LiftIgniter is a machine learning personalization platform that helps enterprises improve the customer website experience. Its features include article recommendation, A/B testing, landing page builder, and more. In this article, we cover LiftIgniter reviews and pricing. Ready to get started? Visit its website.
LiftIgniter pricing is currently not published on its website. Prices for similar providers start at $15 to $50/month for basic A/B testing services; while enterprise plans range from $2,500 to $4,000.
Ready to get started with LiftIgniter? Visit its website.
Summary of LiftIgniter Reviews
As of the date that this article was written (May 21, 2019), there are not a lot of LiftIgniter reviews online. If you are a past or current LiftIgniter customer, leave a review below to help others who are deciding whether or not to use the product.
Top A/B Testing Tools Picks From Fit Small Business
6 Best A/B Testing Tools: A/B testing tools allow businesses to create multiple versions of a webpage and test them against target audiences. In this article, we compared LiftIgniter, Unbounce, Freshmarketer, Instapage, AB Tasty, and Google Optimize based on price, ease of use, testing capabilities, types of optimization, and more.
Check out the list below of some of LiftIgniter’s features:
- A/B testing
- Article recommendations
- Landing pages optimization
- Video recommendations
- Mobile recommendations
- Ecommerce website personalization
- And more
How can LiftIgniter help increase business revenue?
LiftIgniter uses AI-technology to identify what each shopper is looking for, then it recommends products that they might be interested in. It also delivers a brand new set of recommendations with every single interaction which could contribute to an increase in revenue.
How is LiftIgniter different from other A/B testing tools?
LiftIgniter personalizes the content being sent or shown to the customer based on the application programming interface (API). For example, if the customer prefers B even though A has proven to bring more conversions, the platform will still display B since it is more effective based on the overall individual preference of the customer.