Loading...

15 Apr 2026 13:35

Advertising & Marketing Media-Avataar Insights Recommended for You

Marketers are leaving value on the table by failing to measure the full impact of their marketing investments

Marketers are leaving value on the table by failing to measure the full impact of their marketing investments

The Future of Measurement 2024, part of WARC’s Evolution of Marketing programme, explores major trends and emerging best practices in measurement

As cookies are phased out and new measurement techniques come to the fore, 2024 will be a year defined by disruption, uncertainty and experimentation.

According to WARC data, only a small fraction of marketers (2%) are using the following measurement techniques in combination – marketing mix modelling (MMM), experiments, attribution – to assess the full impact of their marketing.

As measurement continues to evolve, WARC, the global authority on marketing effectiveness, has today released The Future of Measurement, a report examining the latest trends and emerging best practices of marketing measurement. The report focuses on four key areas: AI and the growth of synthetic data, the demise of third-party cookies, hurdles in holistic measurement and closing the sustainability gap.

Paul Stringer, Managing Editor Research and Insights, WARC, says: “Amidst the swirl of excitement around Gen AI, another significant inflection point is fast approaching. In Q3 of this year, Google is finally due to phase out third-party cookies. While the threat of cookie deprecation has loomed for some time now, evidence suggests that advertisers are neither fully prepared or aware of the different solutions available.

“With measurement continuing to evolve in several directions at once, marketers find themselves battling multiple headwinds: not only the demise of third-party cookies, but new regulations around sustainability reporting, and, of course, the growing influence and impact of AI. All of which we address in this report.”

Key challenges and trends outlined in The Future of Measurement report, and what marketers can do to keep pace with emerging best practices in measurement are:

Hurdles in holistic measurement: only 2% of marketers are using attribution, experiments and marketing mix modelling (MMM) in combination to measure marketing impact

Most marketers are failing to use the full range of techniques that enable them to measure the full impact of their marketing activities. Data from WARC’s Marketer’s Toolkit survey shows only 2% of marketers are using attribution, experiments and marketing mix modelling (MMM) in combination for measurement, whilst a further 22% say they don’t use any modelling at all.

Guidance highlights three techniques that are critical to holistic measurement. Each technique brings strengths that can offset the weaknesses of the other.

Attribution: The process of assigning credit to the different touchpoints that are found on a user’s path to a conversion. Fast and easy to scale, it gives real-time insight into drivers of performance. But, it is limited to digital channels and is best for measuring short-term impact.

Experiments: Uses randomised controlled experiments to compare the change in consumer behaviour between groups that are exposed or withheld from marketing activity while keeping all other factors constant. It is the gold standard to measure causality but can be difficult to scale.

Marketing mix modelling (MMM): Utilises advanced statistics to give a holistic overview of all channels, sales, and external factors. Can provide a longer-term view of media impact, but can be expensive and requires at least two years of historical data.

AI and the growth of synthetic data: 60% of data used to develop AI and analytics applications will be synthetically generated

Unlike ‘real’ data, which is based on observations from the real world, synthetic data is produced artificially to emulate it using purpose-built mathematical models or algorithms.

Synthetic data has a variety of applications in marketing, including pricing, customer journey planning, competitor analysis and new product development. It also negates customer privacy issues, as it has no personal information attached to it, and can conduct market research quicker and cheaper.

By this year, Gartner has estimated that 60% of the data used in AI and analytics projects will be synthetically generated, and according to Straits Research, the global market for synthetic data generation is projected to grow by 37% between 2023 and 2031.

However, AI-based insights bring new risks to marketing research. Generative AI tools can amplify bias, trigger privacy breaches and deliver inaccurate results. Marketers should develop clear ethics and best practices when working with these tools.

Tim Geenen, CEO and co-founder, Rayn HQ, says: “There are many benefits to [producing synthetic data], from achieving more accurate results, to building new data sets that reflect our diverse society and opening the door to advanced ways of understanding audiences.”

The third-party cookie countdown: Only half (51%) of marketers are prepared for the deprecation of third-party cookies

The phasing out of cookies is due to take place in Q3 of 2024, severely limiting the ability of companies to track individuals online. Yet many marketers are still not prepared. According to a recent survey by IAB Europe, only half are prepared for the deprecation of third-party cookies.

A lack of education and awareness of post-cookie alternatives are a barrier to progress.

As advertisers look to combat signal loss, they will have to get comfortable testing a broad range of targeting and measurement solutions to discover what works best for their business.

Proposed solutions include: contextual advertising, identity solutions, first party data, attention measurement, Google’s ‘Privacy Sandbox’, and predictive audiences using AI.

Closing the sustainability gap: only a quarter (24%) of advertisers are measuring digital advertising emissions

Over the last five years, sustainability has ranked as a top issue by respondents to WARC’s annual Marketer’s Toolkit survey. However, recent research by Scope3 concludes that there has been ‘no evidence of systemic behaviour change’ in the advertising industry to reduce carbon emissions, and according to IAB Europe, only a quarter (24%) of marketers said they are measuring emissions from digital advertising.

The compound effect of these trends is that many marketers are failing to act on sustainability – in objective setting, asset development, supply chain management, consumer messaging, and the measurement of emissions from digital ads.

New regulations and directives in both Europe and the United States coming in 2024 mean companies will need to provide more granular data on their carbon emissions – including those generated by advertising.

Lack of standards is a major barrier to accurate and comparable carbon measurement, although work is underway by the Global Alliance for Responsible Media (GARM) and Ad Net Zero to create a common currency and methodology.

Research by Magna, Lumen and Adelaide suggest that advertising in high quality media environments with higher engagement generate lower carbon emissions.

Vicky Foster, VP Global Commercial Partnerships, Adform, said: “By working with the right partners, platforms, and practices, ones that have sustainability, transparency, and efficiency at their core and accept no compromise between these pillars, the industry as a whole can make the elimination of waste a reality rather than simply paying lip service.”

(Visited 30 times, 1 visits today)
peri hokiperihokiduta76duta 76ABC1131 - MPO SLOTABC1131 Bandar Slot Togelmix parlay agen slot qrisMPOGALAXYslot thailandAWSBEThttps://premium-soft.com/Consulta-Licencias/https://sintnicolaasschool.com/https://abc1131aa.com/kincir88Slot mahjongABC1131ABC1131 LOGINhttps://abc1131.hartanzah.com/https://www.abc1131.it.com/https://ayodonktolong.pages.dev/stc76e5 adaptif dalam permainan dengan data rtp hariane5 berbasis evaluasi rtp hariane5 berbasis pola spin yang terencanae5 bermain berbasis analisis rtp hariane5 dengan pendekatan algoritma pada scatter dan wilde5 fleksibel permainan berlandaskan data rtp hariane5 melalui teknik spin yang lebih terstrukture5 permainan mengacu pada analisis rtp hariane5 rtp dengan teknik spin yang lebih presisie5 scatter dan wild menggunakan analisis algoritmaeksplorasi dimensi waktu mahjong winsoptimalisasi pola bermain evaluasi digitalpendekatan siklus pola mahjong wayspengembangan bermain evaluasi algoritmarahasia pola rtp pragmatic play serverrahasia pola waktu mahjong wins mainrekonstruksi pola bermain analisis gamestrategi jitu pola rtp pragmatic playstrategi waktu mahjong wins jam mainteknik cerdas analisis maintence servertrik anti gagal mahjong rtp bandarmodel analisis simbol mahjong waysbongkar pola mahjong strategi bandarframework analisis siklus interaksi mahjongeksplorasi pola berulang mahjong waysfrekuensi simbol tinggi scatter hitamkejutan irama mahjong scatter wildperubahan dinamis mahjong scattertanda halus simbol scatter hitamtransisi diam simbol mahjong besaraws analisis kuantitatif simbol premiumaws durasi bermain lucky nekoaws durasi turbo spin scatter hitamaws intensitas spin starlight princessaws micro engagement ai multiplieraws peran wild probabilitas multiplieraws perspektif pemain probabilitas multiplieraws pola rahasia mahjong winsaws tren kestabilan mahjong waysaws validasi pola rtp sweet bonanzapsikologi mekanisme sesi mahjong ways 2teknik dekoding pola tersembunyi indikator balikanalur pemain profesional scatter hitam mahjong wayskalkulasi probabilitas matriks scatter mahjong ways 2diskusi analis sistem arsitektur mekanik mahjong wins 3navigasi kondisi cuaca mahjong ways 2 hujan derasledakan hasil april 2026 angka strategis mahjong waysekspansi abc1131 macau indikator balikan mahjongpsikologi fitur unik mahjong ways 2 mekanismecara baca indikator balikan mahjong ways algoritma Top