What sets Segmentify apart?
Segmentify is an eCommerce personalisation platform that helps online retailers optimise their conversion rates by enabling them to deliver a unique shopping experience for each visitor.
Easy Integration & Onboarding
Just plug and play! Segmentify can be integrated with any online store in just 1 day by adding a single line of JS code – no IT team required. Personalisation campaigns go live on the 2nd day, and 10% additional revenue is generated within 2 weeks.
Our technology enables online retailers to recognize and engage with each shopper – one at a time, in real-time and at scale – to deliver the most relevant experience and make individualised product recommendations.
Excellent Customer Service
We are very keen on providing our customers with all the help they need. Our Onboarding and Customer Success teams are always ready to help and enable you to get the most out of the platform.
Not all heroes wear capes. Some offer a unique and real-time online shopping experience.
The initial idea for Segmentify was born out of Murat Soysal’s PhD study in machine learning. Our two Co-founders, Murat Soysal and Ergin Eroğlu had a simple but elegant vision for Segmentify. That was to employ machine learning and AI technologies to help eCommerce stores optimise their conversion rates. So here we are, 8 years later, with a team of 70+ people doing just that.
We do not accept the traditional “one-size-fits-all” approach to online shopping at Segmentify. Hence, we’ve built advanced algorithms that analyse each visitor’s behaviour and respond accordingly. Our goal is to engage each shopper individually to make sure they feel unique and special and thus, increase eCommerce conversion rates.
Our customers are more than satisfied with our services because Segmentify’s real-time approach to data analysis allows them to respond in the best way possible to the fluctuations they face. These fluctuations are either due to seasonality, campaigns, or changes in consumer taste. Whatever the reason, Segmentify picks up these differences and nuances in consumer preferences and uses this insight in real-time to further build on them.
25 Machine Learning Startups To Watch
Segmentify is named one of the top machine learning companies by Forbes. The list of 25 machine learning startups are based on an analysis of their ability to attract new customers, current and projected revenue growth, patents’ current value and potential, and position in their chosen markets.
eCommerce Personalisation and Analytics Leader
We’re delighted to announce that we’ve been named the leading eCommerce Personalisation and Analytics platform and the industry’s highest-performing eCommerce Search platform.
The idea for Segmentify is born, and later, BUBA becomes Segmentify’s Angel Investor.
Segmentify gets its first two customers, joins the Startupbootcamp Accelerator Program, and becomes a Microsoft Solution Partner.
Paris and Berlin offices are launched. Seed investment comes from ACT Venture Partners.
Segmentify gets in the Top 10 in Seedstars Global Competition. Dubai office is launched, Segmentify has more than 100 customers from 10 countries, and post-seed investment comes from ACT Venture Partners.
Forbes names Segmentify one of the top machine learning companies.
Personalised Emails and Personalised Push Notifications products are launched. In addition, Esor becomes an investor, London office is established, and the Shopify Insights App is launched.
Search Personalisation is launched.
Segmentify re-platforms with modern web technologies and high scalability (Segmentify V3). BigCommerce integration is introduced. Segmentify is an EY Entrepreneur of the Year Finalist.
Search Insights and Smart Segmentation are launched.
The eCommerce Growth Show is launched in four regions: The UK, Adriatic, Brasil, and the USA. Klaviyo integration is introduced.
Personalised Searchandising and Behavioural Targeting are launched.
The eCommerce Growth Show is now broadcasting in three new regions: Scandinavia, Benelux, and DACH. Segmentify is listed in G2 as eCommerce Personalisation and Analytics Leader.