Involve.me's built-in analytics engine tracks 23 key metrics in real-time, including question abandonment rate, average dwell time, field completion deviation, etc. The system uses machine learning algorithms to identify process bottlenecks. The system uses machine learning algorithms to identify process bottlenecks, such as prompting simplified question setups when a sudden increase in the fifth question's churn rate is detected.The A/B testing module supports running 8 combinations of variables simultaneously and automatically calculates statistical significance.
A B2B enterprise analyzed the data of the calculator tool and found that the acceptance rate of the offer was increased by 41% after adding the service case video.The platform also provides data lake docking solutions, so that the enterprise can export the original behavioral data to Snowflake and other systems for in-depth mining. All reports support automated timed push to meet team collaboration needs.
This answer comes from the articleinvolve.me: an online tool for creating interactive content to boost conversionsThe
