Insights are only as powerful as your ability to act on them. With our new Analytics Suite capabilities, you can now take analytics outputs as an optimization model and apply them directly to your campaigns instantly.

No manual translation. No workflow gaps. Just seamless activation.

The Custom Model tab, available at both the Campaign and Line levels, brings your models directly into the Targeting workflow, giving you greater control over how and where your models are applied to your campaigns.

To learn more about the analytics models and for instructions on how to generate a report/model, see here: Analytics Documentation

From Analysis to Activation:

1. Generate a Targeting, Audience, Incrementality, or Full Analysis (all three pipelines combined) report
2. Navigate to the Targeting section at the Campaign or Line level
3. Select the Custom Model tab
4. Enable the Use Custom Models feature
5. Choose a model from the available list

Once enabled, a table will display all available models associated with the advertiser. Each model includes the following information to help guide selection:

• Name: The name of the report/model
• Date: When the report/model was generated. If you Save & Rerun the original report, the model will automatically update.
• Pipeline: The type of analysis used to generate the model (Targeting, Audience, Incrementality, or Full Analysis)
• Entities: Indicates whether the model was built at the Advertiser, Campaign, or Line level
• Recommended Threshold: The model’s available threshold options and the estimated percentage of bid opportunities included at each setting.

6. Set Threshold type and values.
   • Thresholds determine how selective the model is when deciding which bid opportunities to include. A higher threshold is stricter and limits bidding to opportunities the model considers more likely to perform. A lower threshold is less restrictive and allows the model to bid on a broader range of opportunities, which may increase scale.
     • Single Value or Spread
   • Values: See Recommended Threshold section below.
7. Click Save button.
8. Save the entire Campaign or Line.

Single Value: Choose one threshold. Bid opportunities with a predicted probability above the selected value will be included, while those below it will be excluded.

For example, if the selected threshold is 0.44, Pontiac will bid on a request with a probability of 0.65 and will not bid on a request with a probability of 0.38.

Spread: Choose an upper and lower threshold. Bid opportunities above the upper threshold will always be included, while those below the lower threshold will always be excluded. Opportunities between the two thresholds will be selected randomly.

For example, with a lower threshold of 0.44 and an upper threshold of 0.60:

• A probability of 0.65 will always be included.
• A probability of 0.38 will always be excluded.
• A probability of 0.52 will be randomly included or excluded.

By default, the platform uses a Single Value threshold and selects the first available non-zero recommended value.

Recommended Threshold

Hover over the Recommended Threshold value to view the model’s available threshold options and the estimated percentage of bid opportunities included at each setting.

Each row shows:

• Trim %: The approximate percentage of bid opportunities that would be excluded.
• Threshold: The minimum predicted probability required for a bid opportunity to be included.
• Bids on %: The approximate percentage of eligible bid opportunities the model would continue to bid on.

For example:

• Bid on ~everything (floor) → threshold 0.30 (bids on 100%)
  • This is the least restrictive option. Nearly all eligible bid opportunities are included.
• Trim ~9% → threshold 0.44 (bids on 91%)
  • Opportunities below 0.44 are excluded, while approximately 91% remain eligible for bidding.
• Trim ~20% → threshold 0.45 (bids on 79.6%)
  • The model becomes more selective and bids on approximately 79.6% of opportunities.
• Trim ~38% → threshold 0.46 (bids on 62.3%)
• Trim ~52% → threshold 0.47 (bids on 47.7%)
• Trim ~80% → threshold 0.49 (bids on 20.1%)
  • This is the strictest option shown. Only the opportunities with the highest predicted probabilities remain eligible.

Higher thresholds make the model more selective and may improve efficiency, but they also reduce scale. Lower thresholds allow more opportunities to qualify and support greater delivery.

This streamlined workflow makes it easy to select the most relevant model and move from insight to action in seconds!