When setting up an advertising campaign on Chrome and observing plummeting match rates on Safari or Firefox, it quickly becomes clear that the problem is no longer theoretical. Third-party cookies haven’t disappeared everywhere, but advertising tracking now relies on partial and unstable signals. Adapting marketing strategy in 2024 no longer involves anticipating a grand evening of privacy, but rather dealing with a fragmented landscape on a daily basis.
Third-party cookies and partial signals: what changes concretely for targeting
In July 2024, Google announced that it would not block third-party cookies in Chrome, opting for a user-choice model in the browser’s privacy settings. On paper, cookies remain available by default in Chrome.
In practice, Safari, Firefox, and several mobile browsers have already been blocking these cookies by default for some time. The result: we accurately target part of the audience while losing track of the rest. Feedback on this varies by sector, but the underlying trend is clear.
This hybrid landscape forces a rethink of data collection. Three operational axes emerge for marketing teams:
- Strengthen first-party data collection (forms, customer accounts, loyalty programs) to no longer depend on a third-party signal that may disappear from one browser to another.
- Implement incrementality testing rather than relying on multi-touch attribution models that have become unreliable when half of user journeys are invisible.
- Integrate statistical modeling (media mix modeling) to estimate the real impact of channels, even without complete individual tracking.
Those covering marketing on Geekette and Greluche regularly detail these on-the-ground approaches, particularly regarding acquisition and content.
Sponsored UGC and micro-influence: producing content that algorithms push
We’ve all seen sponsored posts so polished that they go unnoticed in a news feed. User-generated content (UGC), when well-framed, achieves engagement rates significantly higher than traditional brand visuals.
The nuance of 2024 is the shift from spontaneous UGC to sponsored UGC. The brand engages a creator (often a micro-influencer or a regular customer) to produce content that maintains a personal tone. The creator is compensated, but the format remains that of an authentic review, not an advertisement.
How to structure a profitable UGC collaboration
Favoring long-term partnerships over isolated posts changes the dynamic. A creator who publishes three pieces of content over several weeks establishes a familiarity with the product that a single placement does not allow. Social media algorithms favor the recurrence of the same creator on a topic.
On the budget side, working with nano-influencers (a few thousand followers) costs a fraction of the rate of a high-audience account, often yielding a comparable conversion rate. We are talking about niche communities where recommendations carry real weight.
Multichannel content strategy: balancing short formats and long content
Publishing vertical videos of less than 60 seconds on TikTok or Instagram Reels is no longer a trend; it’s a standard. The operational question now is: how to articulate these short formats with long content (blog articles, webinars, podcasts) without doubling the production workload.
The method that works in practice is to produce long content and then break it down into short fragments. A comprehensive article on a technical subject becomes three video clips, a LinkedIn carousel, and a text post. We are not creating five pieces of content; we are creating one that we adapt.
SEO and organic visibility on Google in 2024
Search engines remain the most stable acquisition channel. However, Google is increasingly incorporating enriched results (featured snippets, AI boxes) that capture clicks before the user even reaches a site.
To maintain organic traffic, we work on two concrete levers:
- Structure web content to directly answer specific questions (structured data tags, FAQs integrated into pages).
- Focus on transactional or comparative intent queries, which are less exposed to generic AI responses that mainly capture simple informational queries.
- Strengthen domain authority through regular in-depth content, because Google values publication frequency and thematic depth.
Marketing attribution: models that still hold up
With the loss of signals mentioned above, the last-click attribution model, still widely used, provides an increasingly distorted picture of reality. Conversion is attributed to the last visible touchpoint, ignoring everything that preceded it on browsers that block tracking.
Marketing teams that obtain reliable budget allocations generally combine two approaches. First, incrementality testing allows for measuring the real impact of a channel by comparing an exposed group to a control group. Then, media mix modeling reconstructs the contribution of each channel from aggregated data (spending, search volumes, seasonality), without relying on individual tracking.
These methods require more statistical rigor than a Google Analytics dashboard, but they produce budget decisions that third-party cookies can no longer solely support.
The marketing landscape of 2024 resembles less a revolution than a permanent adjustment. Cookies haven’t disappeared, short videos do not replace long content, and AI does not render writers obsolete. What distinguishes successful strategies is the ability to combine imperfect signals rather than seeking a miracle tool.
