What indicators should be monitored to guide a digital marketing strategy that remains viable by the end of 2024? With the European regulatory framework redistributing the rules of advertising targeting and increasingly shorter conversion paths, the criteria for decision-making are no longer the same as they were two years ago. This article isolates three measurable axes: compliance with the DSA, the real weight of AI-driven personalization, and budget allocation across channels.
DSA Constraints on Advertising Targeting in 2024
The Digital Services Act (DSA) applies to all intermediary services as of February 17, 2024. Not only to very large platforms: marketplaces, hosting services, social networks, and search engines are concerned.
For a digital marketing strategy, this concretely changes the targeting mechanics. Every advertisement displayed on a covered platform must clearly identify the advertiser and the payer of the campaign. Users must be able to consult the main parameters explaining why they see this advertisement.
Two prohibitions directly impact audience building:
- Sensitive data-based targeting (health, political opinions, sexual orientation) is prohibited, eliminating entire segments previously used in programmatic advertising.
- Advertising profiling of minors is banned on platforms accessible to this audience, directly affecting campaigns on major social networks.
- In France, oversight is tripartite (Arcom, CNIL, DGCCRF), with penalties that can reach 6% of global revenue in case of non-compliance.
Any company that builds its online advertising campaigns without auditing its targeting segments in light of the DSA exposes itself to concrete legal and financial risks. Exploring digital marketing with Geekette and Greluche helps understand how these new obligations fit into an operational action plan.
AI Personalization and Discovery Channels: Comparative Table
AI-assisted personalization is no longer an isolated test. It is now part of daily execution: content recommendation, dynamic email segmentation, support chatbots, predictive analysis of purchasing behaviors.
Meanwhile, the discovery phase is shifting. Short formats on social media (YouTube Shorts, TikTok, Reels) capture an increasing share of attention upstream of the purchasing journey. The table below contrasts two approaches to effort distribution based on the pursued objective.
| Criterion | Acquisition-focused Strategy | Retention-focused Strategy |
|---|---|---|
| Priority Channel | Short formats (social media, video) | Email marketing, personalized CRM |
| Role of AI | Targeting similar audiences, creating ad variations | Behavioral scoring, product recommendation |
| DSA Compliance | Mandatory segment audit before dissemination | Explicit consent for profiling |
| Key Indicator | Cost per acquisition (CPA) | Customer lifetime value (LTV) |
| Main Risk | Dependence on a third-party algorithm | Base fatigue if over-solicited |
The gap between the two columns shows that the choice of channel directly depends on the business objective, not on a general trend. A company in the launch phase does not allocate its budget in the same way as an established brand seeking to increase purchase recurrence.
Budget Allocation Between SEO, SEA, and Social Content
The orchestration between channels remains the weak point of most digital strategies. Investing in one channel without measuring its interaction with others produces siloed results that are difficult to interpret.
SEO and Content: A Deferred Return Investment
Natural referencing and content production (articles, videos, guides) generate organic traffic in the medium term. The return on investment is not immediate, but the marginal cost per visit decreases over time. However, content that does not meet a specific search intent produces no results, regardless of the volume published.
SEA: A Quick Lever Under Regulatory Constraints
Paid campaigns (Google Ads, Meta Ads) offer immediate visibility. Since the DSA came into effect, the transparency imposed on targeting parameters may reduce the granularity of available audiences. Advertisers who relied on sensitive data to segment their campaigns must rebuild their audiences based on contextual or declarative criteria.
Social Networks and Creators
The rise of short formats redistributes attention. YouTube, TikTok, and content creators are taking up more space in the upstream phase of the journey. For a B2C company, integrating micro-influencers with niche communities can generate higher engagement than a traditional display campaign. The key remains the consistency between the creator’s message and the brand’s objectives.
Measuring Results and Data-Driven Management
Without reliable attribution, no budgetary decision holds. The gradual shift towards a cookie-less web complicates multi-channel tracking. Strategies that succeed rely on three pillars.
- A centralized CRM that connects browsing, purchasing, and contact data, with consent compliant with GDPR and DSA.
- Indicators aligned with business objectives (CPA for acquisition, LTV for retention, repurchase rate for e-commerce) rather than vanity metrics (impressions, likes).
- A monthly review of performance by channel, with budget reallocation towards channels that produce measured, not assumed, results.
Data-driven management replaces intuition in organizations that achieve reproducible results. Automating data collection and visualization frees up time for analysis, where real value is created.
The regulatory framework of the DSA, the rise of AI in marketing execution, and the shift of discovery towards short formats create an environment where every euro invested must be traceable. Companies that align their digital strategy with reliable data, channels suited to their objectives, and verified compliance have a direct operational advantage over those that stack tactics without measurement.
