Take control of your PQLs with Score Thresholds 🚥 and Training Data Stats 📊

Correlated uniquely gives you maximum control over your PQLs and PQAs with Customer Lifecycle Scoring - You get to set the unique goal, choose the data that powers your AI models, and decide when and where to surface the scores to your team.

However, we are always aiming to make PQLs and PQAs even more accessible to growth teams! That's why we're releasing Score Thresholds and Training Data Stats.

Adjust Score Thresholds

Prior to this new release, scores were hard-coded by Correlated. Now, you can set the threshold on what a high, medium, and low score means! This means you can control how much pipeline you generate. Perhaps you want to only work the highest scoring leads because you have a small outbound team. On the other hand, maybe you want to more aggressively drive revenue by going after leads that have a good propensity to buy in addition to the highest scoring leads. Score Thresholds makes this possible.

The model will assign a predictive score on a scale of 0-100 to all of your leads. If you'd like to cast the net a little wider and capture additional users who are ready to convert, expand, or onboard, just tweak the thresholds.

More quality leads = more revenue!

View Model Training Data Stats

As we've said from the beginning, we want to completely do away with "black boxes" at Correlated. With our AI Scoring Engine, this means surfacing information about your training data and the results of the model. This includes correct vs incorrect predictions, training data volume, and recommendations to improve the model.

Get started today and explore how Customer Lifecycle Scoring can help your team.