A marketing strategy refers to the coordinated set of choices a company makes to achieve its business objectives in a given market. These choices involve positioning, distribution channels, the type of content produced, and how to measure results. Since 2024, two constraints have reshaped these strategies: the tightening regulations on data collection and the rapid integration of generative AI into teams.
Understanding these changes before choosing a growth lever helps avoid building a plan on fragile foundations. Here are the key areas that currently structure an effective marketing approach for French companies.
Consent and campaign measurement: the regulatory constraint that marketing must integrate
Since March 2024, Google requires Consent Mode v2 for any advertiser targeting the European Economic Area via Google Ads or Google Analytics 4. This system conditions data collection on the consent signal transmitted by the cookie management platform (CMP). Without proper configuration, a significant portion of conversions is no longer attributed, skewing campaign management.
In France, this mechanism aligns with Article 82 of the Data Protection Act, which regulates the placement of trackers. The CNIL has announced a wave of inspections starting in mid-2026 focusing on the consistency between cookie banners, CMPs, and signals sent to Google. The issue goes beyond legal compliance: a poorly configured banner directly degrades the profitability of paid campaigns.
The Digital Markets Act (DMA) and the Digital Services Act (DSA), now in effect, also modify the operating conditions of major platforms. For a company building its visibility on social media or through Google, this means a more costly and less predictable dependence on paid channels. Integrating this reality from the design of its marketing strategy allows for balancing between owned channels (website, email) and rented channels (social advertising, search).
To delve deeper into these trade-offs, marketing on the site lepouvoirdesentrepreneurs.fr offers additional resources detailing the fundamentals of business development.
Generative AI and marketing content production: what adoption figures reveal
Almost all French companies report using or testing generative AI in their marketing operations. This massive adoption has not yet translated into uniform maturity. Two distinct uses stand out.
Large-scale content generation
Generative AI accelerates the production of texts, visuals, and video scripts. The time savings are real for small teams that must feed multiple channels (blog, social media, email).
The risk identified by marketing departments concerns the perceived quality of generated content. An article or social post produced without human editorial review is quickly recognizable. Companies that gain a competitive advantage from AI use it as a first draft tool, not as a finished product.
Customer campaign personalization
The other structuring use relates to segmentation and personalization. AI tools allow messages to be tailored to micro-segments of customers without multiplying human resources. This capability changes the game for SMEs that previously lacked the means to personalize their campaigns at scale.
The direct trade-off: these tools require quality data. Without a clean CRM base or properly collected consent, AI amplifies targeting errors instead of correcting them.
Marketing budget managed like a portfolio: the LTV/CAC logic
Allocating a marketing budget without profitability indicators is akin to investing blindly. Two metrics currently structure the financial management of marketing:
- Customer acquisition cost (CAC) measures what it costs to acquire each new customer through a given channel (advertising, content, trade shows, partnerships).
- Customer lifetime value (LTV) estimates the total revenue generated by a customer over the entire duration of the business relationship.
- The LTV/CAC ratio determines whether a growth channel is profitable. A ratio below 3 typically indicates an underperforming channel or a retention issue.
This approach, sometimes referred to as managing the marketing budget “like an investment fund,” encourages testing low-budget channels before scaling them. It also requires measuring customer retention with as much rigor as acquisition, which many companies still neglect.
Fractional CMO: outsourcing marketing leadership without hiring a full-time executive
The “Fractional CMO” (part-time Chief Marketing Officer) model is gaining traction, including in France. The principle: a company accesses a senior marketing leadership profile for a few days a month, without bearing the cost of a full-time position.
This format meets a specific need for growing SMEs that have moved beyond artisanal marketing but do not yet generate the revenue justifying a dedicated leadership position. The Fractional CMO structures the strategy, selects tools, manages service providers, and trains internal teams.
- This model works particularly well for companies in the structuring phase, with between 10 and 100 employees.
The Fractional CMO does not replace a marketing team; it accelerates its skill development. A common mistake is to assign this role to a generalist consultant without operational leadership experience.
The combination of stricter data regulations, accessible AI tools, and flexible organizational models is redefining what a successful marketing strategy requires in 2025. The fastest-growing companies are those that balance these levers according to their stage of development, not those that attempt to activate everything simultaneously.
