Femme professionnelle travaillant sur une stratégie digitale devant un ordinateur portable avec des tableaux de bord analytiques dans un bureau moderne

The best tips for succeeding in your digital strategy in 2024

ParDamien Julien

A small business launches a social media advertising campaign, spends its monthly budget in ten days, and only garners clicks without conversion. Without a defined framework in advance, even the right channel produces mediocre results. Succeeding in a digital strategy in 2024 relies less on multiplying tools and more on a few precise technical decisions, often overlooked in favor of media-driven trends.

European Regulation and Digital Strategy: What Changes Advertising Targeting

Before discussing content or social networks, one must contend with a legal framework that directly modifies the available levers. The Digital Markets Act imposes new obligations on large platforms designated as access controllers, particularly regarding the combination of personal data for advertising purposes.

In practical terms, a company that relied on cross-targeting between several services of the same platform (messaging, search engine, social network) loses some granularity of its audiences. The Digital Services Act, applicable to all relevant platforms since February 17, 2024, strengthens transparency obligations regarding sponsored content.

Adapting advertising targeting to the new European rules is not optional. Ignoring these constraints exposes one to less effective campaigns and legal risks. On the ground, it is observed that marketing teams that integrate these parameters from the planning phase achieve more qualified audiences because they work with their own data instead of relying on disappearing third-party signals.

Specialized resources like webunited.info allow tracking these regulatory developments and their operational impacts on campaigns.

Collecting First-Party Data: The Foundation of a Profitable Digital Strategy

As third-party cookies gradually disappear and regulations limit external targeting, proprietary data becomes the main marketing asset. This refers to the information collected directly from your audience: forms, customer accounts, purchase histories, interactions on your website.

A team of professionals in a meeting around a whiteboard planning a digital strategy in a modern conference room with a city view

Building a reliable first-party database replaces third-party targeting for most companies. Transitioning to this model requires concrete work on three fronts:

  • Establishing useful collection points for visitors (configurators, online diagnostics, gated content) rather than generic pop-ups that degrade the experience
  • Centralizing data in an appropriate tool (CRM or CDP) to segment the audience based on actual behaviors, not assumed profiles
  • Documenting consent and usage, in accordance with GDPR obligations and the European AI Act that came into effect on August 1, 2024

Feedback on this point varies depending on the size of the company. A structure of ten people does not need a complex CDP; a well-maintained spreadsheet connected to an emailing tool may suffice initially.

Generative AI and Marketing Content: Governance Before Automation

Generative artificial intelligence has been integrated into content production workflows. It is used to draft, generate variations of advertising hooks, or structure editorial calendars. The time savings are real.

The pitfall is deploying these tools without a framework. The European regulation on AI (AI Act 2024/1689) provides for a phased implementation with obligations for transparency and documentation of systems. Integrating AI tool governance from the start prevents the need to redo everything six months later when traceability obligations come into effect.

In practice, it is recommended to formalize three elements before industrializing the use of AI in content strategy:

  • A register of the tools used, with the nature of the data transmitted to them (customer data, internal data, public data)
  • A systematic human proofreading process before publication, because content generated without verification degrades credibility and SEO
  • Distinct performance indicators for AI-assisted content and manually produced content, to measure the real impact on engagement

Publishing more does not mean publishing better. The volume of content without quality control penalizes SEO as much as it fatigues the audience.

A young man working remotely consulting a content planning application on a tablet to optimize his digital strategy from his home office

Web Performance Measurement: Indicators That Guide Decisions

Many companies still manage their digital strategy with two or three vanity metrics: number of followers, impressions, gross open rate. These figures provide reassurance in meetings but say nothing about profitability.

Tracking acquisition cost by channel and conversion rate by stage provides an actionable view. For an e-commerce site, we look at the journey from the traffic source to the validated order. For a B2B showcase site, we follow the path from the first click to the quote request.

The useful dashboard fits on one page. It crosses three dimensions: traffic source (organic, paid, social, direct), behavior on the site (pages viewed, time spent, scroll depth), and final conversion (form filled, purchase, call). When isolating this data by channel, one quickly identifies where to concentrate the budget and where to cut.

The digital transformation of a company is not measured by the number of tools deployed. It is reflected in the ability to make marketing decisions based on reliable data, collected in compliance with the regulatory framework, and utilized with tools whose governance is well understood.

Similar Posts