How does our recommendation system work?
Goava AI-Recommendations
By understanding what customers and companies that are being processed in your CRM system, Goava Discover power is to identify patterns by analyzing the type of company you sell to. We analyze based on industry, revenue, growth, number of employees, profitability, what web techniques they use, what roles they recruit and specific keywords from their websites are just a few of all the factors that are evaluated in order to recommend which companies you and the entire sales team should process.
Goava Score
The companies are then ranked and given a Goava Score. The recommendations are personal and may vary because of how you interact with the platform and what type of customers each individual salesperson closes. In that way, you will automatically customize your platform and optimize your leads according to your customer fit. Great, isn't it?
Goava fit
The Goava fit box helps you understand the Goava Score and gives you personalized insights about the company. It highlights what characteristics that are similar to your customers in the green box and the red box gives you a heads up on things that are uncommon among your customer base.
You can also manually improve your recommendations by muting certain dimensions or labels.
Let's look at an example:
If it doesn't matter how many employees the company have, you can easily hover over Employees in the Goava Fit box and click to remove recommendation boosts.
Here you have two choices; Remove boost for 5+ employees or remove employees dimension boost completely.
After clicking remove employees dimension you get a popup informing about how it will effect the recommendations and the Goava score.
Contact us if you want to know more or want to share some feedback!