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Retail media advertising spend to reach $153.3 bn worldwide in 2024: WARC

by MN4U Bureau
June 5, 2024
in Analysis
Reading Time: 4 mins read
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Mumbai: Retail media advertising spend is forecast to reach $153.3 billion worldwide in 2024, according to Warc’s latest analysis. The continued growth is fuelled by advances in off-site targeting as commerce data infuses into non-retail environments. All the while, Amazon continues to tighten its grip on the retail media market.

Amazon’s ad revenue is forecast to reach $52.7 billion (+24.4%) in 2024 and $68.0bn in 2025 (+18.9%)
AI-enabled e-commerce is projected to reach $16.8 billion by 2030

Warc has released ‘The Future of Digital Commerce 2024’ report. It highlights e-commerce trends in four key areas: retail media, omnichannel marketing, AI, and cloud-based data clean rooms

Warc Digital Commerce has today published its annual report looking at the trends having an outsized impact on the future of this dynamic and hyper-competitive space.

Gregory Grudzinski, reports editor, Warc Digital Commerce, and author of the study, said, “Following the explosion of digital commerce onto the advertising landscape, this report looks at trends in four areas that are having a profound impact on the future of this fast-growing and complex space to provide an overarching view of what the future holds and what marketers need to do today to prepare for it.”

Key insights outlined in Warc’s Future of Digital Commerce 2024 are:

Retail media ad investment maintains double-digit growth fuelled by off-site targeting: Investment in retail media continues to grow at a rapid pace. According to Warc’s latest analysis, global retail media advertising spend will reach $153.3 billion in 2024, up 13.7% year-on-year. This marks a slight acceleration on the 13% growth recorded last year but falls short of the +14.3% forecast for social media.

Amazon’s dominance continues, and is set to maintain near 25% growth in 2024, to reach $52.7bn, per Warc forecasts, bringing its global share of retail media spend to 37.3%. Excluding China, this equates to 62.3% of all retail media ad spend.

Chinese platform Pinduoduo, which also owns e-commerce platform Temu, is set for a +31.3% expansion this year to earn $28.2 billion, accounting for 45.9% of all retail media spend in China. Walmart reported a 26% year-on-year rise in e-commerce ad revenue in its latest earnings.

However, retail media spend growth is forecast to slow to 10.6% in 2025, with spend reaching $169.5 billion, as trade marketing budgets are steadily exhausted.

AI is revolutionising marketing: By 2030, the AI-enabled e-commerce market is projected to reach $16.8 billion AI presents an opportunity for brands to personalise products, promotions, and marketing efforts at an unprecedented level, vastly exceeding prior customisation attempts.

AI-driven tools can be used to identify meaningful commonalities among shoppers and create activations targeting these commonalities, such as customised product detail pages, social media posts, and loyalty program solicitations.

The ability to quickly render realistic or hyper-realistic images of people, products, and packages will be a powerful tool for creatives allowing more time for strategic planning and creative thinking.

Mert Damlapinar, managing principal, EPAM Systems, said, “AI is not an optional technology but a core component of e-commerce strategy, empowering brands to seamlessly integrate personalized experiences, optimize operations, and drive business growth.”

By 2030, the AI-enabled e-commerce market size is projected to reach $16.8bn, growing at a compound annual growth rate (CAGR) of 15.7% in the next seven years, according to InsightAce Analytic’s data.

Changes in consumer behaviour and advancements in digital technology are shaping the omnichannel landscape: As the omnichannel space becomes increasingly complex, direct-to-consumer (DTC) brands are seeing significant growth fueled by increased consumer acceptance of online subscription offerings. DTC sales are expected to reach $161.2 billion in 2024, and $591.3 billion by 2032 at a CAGR of 15.4%, according to Shopify.

Brands with effective omnichannel customer engagement strategies retain on average 89% of their customers, compared to a rate of 33% for companies with weak omnichannel customer engagement, according to Invesp.

At Kroger’s Q4 and fiscal 2024 earnings call in March this year, Rodney McMullen, Chairman and CEO of the US retail company, said, “Customers value the ability to shop on their own terms with zero compromises, and we are increasing the number of omnichannel households in our ecosystem. Customers who shop both in-store and online spend three to four times more compared to in-store-only shoppers.”

As more time is spent on social media (averaging 2.5 hours/day globally), social commerce, and increasingly gaming commerce, are helping shoppers discover new brands and products.

Over the next 12-24 months, many challenges for omnichannel marketers will center around measurement and optimisation. Research published in Warc’s Future of Measurement 2024 report, revealed that only a small percentage of marketers are following measurement best practices; 22% say they don’t do any attribution modelling at all.

Measurement and privacy will continue driving ‘clean room’ adoption: Data clean rooms, such as the Amazon Marketing Cloud, is an environment where brands access anonymized shopper data. They allow retailers and brands to work together to create and target high-value customer segments. This provides a more complete view of the customer journey and enables accurate attribution of marketing investments to tangible business results.

According to a survey by the CMO Council, 54% of marketers in North America cited the ability to measure campaign results as a leading driver for their data clean room strategies.

Data governance is crucial for clean room adopters to ensure the ethical and compliant use of consumer data within these environments, essential to maintain consumer trust and reduce concerns of regulatory bodies. Brands without extensive first-party data may need to limit clean room functions to media attribution.

Tags: AIMert DamlapinarRodney McMullenWarc

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