USING OUR PERSONALIZED RECOMMENDATIONS
Our clients see a 2 to 33% boost in revenue after going the Nuukik way
More than 500 000 000 recommendations are generated each months
Nuukik’s personalized product recommendations enable your customers to find what they’re looking for with ease, regardless the retail channel.
Our predictive AI algorithm generates adaptive recommendations based on your customers’ behavior.
You will increase sales thanks to our innovative technology which automatically displays targeted products based on each customer’s unique profile.
You will save valuable company time with automated merchandising.
Our unrivaled predictive marketing technology has been developed in collaboration with internationally renowned mathematicians, many of whom are recipients of international awards from Adobe, Yahoo, and Orange for their work in the field of system recommendation software.
Our collaboration with INRIA has received widespread recognition for the results of our software engine, most recently winning the CRM Award at Paris Retail Week.
Our innovative software solutions have been tested and proven to be more effective than competing solutions.
Our self-moving technology automatically analyzes consumer behavior, including individual purchasing habits, grouped product purchasing, and consumer purchasing frequency.
The software engine provides real-time product recommendations based on customer- and product-specific data, as well as the context of the purchase.
Our personalized recommendation technology won the Gold Award for Best Data Analysis at the 2015 Connected Commerce Night in Paris, France.
Automate promotions to boost sales and market competitiveness with the support of our recommendation technology.
We use personalized consumer data to automatically match product recommendations with eligible promotions based on purchasing context.
Set your own promotional parameters and criteria to be in line with your marketing strategies.
This feature of our software was a finalist for the 2014 e-Commerce Award in Customer Loyalty at Paris Retail Week.
Personalize your email campaigns with the power of product recommendations. Perfect for all types of emails: relational (newsletters), transactional (order confirmations), or situational (abandoned transactions).
According to Experian, personalized emails and promotions produce 41% more clicks than traditional email strategies.
Context is key–recommendations can be customized according to the context and to tie in with your overarching business strategy.
Recommendations can be customized according to:
- Customer profile
- Business objectives
- Forced associations
les problématiques se multiplient et se fondent
pour générer de nouveaux challenges.
Multiplication des canaux et apparition de nouvelles pratiques d’utilisations.
Variété des attentes, évolution des pratiques et des comportements de consommation.
Conciliation complexe entre stratégie marketing, paramètre d’activité et exploitation de données.
Your projects are in the best hands. At Nuukik, we consider your unique business needs in light of our experience delivering more than one hundred integrations.
Whatever your operational needs may be, we’ll integrate your project using our unique tested and proven methods.
Our solution is adaptable to the size and needs of your business with a usage-based billing system that won't step on the toes of your sales planning.
An entire range of optimization services is available through the Nuukik team and partner networks to help fulfill your varied needs.
We much appreciated the responsiveness of the technical team, as well as their flexibility to adapt the platform to our specific requests. The recommendation engine respected the progression of our product range and naturally adapted to the particular issues of our brand. We've observed an increase in the average order size, as well as considerable time saved for our marketing team.
Since having implemented the Nuukik solution, 18% of our site's turnover has come as a result of personalized recommendations. From the beginning, the solution has been very profitable for us.
Implementation was quick and simple, thanks to Nuukik's highly reactive and dedicated team.
Nuukik has supported Bébégavroche by being attentive to our requests, which are quite industry-specific. Their team has worked closely with us to make sure all of our technical issues are resolved and that our customers are receiving personalized offers that are truly relevant to them.
Integrating the Nuukik solution on our site was a smooth and quick process for us. Their team of consultants were able to successfully adapt the platform to the particularities of our E-commerce shop. I would recommend Nuukik to anyone.
An added sense of comfort and an indespensible tool for our business today. I find it surprising that there are still e-commerce sites out there who rely on manual merchandising. Nuukik makes it possible for us to save time by customizing product offers to our customers. In addition, the Nuukik team has done a great job at making themselves available to us in order to deeply understand to our needs.
Nuukik is the best kind of startup: a great team, that is attentive, doesn't hesitate to adapt their tools when necessary, and who have managed to create a simple and effective solution to facilitate the management of cross-merchandising in a cost-effective manner.
Following an efficient and customized implementation of the solution, we were immediately able to observe the amount of time we were saving thanks to the automated processing of similar and complementary products perfectly in line with our expectations. This long-term upgrade enabled us, as we had hoped it would, to lower our bounce rate of visitors to our online toy shop, thus achieving a more efficient e-commerce site.
Nuukik's recommendation engine combines performance, flexibility, and simplicity. Once we had the solution in place, we were able to signficantly improve customer experience at Techni-Contact. We managed to achieve a 5% conversion rate, one of the highest among all our acquisition channels.