Description
CausalFunnel – The data science platform for eCommerce.
- Use Persona Predictors with Intent Mapping to boost your conversion.
- Combine Personas with Ad Spends to acquire new paying customers.
- Combine Personas with Ad Campaigns’ UTM parameters to improve conversion.
- Use Cookie-less, DeepID technology to know accurately your Return on Ad Spend metric.
- Deploy your ad dollars to the best performing channels/campaigns in real time using our ROAS Tracker + CausalFunnel’s A/B Test suite.
- Use the SEO toolkit to increase your landing page traffic organically.
- Use our DeepID based AiFunnel to get insights into the user journey and discover blockers to final purchase.
Customer Success Stories
- Our customers have used Persona Predictors to increase their number of orders significantly.
- Our customers have also significantly improved the number of leads generated using our Return On Ads Spend Tracking combined with Buying Intent Prediction.
- For detailed success stories and improvement numbers read our CausalFunnel blog.
Key Benefits
- Improve Conversion by Personas
- Combine Ad Spends with Persona Predictor to increase conversion & acquire new users. Grow organic traffic using Ads, SEO & Personas cheaply.
- Know Your Conversion Blockers
- Chart typical user path to checkout & Identify conversion blockers in the way. Use Data Science Insights & A/B Tests to optimize the funnel.
- Get Exact Return On Ad Spend
- Get an accurate tracking of your ROAS without storing Cookies. Solve broken Facebook Pixel, Google Analytics and more due to cookie deletion
check out how causalfunnel improve conversion
Screenshots
Installation
- Upload the
causalfunnel-datascience/
folder to the/wp-content/plugins/
directory - Activate the plugin through the ‘Plugins’ menu in WordPress
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Contributors & Developers
“CausalFunnel DataScience – Increase Conversion using AI and Data Science” is open source software. The following people have contributed to this plugin.
ContributorsInterested in development?
Browse the code, check out the SVN repository, or subscribe to the development log by RSS.