Maximising Retail Media ROI: How data-driven decisions optimise PIM, DAM and marketing performance
Why data is the key to marketing performance
In an industry where retail media is one of the fastest-growing advertising channels (forecast: over USD 100 billion by 2026, eMarketer), success is no longer determined by creativity or gut instinct – but by data. But how can product information, digital assets and campaign performance be linked in such a way that ROI increases measurably whilst costs are reduced?
The answer lies in the intelligent combination of PIM (Product Information Management), DAM (Digital Asset Management) and data-driven analytics. Companies that use these systems effectively achieve up to 30 per cent higher conversion rates in their retail media campaigns (Source: McKinsey, 2023). The reason: they avoid errors, inconsistencies and wasted budget – and instead rely on precision and automation.
Data-driven decisions: The foundation for successful retail media campaigns
What data is actually needed? Retail media relies on three key types of data, which must work together seamlessly:
- Product data (PIM):
High-quality, real-time product information (prices, availability, attributes, descriptions) forms the foundation of every campaign. A PIM system ensures that this data is managed centrally and distributed consistently and accurately across all channels – be it Amazon, Walmart Connect or proprietary retail media networks. - Digital assets (DAM):
Images, videos, graphics and other marketing materials must be up to date, tailored to the target audience and easy to find. A DAM system enables assets to be reused across different campaigns, thereby reducing production costs by up to 40 per cent (Source: Forrester, 2024). - Performance data:
Click-through rates, conversion rates, cost per acquisition (CPA) and customer lifetime value (CLV) show which campaigns are working – and which are not. Real-time dashboards make this data transparent and actionable.
“Companies that integrate data analytics into their retail media marketing achieve 25 per cent higher revenue per campaign – whilst reducing costs by 20 per cent.”
— Boston Consulting Group (2023)
PIM and DAM: The unsung heroes of marketing performance
How do I connect product data to retail media platforms?
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- Incorrect prices or availability details in adverts.
- Out-of-date images or descriptions that confuse customers.
- Manual data entry errors that cost time and money.
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- Product information is updated in real time.
- Assets are incorporated into campaigns directly from the DAM system.
- Sources of error, such as manual data entry, are eliminated.
Making marketing performance measurable: From ROI to cost efficiency
How do you measure the ROI of marketing production?
Many companies measure ROI only at campaign level – yet the real leverage lies at production level. Here are the key KPIs you should keep an eye on:
| KPI | Meaning | Target value |
| Cost per Asset | Cost of creating a marketing asset (image, video, text) | Reduction of 30–40% through reuse (DAM) |
| Time-to-Market | Time from idea to campaign launch | Reduction of 50% through automation (PIM/DAM) |
| Error Rate | Frequency of errors in promotions (e.g. incorrect prices) | < 5% through centralised data management |
| ROI per campaign | Revenue in relation to marketing costs | Increase of 20–25% through data-driven optimisation |
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- Quick adjustments to underperforming campaigns.
- Transparency regarding budget allocation and efficiency.
- Data-driven decisions rather than gut instinct.
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Putting a stop to budget wastage: Where retailers lose the most money
The biggest cost drivers in retail marketing
Manual data maintenance:
A 1 per cent error rate in data maintenance can lead to thousands of dollars of misallocated budget.
Inconsistent product data:
47 per cent of marketing spend is wasted due to poor attribution
Out-of-date assets:
Users expect up-to-date images and descriptions. Out-of-date content reduces the conversion rate by up to 15 per cent.

Reducing costs without compromising on quality: Efficiency through automation
Many retailers believe that cutting costs inevitably means a drop in quality. Yet the opposite is true: through automation and centralised data management, production costs can be reduced by 25–40 per cent without compromising on quality.
How?
Reuse of assets:
A DAM system enables images, videos and text to be reused across different campaigns – at no extra cost.
Automated workflows:
From data maintenance to campaign delivery – manual steps are eliminated.
Error reduction: Better data quality means lower correction costs and higher customer satisfaction.
Avoiding errors in promotions: How better data helps
An incorrect price in an advert or an out-of-date product image can prove costly – not only financially, but also in terms of customer satisfaction and brand image. With an integrated PIM/DAM system, such errors can be avoided by:- Synchronising data in real time.
- Ensuring that automatic validation rules guarantee only correct data is published.
- Establishing version control and approval processes for assets and product information.
Conclusion: Data is the key – but only with the right infrastructure
The retail and grocery sectors are facing a data-driven revolution. Those who fail to keep pace will lose not only budget, but also customers and market share. The combination of PIM, DAM and modern analytics software provides the foundation for:-
- More efficient campaigns through accurate data.
- Cost reductions without compromising quality.
- Measurable marketing performance through real-time reporting and dashboards.
“The future of retail marketing belongs to those who not only collect data, but also use it intelligently – to maximise ROI and minimise costs.” — Retail Dive (2024)Ready for data-driven retail marketing? The question is not whether you should rely on data-driven decisions – but when. With the right PIM and DAM solution, you can take the first step today towards more efficient, cost-effective and error-free retail marketing
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