Click on the listed features for details
Two components to predictive personalisation:
Ranking products based on in-session purchase intent: engine will sort search results and category listings in real-time based on a visitor’s unique in-session intent, using browser cookie or user ID. The intent is inferred from the area (context) of the catalogue in which the visitor is browsing during a single session.
Custom API calls are used most often for complex/messy data feeds or unique merchandising requirements.
All plans include the first 20,000 searches per month. Use the slider below to calculate the cost of additional searches. As the volume grows, so do the discounts.
We charge based on a combination of feature usage and search volume. All our plans include the first 20,000 searches per month. We only charge for completed searches and apply discounts as your search volume grows. We do not charge for bots, software updates or standard tech support.
No. Loop54 is SaaS (software-as-a-service), this means our engines our hosted in the cloud and new versions can be rolled out without any extra work or cost to our clients. To access some new features, some clients may need to implement new APIs.
Yes. Our standard SLA includes a Monthly Uptime Percentage (MUP) of 99.98%. All critical issues are addressed by the next work day. Non-critical issues are addressed within two work days (work day: Monday-Friday, 9-18).
A premium SLA is available should you require faster response times and/or percentage discounts if MUP goes below 99.8%.
Response times will be much faster than to filter on your end once the products are returned by the engine.
If you choose to filter on your end instead, then we would first have to return all the products in the search results and as a second step you would have to apply filters to that list of products prior to showing any results to the user. Doing this will add unnecessary latency.