Understanding Qualification Scores

  • Updated

Qualification Score is derived from a machine learning model that is trained to identify which accounts look most similar to your past customers. It considers various factors such as account firmographics, technographics, and intent signals to define an ideal customer. Demandbase scores your accounts from your CRM and CSV, along with the 55 million accounts in the Demandbase database. By focusing on accounts with high qualification scores, you can strategically prioritize accounts that most fit your ideal customer profile, regardless of where they are in the buyer journey.

See Set Up Qualification Scores to configure your Qualification Scores.

You can also set up multiple Qualification Scores according to account fit and interest in your different product offerings. See Understanding Multiple Predictive Scores for more information.

Important: Only Accounts with a domain get a Qualification Score. 

Quick Facts

Score
  • >=95: Highly Likely
  • >=50 and <95: Likely
  • <50: Unlikely
Initial Model Build Time 24 hours
Model Re-Training Time

24 hours. See Retrain Qualification Scores.

Score Update Static (The qualification score criteria does not change frequently.)
Customer Connection Modes
  • Connected Mode (Integrated with Marketing Automation System (MAS) and CRM) - Full Scoring Capability
  • CRM Hybrid Connected Mode (Integrated with CRM) - Full Scoring Capability
  • MAS Hybrid Connected Mode (Integrated with MAS) - Requires a CSV file upload with accounts
  • Disconnected Mode (Not integrated with MAS or CRM) - Requires a CSV file upload with accounts

Factors Used When Calculating the Qualification Score

Demandbase uses the data in the following table:

Accounts

Set of 50 or more accounts. For best results, we recommend using 100 or more of past and current customers.

Firmographics

Uses country, industry, revenue range, and number of employees.

Technographics Uses the current tech stack of your Customer or Target Account lists.
Historical Intent

Uses past one year of intent.

Accessing Qualification Score Results

After an Administrator configures the Qualification Score, you can access the Qualification Score results.

See Understanding the Account List Dashboard

Retrain Qualification Scores

Update your Qualification Score models by retraining them to use the latest account profile patterns.
Important:

  • Scores must be retrained at least once a year to make sure the model refreshes daily using historical data available in Demandbase.
  • To increase score accuracy, we highly recommend enabling the Auto Retrain option.

You can retrain Qualification Scores using the following options:

  • Auto retrain (recommended): Demandbase automatically retrains the Qualification Score every 6 months. If you edit and retrain a model, the auto retrain schedule starts on the date you retrained the model.
    Tip: To auto retrain Qualification Scores, from the left navigation bar, go ad7f025d-0f68-4490-86fa-7968c9ddcbd6 Settings > Predictive Score Setup. Click the name of a Qualification Score and click the Configure tab. Toggle on Auto Retrain to enable the auto retrain feature.
  • Manual retrain: Admins manually retrain the Qualification Score. We recommend retraining Qualification Scores every 6 months.
    Tip: To manually retrain Qualification Scores, from the left navigation bar, go ad7f025d-0f68-4490-86fa-7968c9ddcbd6 Settings > Predictive Score Setup. Click the name of a Qualification Score and click the Configure tab. Make edits and click Save and train model.

Setup QS.png

 

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