Retina AI Blog

Once you’ve calculated CLV, you can use it to determine your target customer acquisition cost (CAC). Instead of simply targeting customers that bring in high…

You can take your annual discount rate and turn it into a daily discount rate, and apply a discount factor, which is: 1 / (1…

Typically, we compute the lifespan of every single customer using survival analysis. Once we’ve done that, you get a sense of what the longest life…

Recency, frequency, and monetary value (RFM) is a simple method to determine customer value. Retina models take into account data beyond RFM, including demographic and…

Retina works best with companies whose customers have repeat purchase behavior. This can include, but is not limited to: eCommerce, retail, CPG, financial services, healthcare,…

Possible outputs of Retina’s models are: Customer ID, As Of Date, Retina CLV (up to 15-year predictions), Lapse Probability, Retina Persona, Likely Next Transaction
, Typical…

Unlike “Buy ‘Til You Die” models, Retina’s CLV model can predict customer lifetime value at or before a prospect’s first transaction. To do this, we…

Retina’s customers typically receive early CLV scores for every customer within a month of starting a project. To begin, Retina conducts a data audit on…

Retina’s pricing is dependent on how many customers you have, how often those customers are scored, and the length of your commitment with Retina. Of…