The shopper knows the job, not the part number. The agent knows both.
Electronics and DIY shoppers search by problem, ask about compatibility and buy the accessory they forgot a week later. The agent answers from the catalog, finds the part and adds what the job needs to the basket.
- Search that understands the job, not only the SKU
- A chat that answers specs and compatibility from the live catalog
- Advised buyers spent 2.7× the average order on a DIY store
Problem first, part second, accessory last.
A DIY or electronics shopper types the job: a drill for concrete, a cable for this TV, a filter for that machine. Keyword search returns the catalog in the wrong order. The agent ranks by what fits the question and the shopper, and suggests from the first keystroke.
Then come the questions: will it fit, what else do I need, how long does delivery take. On a DIY store, buyers the chat advised placed orders 2.7× the average, and orders after a recommendation were nearly 4× the average, because the agent added the bits, the case and the second battery.
The chat reads the catalog's attributes and answers "does it fit" in the shopper's words. Recommendations add what the task needs, not what sells best in general. And reminders for blades, filters and cartridges go out per customer, timed from the order history.
What the agent did in stores like yours
Each result comes from one store, with its period and method on the page.
Buyers the agent advises spend 2 to 2.7 times more per order
On the DIY store, advised buyers placed orders 2.7× the average; the buyer rate for shoppers who used the chat was 7.7-9.5× higher.
Read the case study →Kids' fashion · EU4.9% of visitors, 27.5% of revenue
Search that suggests from the first keystroke, ranked per shopper: the pattern that makes technical catalogs findable.
Read the case study →Brands that buy on MetaThe half of your ROAS that lives on your site
For stores that acquire on Meta: make every visit worth more, so scaling spend does not shrink baskets.
Read the use case →Retail with heavy ad spendStop paying per click for customers you already have
Customers already emailable were 4.9% of ad clickers and 29% of revenue; email and push closed them instead.
Read the use case →Four jobs, tuned to electronics and diy
Search by the job
Suggestions from the first keystroke, ranked by what fits the question and the shopper.
Specs and compatibility
Answers from the catalog attributes and the order history, with a handover to your team.
The whole job in the basket
Accessories and consumables that the task needs, added before checkout.
Consumable reminders
Blades, filters and cartridges, timed per customer from the orders.
See which of last week's visitors you missed
Thirty minutes, with your store and ad accounts open. Then 30 days free. A holdout group decides: if the agent doesn't add orders in 30 days, you don't pay.
Book 30 minutes
You'll talk to one of us.