Post by account_disabled on Dec 4, 2023 2:12:57 GMT -7
Publication date :October 31, 2017 Flipboard Reddit Pinterest WhatsApp E-mail A/B testing, personalization, machine learning… What practices are marketers implementing to optimize the user experience in 2017? To answer this question, Kameleoon has just published the results of its 4th annual user experience barometer conducted in partnership with the Hub.
Institute and the consulting firm Converteo. Main lessons from this 2017 barometer: A/B testing and the need for personalization now seem to be well-established practices among a majority of marketers: 60% of the Buy Bulk SMS Service sites surveyed practice A/B testing in 2017 and 1 site in 2 launches an average of 10 A/B tests per year 4 out of 5 marketers believe that personalizing the user experience is essential in 2017 In 2017, 50% of companies personalize the user experience of their visitors (up 38% in just 1 year).
To personalize, you have to know who you are talking to. Without customer knowledge, no personalization. However, given the quantity of data to be exploited, personalization is made more effective by correctly controlled algorithms to segment the audience: the more advanced visitor segmentation is, the more relevant the marketing actions are and the more the Customer Lifetime Value will increase. Machine learning frees up time for marketers to focus on their job, rather than on the time-consuming phase of collecting, consolidating, anomaly detection and segmenting visitor data – explains Mia Warde, Consultant at Kameleoon.
Institute and the consulting firm Converteo. Main lessons from this 2017 barometer: A/B testing and the need for personalization now seem to be well-established practices among a majority of marketers: 60% of the Buy Bulk SMS Service sites surveyed practice A/B testing in 2017 and 1 site in 2 launches an average of 10 A/B tests per year 4 out of 5 marketers believe that personalizing the user experience is essential in 2017 In 2017, 50% of companies personalize the user experience of their visitors (up 38% in just 1 year).
To personalize, you have to know who you are talking to. Without customer knowledge, no personalization. However, given the quantity of data to be exploited, personalization is made more effective by correctly controlled algorithms to segment the audience: the more advanced visitor segmentation is, the more relevant the marketing actions are and the more the Customer Lifetime Value will increase. Machine learning frees up time for marketers to focus on their job, rather than on the time-consuming phase of collecting, consolidating, anomaly detection and segmenting visitor data – explains Mia Warde, Consultant at Kameleoon.