposed, they complement each other. Categories are for exploring, search is for finding a specific item. A visitor who knows what they want and cannot find the search bar often leaves in under 20 seconds.
| Criterion | Category navigation only | Search + filters |
|---|---|---|
| Time to find (catalog > 40) | 40-90s | 10-30s |
| Suited to | Discovery, inspiration | Precise purchase intent |
| Exit rate | High on large catalog | Reduced |
| Relative conversion | Baseline | +15 to +25% |
| Mobile effort | Many taps | Typing + suggestions |
Effective filtering patterns
Good filtering is visible, fast and reversible. Here are the patterns that work on mobile in 2026.
| Pattern | Role | Estimated conversion impact |
|---|---|---|
| Autocomplete (suggestions from 2 letters) | Guides to the right product | +10 to +18% |
| Price filter (slider or tiers) | Frames the budget | +6 to +12% |
| Category / brand filter | Reduces noise | +5 to +10% |
| Availability filter (in stock) | Avoids disappointment | +4 to +8% |
| Sort (price, new, popularity) | Orders by intent | +5 to +9% |
| Result count + clear filters | Reassures and frees up | +3 to +6% |
| Typo-tolerant search | Rescues typing errors | +5 to +10% |
Mini case study
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Mariama runs a cosmetics store in Dakar with 180 references. Before, without search, her visitors browsed 6 pages on average and her mobile conversion was 2.2% on 400 visits a day, about 9 sales. She adds a search bar with autocomplete, a price filter and a category filter. Average time to find a product drops from 70 seconds to 25 seconds, and her conversion rises to 3%, or 12 sales a day. With an average basket of 15,000 FCFA, those 3 extra sales per day add roughly 1,350,000 FCFA per month.
FAQ
At how many products do you need search? From 40 to 50 references, a search bar becomes profitable. Beyond 100, it is essential to avoid a high exit rate.
Is autocomplete worth the effort? Yes: by suggesting products from 2 letters, it can lift conversion by 10 to 18% and prevent no-result searches.
Should you handle typos? Absolutely. Typo-tolerant search recovers 5 to 10% of lost conversion when a customer types "shooz" instead of "shoes".
How many filters should you offer? Three to five essential filters: price, category, availability, and possibly brand or size. Too many filters paralyze the mobile visitor.
Is relevance sorting enough? Not alone: also offer price ascending/descending, new arrivals and popularity. Different buyers have different intents, and the right sort can add 5 to 9% conversion.
Let's talk about your project. We install fast search with autocomplete and filters built for mobile. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.