Pinpoint users that are more likely to add to cart, go to checkout or complete a transaction.
Open Accessible Easy-to-use
Clients using the shopping stage prediction model doubled their conversion rate after targeting hot users (>60% probability) identified by MorphL.
Cart abandonment can be drastically reduced by focusing on cold users (less than 40% probability) and incentivizing them to finalize their order.
We've seen an uplift of 45% on average order values for clients using the shopping stage prediction model to upsell to promising users (40-60% probability).
Team up with MorphL and get up and running (in minutes) with a shopping stage prediction model that maximizes the value you get from your customers.
Shopping Stage Cart Abandonment
Shopping stage model can be used in combination with cart abandonment model to identify undecided users and incentivize them to purchase by offering personalized discount codes.
Google Analytics and Facebook Ads can represent a powerful martech stack, especially in combination with the shopping stage model. It helps you track and optimize ads, build targeted audiences and remarket to users who signaled their intent to buy.
Google Analytics and Google Ads can be easily linked and in combination with the shopping stage model, it supercharges your ability to track and optimize ads, build targeted audiences and remarket to users that are more likely to buy.
BigQuery is a powerful Big Data analytics platform used by all types of organizations, from startups to Fortune 500 companies.
Add and update your own tags for conversion tracking, site analytics, remarketing, and more. Quickly deploy Google and third-party tags.
Mailchimp helps you design and share campaigns across multiple email and ad channels, integrate with services you already use, and track your results.