Suggestion Choreography® is like our secret sauce: it’s possibly the most important part of our framework – so please forgive us if this blog post doesn’t satisfy your appetite for technical details!
In a nutshell, Suggestion Choreography® is our unique, patent-pending visitor context understanding technology. It uses what we know about the visitor and their situation, and decides what pre-set algorithms and filters (called ‘suggestion strategies’) will be used.
If you were a known visitor, we could do some very clever things with your profiled behaviour like changing the homepage and menu links to suit your needs. For totally new visitors, who have no profiled behaviour assigned to them, adapting menu links to show “Sandals” above “Trainers” might disrupt their journey.
Why do I need Suggestion Choreography®?
Not all visitors are the same. Let’s think about visitors to real-life bricks-and-mortar stores: some will be loyal, returning visitors, others will be totally visitors from out of town and others might just pop in because they’ve been told you sell what they’re looking for.
If you could, you would want to provide different types of visitors with different store layouts: loyal visitors would like the store set out in an obvious way (where you can earn extra money by psychologically placing more expensive items at eye level), whilst new visitors would like well signposted stores (where you can upsell impulse purchases).
Giving visitors different suggestions based on a visitor situations means that suggestions can be more relevant to the visitor at the time.
What does Suggestion Choreography do?
Suggestion Choreography®, in ecommerce, helps our recommendation engine and personalisation technology decide which algorithms and filters to use. An algorithm is what mathematics and behaviours we use to pick products, and a filter is used to squeeze down a massive list into just a few products – filters can be personal (e.g. ‘visitor’s favourite colour’) or business rule based (e.g. ‘only products under £5′).
How does it work?
When a visitor arrives onsite, we begin working out who they are and where they’ve come from. This can include things like how they have arrived, and if they are known.
Based on this information, the visitor session is directed to use a set of ‘suggestion strategies’ for that context. Here are some example:
- A previously known visitor arriving after searching for “Adidas Trainers” on Google would see product recommendations based on the search term ‘adidas trainers’, as well as known information as filters such as shoe size, preferred colour, in stock products only, etc.
- A new visitor, previously unknown, arrives straight onto a product page. Unsatisfied with the product, he clicks onto a category link. Using the details of the product, we can guess what other products he is interested in and use category page suggestions to put the right products in front of him.
How can I get it?
Suggestion Choreography® is at the heart of our technology, so whether you’re interested in our ecommerce recommendation engine technology PersonalMerchant or our IntentPredictionServer framework you’re sure to get industry leading technology at Software-as-a-Service cost.
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