The AI Intelligence Behind PureClarity

If you have been considering implementing Ecommerce Personalization into your websites tech-stack, then here is why PureClarity is the perfect solution.

Why PureClarity?

PureClarity’s AI Driven Ecommerce Personalization Engine has been developed over the last 6 years by a team of dedicated development engineers,  data analysts, ecommerce specialists and qualified technical teams who specialise in AI within Ecommerce.

At its core, PureClarity is a powerful AI-driven personalization platform that allows you to give your visitors a personalized journey through your site. This increases online conversion rate as visitors find relevant products that they didn’t know they were looking for. It boosts average order value, as visitors discover the perfect paired products for their shop. And it raises revenue as your visitors are given the perfect reasons to shop – and to come back for more, in turn building customer loyalty and life-time value.

PureClarity collects data at every level of the user journey to personalize for visitors in real-time. The software learns about your visitors’ likes and dislikes as they interact, ensuring that every product and promotion they see is personalized.

What can PureClarity Do?

Ecommerce Personalization Increase Conversion, Revenue & AOV
Ecommerce Personalization Increase Conversion, Revenue & AOV

How Does PureClarity Do This?

PureClarity offers a combination of flexible personalization strategies.

PureClarity’s power stems from the flexibility of allowing you to choose to let the AI run all of your personalization, and offering you the option of manually enriching if you choose creating Personalized Campaigns to layer onto the automated AI for a truly personalized experience.


How PureClarity Works

PureClarity is built on AI (Artificial Intelligence) and Big Data technology. It collects data about every one of your visitors, tracking their interactions with you onsite and offsite to build up a picture of their behaviour, their dislikes, likes, interests and habits.

How PureClarity Works
How PureClarity Works

This information is then fed through Machine Learning algorithms in order to build a picture of customers behaviors. Data that is collected can be explored and drilled into. You can time slice and segment the information to get a deeper understanding of your visitors’ behaviour and the performance of your site.

As visitors arrive on your site, PureClarity will change the recommended products and strategies based on their behavior during that very visit dynamically in real-time. PureClarity will show recommendations that it knows have worked on other visitors to maximize the chances of the current visitor seeing relevant results and buying on that visit.

The Algorithms Behind Our Intelligent AI

PureClarity’s AI is as unique and as personal as your fingerprint.

With PureClarity, website visitors and customers experience a completely personalized and optimized recommendation strategy that changes in real-time as PureClarity collects more information about them, always optimized to maximize online conversion and average order value. One of the reasons PureClarity’s AI is successful is the fact that Big Data is so easy to process with PureClarity’s suite of intelligent algorithms.

Hybrid Algorithms

PureClarity AI uses a full suite of hybrid algorithms including collaborative filtering, pattern mining and Machine Learning algorithms to determine which recommender to present based on any dataset. This means that the large amounts of data are analyzed to find the optimal cross-sells and upsells based on what your customers have looked at, are looking at, previously bought, looking to buy right now and predicted to buy next.  Recommendations are highly personalized, change in real time and effective as the customer’s journey progresses.

AI Recommender Engine Algorithms

PureClarity’s AI Recommender Engine will never show two of the same recommender strategies on the same page and will work to minimize product duplication. Visitors can enjoy relevant, specific product recommendations without seeing any of the same content, guaranteed to increase your average order value and conversion rate.

Sparse Data Analysis Algorithms

PureClarity offers sparse data analysis enabling the AI to implement a content based filtering recommendation system which finds products with similar product properties within the core data set. This algorithm is highly effective to personalise recommendations for businesses with low customer data volumes.

An example of this is with Jewelstreet – a high end Jeweller who came to PureClarity looking for a personalization solution.  Jewelstreet have low data sets as their products are high end and purchases tend to one off or infrequent.  PureClarity’s content-based filtering recommendation algorithm works very effectively helping them to increased their total order value by 83% and tripled their average conversion rate in the last 6 months.  If a visitor looks at an emerald necklace on their store the AI can retrieve and recommend other products based on the title attributes in this case ‘emerald’ first as a high scoring unique term and necklace second which has a lower score due to the generic nature of the product title within the store.

“PureClarity provided us with cutting edge technology that fit our business needs perfectly. From the moment we joined, their support has been second to none. Through the onboarding process to everyday support, our questions have been answered quickly and thoroughly. Our suggestions and needs have been listened to and addressed. Now that we’ve had a chance to get set up, we’re looking forward to getting more and more out of the product.”

Ed Miles, Digital Marketing Manager, JewelStreet

Conditional Probability Algorithms

Within PureClarity there are also algorithms that work on Conditional Probability which ensures that recommenders do not include products which are bought on an extremely regular and frequent basis.   An example of this is seen with PureClarity’s client The Royal British Legion. Purchases on the RBL online shop almost always includes a Poppy Pin Brooch. Given that these items will almost always be included in the cart, PureClarity’s algorithm ensures that Pin Brooches are not boosted as much in Personalised Recommenders so that more meaningful relationships between products can be displayed.

Automated A/B Testing Algorithms

PureClarity’s AI engine continually runs automated A/B testing in the background, testing which strategy works best. If your customers respond best to cross-sells, PureClarity will favour those algorithms. If they prefer strategies which show more of the products that are popular on your site in real-time, PureClarity leans more towards that. Every recommender is optimized to be right for the customer, the page it’s on, and the overall trends on the site.

Don’t Just Take Our Word For It

PureClarity has a vast range of global clients both within the B2B and B2C markets, each seeing impactful results within a short time of using the platform.

Below is a testimonial from Cutwel and their experience of working with PureClarity. Cutwel are a B2B British owned business who puts their customers at the heart of their operation. They are one of the UK’s largest independent engineering tooling distributors.

PureClarity Testimonial

Interested in Learning More?

Interested in learning more? Get in touch and we’ll schedule a demo for a time that suits you. We’ll show you exactly how PureClarity works its magic, and you can ask all the burning questions you have about personalization.

If you like it. Share it.
Joanne Burman has over the last 12 years worked in the Ecommerce and Digital Marketing field across several B2C sectors including retail, healthcare and leisure, helping companies devise clear strategies to grow their online business.

From exploring new technologies to try and create a more tailored online shopping experience through to building customer and brand loyalty she has delivered growth targets in all her roles to date.

Jo, as well as loving her morning coffee, has a strong belief that data has become the new business currency and the more insight companies have into their customers behaviour the more they can tailor their marketing and eCommerce strategies to enable growth.