ChatGPT Ads platform update

ChatGPT Ads platform has introduced a major functionality update aimed at optimizing advertising campaigns, improving conversion measurement, and increasing the efficiency of budget allocation. The introduced changes bring the platform’s tools closer to the standards of leading digital advertising systems (in particular, Google Ads and Meta Ads), expanding the possibilities for scaling business indicators.

Key platform technology updates

Within the current release, the following functionalities have become available to ChatGPT Ads users:

• Conversion Optimization (oCPC): Introduced the optimized cost-per-click (oCPC) bidding model. When the Conversions objective is selected, the system automatically optimizes ad delivery to reach users with the highest likelihood of completing the desired action while maintaining cost-per-click (CPC) pricing.
• Dynamic Budgeting: Introduced an average daily budget model calculated over a 7-day period. This enables the system to adjust daily spending based on demand fluctuations without exceeding the overall budget limit.
• Automatic Budget Pacing: Added a budget pacing mechanism that distributes spending evenly throughout the day to prevent premature budget depletion.
• Geographic Exclusions: Expanded targeting capabilities by allowing advertisers to exclude specific regions and locations from ad delivery.
• Mobile Measurement Partner (MMP) Integration: Implemented direct integration with AppsFlyer and Adjust to enable accurate tracking of app installs and in-app events.
• Enhanced Attribution (Automatic Advanced Matching): Introduced hashed customer data matching to improve the accuracy of web conversion attribution.
• Bulk Management via Bulk API: Updated the Ads API with support for asynchronous creation and editing of large-scale campaigns, ad groups, and creatives.
• E-commerce Format Enhancements: Product Feed Ads now feature updated product cards displaying real-time pricing and product ratings.

Market value

The implemented set of tools indicates the transition of ChatGPT Ads from the experimental platform stage to a full-fledged performance platform.

Thanks to bidding automation, improved attribution algorithms and an expanded API, the platform lowers the barrier to entry for large and medium-sized businesses, offering familiar ROI/ROAS control mechanisms and the ability to effectively manage large advertising budgets.

Comparative analysis: Before and After the update

Practical steps for implementation:

• Technical setup: Enable Automatic Advanced Matching in the conversion section and integrate the AppsFlyer/Adjust SDK (for app owners).
• Relaunch structures: Convert existing click campaigns to the oCPC model, setting realistic target CPAs based on historical data from other PPC channels.
• Geography optimization: Audit current campaigns and use geo-exclusions to cut off ineffective regional clusters.

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