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How To Dramatically Improve AdOps & Trading Efficiency

Published 28th Feb 2025 by Catherine Bolin

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A fully automated retail media platform like Particular Audience can dramatically transform AdOps and trading teams' day to day workload at agencies, brand advertisers and retailer adops functions alike. It is especially imperative for agencies when they are managing both demand (brands) and supply (retailers).

Here’s how:

1\. Significantly Reduced Manual Work

- Eliminates manual keyword targeting and optimization through advanced AI-driven automation. - Automates campaign execution, freeing up AdOps resources for strategic initiatives rather than operational tasks.

2\. Improved Efficiency and Lower Operational Costs

- Reduces campaign setup time from days or weeks to hours or even minutes. - Cuts overhead by automating repetitive tasks, reallocating resources to higher-value, strategic tasks like data-driven insights and client consultation.

3\. Superior Campaign Performance

- Leverages multi-modal AI (such as sentence transformers and visual ML) to achieve hyper-personalization, delivering at least a 4x uplift compared to traditional keyword-based methods. - Dramatically improves metrics like CTR and ROAS by matching products to consumer intent in real-time.

4\. Enhanced Demand and Supply Integration

- Vacancy filling. Real-time visibility across supply-side inventory and demand-side budgets enables instantaneous optimization. - Intent matching. Increases yield for retailers and significantly better outcomes for brands through highly precise targeting, satisfying both supply and demand simultaneously.

5\. Data-Driven Decision-Making

- Real-time analytics and predictive insights replace retrospective and manual reporting. - Enables proactive rather than reactive campaign management, driving better outcomes for clients and increasing the value of trading desks.

6\. Scalability of AdOps Capabilities

- Agencies, buyers and advertising sales teams can manage a larger portfolio of campaigns simultaneously, without scaling headcount linearly. - Automation allows rapid onboarding and efficient scaling of new clients or retailers.

7\. Competitive Advantage

- Positions DiscoveryOS platform users as pioneering in automated, next-generation retail media technology. - Allows them to win more business through clearly differentiated performance capabilities.

8\. Flexible Monetization and Pricing Models

- Automation enables more dynamic pricing models, including CPC, CPM, CPA, and revenue-share agreements, aligning interests across the ecosystem. - Fixed tenancy scheduling provides for 100% automated banner upload and takedowns from digital platforms in line with booked time on Particular Audience's scheduling system. As straight forward as booking a hotel room. - Facilitates sophisticated yield management on the retailer side and optimized media spend on the advertiser side.

9\. Simplified Cross-Channel and Omni-Channel Campaigns

- Streamlines the integration and management of retail media alongside other digital channels (search, social, display), enabling holistic optimization and unified insights.

10\. Creative Process Automation

- Legacy platforms require static non-responsive banner picture files, requiring high quality design and lengthy approval processes. Particular Audience enables 100% responsive HTML5 banners. - This is also a legal requirement from June 2025 with EU Accessibility Laws coming into effect.

In short, an automated retail media platform like Particular Audience empowers AdOps and trading teams to focus on strategic value creation rather than manual campaign administration, delivering transformative performance improvements and efficiencies that directly benefit both agency profitability and client satisfaction.

Let's Evaluate in More Detail

We explore:

- Case studies or real-world examples of agencies benefiting from automated retail media platforms. - Competitive comparisons between Particular Audience and other leading retail media platforms. - Detailed insights into how AI and automation impact retail media performance metrics (e.g., ROAS, CTR, operational efficiency). - Financial or operational impact on agencies, including cost savings and increased revenue opportunities.

Transforming AdOps with Automated Retail Media Platforms

Retail media networks are booming – eMarketer estimates retail media ad spend will hit ~$60 billion in 2024 (one-fifth of all digital ad dollars) and nearly $110 billion by 2027 ( Retail media networks: Grasping the opportunity) ( Marketers Spending Significantly More on Retail Media Networks Despite Underlying Concerns: ANA Report \| About the ANA \| ANA). Agencies that manage both advertiser demand and retailer supply stand to gain immensely from fully automated retail media platforms. Solutions such as Particular Audience – an AI-driven retail media platform – promise to streamline AdOps, boost performance, and unlock new revenue. Below, we delve into real-world successes, compare leading platforms, and examine how AI automation lifts key metrics and financial outcomes.

Looking to Real-World Success: Automation in Action

Agencies are already reaping the benefits of retail media automation through improved performance and efficiency:

- Dentsu’s 294% ROAS Boost with Automation: Global agency Dentsu managed retail media campaigns on Criteo across multiple European retailers. Faced with limited daily budgets, they tested automated dayparting using Skai (Kenshoo) to pause ads in low-performing hours ( Automated Actions Boosts Criteo ROAS for Dentsu \| Skai). The result was dramatic – Return on Ad Spend (ROAS) surged 294% for laptop ads and 163% for gaming consoles ( Automated Actions Boosts Criteo ROAS for Dentsu \| Skai). By using automated rules to optimize ad timing, the team stretched budgets and maintained ROAS goals at scale across regions ( Automated Actions Boosts Criteo ROAS for Dentsu \| Skai) ( Automated Actions Boosts Criteo ROAS for Dentsu \| Skai). This case shows how AI-driven optimizations (that would be tedious manually) can massively improve performance and keep large campaigns on track. - Rip Curl’s 15× ROAS via AI-Powered Retail Media: Retailer Rip Curl (with agency support) feared that adding on-site sponsored products would simply cannibalize organic sales. However, by implementing Particular Audience’s platform, they measured true incremental sales and automated relevant ad placements, ensuring new revenue rather than “pay-to-play” cannibalization ( Case Studies). The outcome was a whopping 15× ROAS versus a 4–5× target ( Case Studies). Share-of-voice grew ~46%, and cost-per-click stayed low (avg. $0.11) ( Case Studies). This real-world example highlights the business impact – an automated retail media solution drove significantly higher returns for the brand, proving its value in an agency’s trade marketing toolkit. - Higher CTR and Conversion with AI Targeting: In one seasonal campaign, Particular Audience’s AI-driven “dynamic relevancy” targeting vastly outperformed manual keyword-based ads – capturing 93% of sponsored revenue with a 1.2% CTR and 37.8× ROAS ( Case Studies). By contrast, keyword-only campaigns were inconsistent (one hit 66× ROAS, another only 9.9×) ( Case Studies). The AI approach not only lifted click-through rates but also ensured those clicks converted better (one keyword campaign’s CTR fell to 0.32% vs. 1.2% with AI) ( Case Studies). These cases illustrate that agencies using automated retail media tech can deliver more clicks and conversions for clients, with far more consistency than manual tactics.