How/When should we optimize campaigns within the Doceree Marketing Platform?

It is important not to make significant changes to your ad campaigns while completing the learning phase.

This is the time taken by Doceree’s algorithm to learn about your ads and their audiences, and determine when best to display these ads, the context, and to whom. This ensures that ads are performing as best as possible within the parameters that you have configured initially.

Making changes too early will result in our systems going back to the learning phase, and they will therefore be unable to optimize your campaigns with any effectiveness. 

Within the Measure section of the Marketing Platform, the system provides AI-driven intelligence through the Real-time Recommendations section. This section becomes active once a campaign goes live and begins generating specific data, offering two primary sub-sections for optimization: Dynamic Recommendations and the Audience Quality Score.

Dynamic Recommendations

This sub-section provides real-time business suggestions regarding your active campaigns.

• Automated Insights: Recommendations are displayed on an auto-scrolling basis, though you can also manually scroll through them using navigation buttons.

Real-time Recommendations Section

• Direct Optimization: Each recommendation is accompanied by an Optimize button. Clicking this button automatically navigates you to the Activate section and the specific sub-campaign in question, allowing you to immediately implement the suggested changes to augment your campaign's performance.

Dynamic Recommendations Sub-section

Audience Quality Score (AQS)

The AQS sub-section uses AI to evaluate the quality of your target audience based on two key metrics:

• Current Prescriber AQS: This score identifies individuals within your target group who are already loyal to your brand and actively driving engagement.
• Potential Prescriber AQS: This score identifies individuals who have a high probability or potential to become loyal to your brand.

Audience Quality Score Sub-section

The platform categorizes these NPIs (National Provider Identifiers) based on their score:

• High-Quality: Scores of 75 and above.
• Moderate-Quality: Scores between 50 and 74.
• Low-Quality: Scores below 50.

Pacing Intelligence

While viewed within the Executive Summary and Pacing tabs, the platform also provides AI-informed pacing data. This indicates whether your sub-campaign spending is occurring too fast, too slow, or at an ideal rate relative to your budget and remaining campaign duration. This allows you to identify if the "Actual" spend is aligning with the "Expected" spend over time to ensure optimal budget utilization.

Pacing Tab