Customer Lifecycle

use the customer lifecycle tab to gauge how sticky your customers are and reengage customers that aren't purchasing as frequently as they once were leaky bucket t he ratio of new customers vs customers that are likely gone if likely gone is greater than new , focus on win back and retargeting efforts to get those customers back to an active purchasing habit the likely gone data populates faster than the new you may need to subtract a day or two of likely gone to get a more accurate number customers won back t he number of customers that became active again from being likely gone lifecycle distribution a iq segments customers into different stages of our lifecycle distribution chart depending on how much time has eclipsed from their first two tracked purchases if your active customer base decreases over time, consider win back campaigns targeting audiences built around chilling, absent, & highly absent customers customer lifecycle stages are calculated based on each individual's engagement and purchasing patterns this makes their lifecycle stage placement unique to their habits create this audience using these traits contact trait / lifecycle stage / contains / \[lifecycle stage]