Find where visitors drop off and turn more of them into customers.
For online businesses losing people between landing and checkout. The system studies each step of your sales path, predicts where visitors are likely to leave, links it to likely causes, and ranks fixes by revenue.
For businesses unsure whether their prices or bundles are right. The system studies how different customer groups respond to price, tests offers carefully on small slices of traffic, and recommends what to try next.
For businesses unsure which page layout sells best. The system creates many layout versions within your brand rules and lets real visitor results decide which survive and combine.
For subscription businesses wasting discounts on customers who'd stay anyway. The system predicts who might leave and, more importantly, who will respond to a retention offer, so you only act where it matters.
For website owners who wonder how people really move through their site. The system groups common visitor paths, shows which ones lead to sales and which trap people in loops, and ranks navigation fixes.
For owners with a slow website and no idea which fix matters. The system links page speed to sales, shows what slowness is likely costing you, and ranks fixes by impact.
For online stores that lose buyers at the very last step. With visitor consent and every form field hidden, the system spots hesitation at checkout — re-reading shipping costs, hovering over security badges, going back to the basket — and suggests the reassurance that would help.
For businesses with lots of customer activity data and no analyst to read it. The system groups customers by how they behave, notices when a group grows, shrinks or changes, flags unusual spikes, and explains every change in plain words.
For businesses with many reviews, support tickets and survey answers that nobody has time to read. The system mines them for the doubts and wishes that stop people buying, ranks them, and shows which page sections should answer each one.
For online businesses selling across countries with one generic site. The system shows each visitor local currency, language, payment options and trust signals, and learns which local touches help people buy in each market.
For online businesses that find out about a broken checkout or a failing campaign days later. The system learns your normal sales pattern, alerts you quickly when something drops, and points to the likely cause — a website change, a campaign or one customer group.
For websites where valuable visitors hover over the price and then leave. The system notices hesitation, opens a helpful chat at that moment, answers from your own product information and learns which conversation style helps people decide.
For businesses paying for clicks that bounce straight away. The system compares what each ad promises with the page it lands on, shows which sources bounce because of a mismatch, and writes landing versions that keep the promise.
For businesses whose customers visit many times before buying. Only for logged-in or consenting visitors and using your own IDs, the system joins their visits into one journey, shows where decisions stall and suggests timely follow-ups.
For businesses that want to sell more online without invasive tracking. The system runs tests and simple personalisation using only aggregated, privacy-friendly signals and no third-party cookies, and documents every data flow for you.
Shoppers who find an item sold out can ask to be told when it is back. When stock arrives we let them know by email or text, only as many as you have in stock, and you get a weekly list of what people are waiting for so you can reorder the right things.
For websites and apps running experiments. We set up testing that stays valid even if you look at results every day, and uses each visitor's past behaviour to reach clear answers with less traffic, so you can stop tests early with confidence.
For online shops losing buyers at checkout. The AI studies how shoppers move through your checkout fields, page speed and cart steps, without recording screens, and ranks the friction points that actually push people to leave, so you fix the right thing first.
For online shops and booking sites where many shoppers leave with items in the cart. The AI scores each visit live for the risk of leaving, using page steps, cart value and stock signals, and triggers a well-timed nudge like help, a delivery reminder or an offer within your rules.
For online shops whose search box shows whatever matches the words, not what people actually buy. The AI learns from what shoppers click and purchase after searching and puts the products they are most likely to buy at the top.
Instead of a fixed number of free articles for everyone, we decide for each reader when to ask them to register or subscribe, using how your past readers behaved.