Account Fit Scoring with MadKudu

With MadKudu's account-level Customer Fit scoring, you now have visibility on the fit of your Salesforce accounts. 🚀

Many companies are now moving to an account-level go-to-market motion where they'd need visibility on how good of a fit their target accounts are or the accounts they are bringing in through their inbound processes. This account-level MadKudu Fit score would be critical to give you that extra edge over your competitors in paying more attention to the high-fit accounts. 

What is the alternative?

Either have no visibility on whether you are talking to the right accounts, or roll up your lead-level scores to the account object.

There is a key challenge with the roll-up method. The roll-up method is basically propagating the highest score of the contacts in the account to the account score. Therefore, the account score highly depends on the nature of the contacts you have in that account. For example, if you only have an intern as a contact in the account the lead-level score rolled up to the account score for that account would be low, even if the account is a good fit.

How does this work?

This is an add-on to the lead-level MadKudu Customer Fit model that you would have subscribed to, but scores are based off domain-level firmographics and technographics data. The model will be trained on the same conversion as your lead-level fit scoring model.

What is the pricing like?

This will be an add-on to your MadKudu Customer Fit pricing that is variable according to your volume of leads. Contact your Customer Success Manager for more details.

How to enable this?

Contact your Customer Success Manager at support@madkudu.com to enable this add-on.

How long does the implementation take?

It takes less than a week to enable the account-level scores once you the red lines have been signed.

What fields do we need to create in Salesforce?

In the Salesforce account object:

1. mk_customer_fit_score__c: Type: Number, Precision: 18, Scale: 0
2. mk_customer_fit_segment__c: Type: "Text", Length: 255
3. mk_customer_fit_signals__c: Type: LongTextArea, Length: 1024, VisibleLines: 10
4. mk_customer_fit__c:

   CASE(mk_customer_fit_segment__c,
   'very good', IMAGE("https://cdn.madkudu.com/images/star.png", "Star", 20, 20) + IMAGE("https://cdn.madkudu.com/images/star.png", "Star", 20, 20) + IMAGE("https://cdn.madkudu.com/images/star.png", "Star", 20, 20),
   'good', IMAGE("https://cdn.madkudu.com/images/star.png", "Star", 20, 20) + IMAGE("https://cdn.madkudu.com/images/star.png", "Star", 20, 20),
   'medium', IMAGE("https://cdn.madkudu.com/images/star.png", "Star", 20, 20),
   IMAGE("https://cdn.madkudu.com/images/cross.png", "Star", 20, 20))