
A marketing strategy refers to the overall plan that a company uses to turn its offering into recurring sales. It encompasses market analysis, product or service positioning, and the choice of communication channels. Without this framework, commercial actions remain scattered and their profitability difficult to measure.
Strategic Diagnosis: What Generative AI Changes in Market Analysis
Before choosing a channel or drafting an offer, the diagnostic phase conditions everything that follows. It involves mapping customer segments, identifying the company’s strengths and weaknesses against the competition, and spotting opportunities in the targeted market.
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In recent years, French small and medium-sized enterprises (SMEs) have been integrating generative AI tools directly into this step. The use goes beyond simple content writing: these tools are used to test value propositions, generate detailed personas, or simulate email sequences before deploying them.
A report from ACSEL on the digital transformation of SMEs, published in October 2024, highlights a significant increase in the use of AI tools in marketing functions, particularly for content production and SEO optimization. The resources available on marketing on Culture Entrepreneur detail several of these approaches applied to small structures.
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The common pitfall is to delegate the diagnosis to AI without validating the hypotheses on the ground. A generative tool produces plausible answers, not verified answers. Every AI output must be confronted with real data: customer feedback, sales statistics, field surveys.

Positioning and Segmentation: Two Often Confused Levers
Segmentation divides the market into homogeneous groups of consumers. Positioning, on the other hand, defines the place the company wants to occupy in the minds of these consumers relative to the competition. Confusing the two means speaking to everyone in the same way, which dilutes the message.
Segmenting Beyond Demographic Criteria
Classic criteria (age, gender, location) remain useful, but the most effective strategies cross these data with behavioral criteria: purchase frequency, price sensitivity, preferred contact channels. An online service company that segments only by age group will miss a high-value customer group that shares a purchasing behavior, not a birth year.
Formulating a Verifiable Positioning
A useful positioning can be summarized in one sentence and can be tested. For example: “The only product X that solves problem Y for segment Z, at a price lower than the market average.” If the sentence cannot be confronted with a fact (actual price, measurable feature, identified segment), the positioning remains a slogan without strategic value.
Content Strategy and Communication Channels in a Post-Cookie Context
The choice of communication channels is no longer made as it used to be. The CNIL has been strengthening its controls on advertising cookies for several years, imposing a real “opt-out/accept” choice on users. This tightening reduces the amount of behavioral data accessible to advertisers, particularly for online campaigns relying on retargeting.
The direct consequence for a marketing strategy: first-party data becomes the foundation of the customer relationship. Collecting email addresses through useful content, enriching a CRM database through real interactions, engaging a community on a social network chosen for its relevance rather than its size, are the foundations of a system that does not depend on the goodwill of browsers.
- Editorial content (in-depth articles, practical guides, case studies) attracts qualified visitors without resorting to advertising tracking, and strengthens organic search rankings in the long term.
- Segmented email sequences based on purchasing behavior allow for personalized communication from data that the customer has voluntarily provided.
- Social commerce (direct sales from social platforms, live shopping) generates measurable conversions without relying on third-party cookies, capitalizing on community engagement.

Performance Measurement: The Indicators That Matter to Drive Your Marketing Strategy
Many companies track dozens of indicators without knowing which ones actually influence their decisions. A marketing strategy gains clarity when it focuses on three to five metrics directly related to sales objectives.
- The customer acquisition cost relates marketing expenses to the number of new customers over a given period. This is the first indicator to monitor to assess the profitability of a channel.
- The customer lifetime value estimates the total revenue a customer generates throughout their relationship with the company. A high acquisition cost can be profitable if the customer lifetime value justifies it.
- The conversion rate by channel (website, email, social network) allows for quick identification of friction points and reallocating the budget to the most effective channels.
- The retention rate measures the company’s ability to retain its existing customers, a lever often more profitable than acquiring new customers.
The frequent mistake is to manage the strategy solely by volume (number of visitors, number of subscribers). A useful indicator always links a marketing action to a financial result. If the metric does not allow for a concrete decision (increase, decrease, redirect a budget), it clutters more than it clarifies.
The complete cycle, from diagnosis to measurement, forms a loop. Performance data feeds into the next diagnosis, refines segmentation, and corrects positioning. The companies that progress the fastest are those that shorten this cycle: test a hypothesis, measure the result, adjust before moving on to the next one.