[et_pb_section fb_built=”1″ _builder_version=”4.19.4″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][et_pb_row _builder_version=”4.19.4″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||40px||false|false” global_colors_info=”{}”]<\/p>\n
Knowing your customers better means selling more effectively<\/b>. But with the <\/span>gradual disappearance of third-party cookies<\/span><\/a>, data collection is becoming a real challenge.<\/span><\/p>\n To<\/span> feed their CRM<\/b> with relevant insights, brands can rely on two complementary allies:<\/span><\/p>\n Together, these two levers transform customer relations and boost marketing performance through<\/span> more precise customer knowledge<\/b> and actionable. In this article, we share practical tips on how to leverage both tools to improve customer knowledge and boost revenue. <\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.22.2″ _module_preset=”default” background_color=”#F2F2F2″ custom_margin=”||40px||false|false” border_radii=”on|10px|10px|10px|10px” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_padding=”20px|30px|20px|30px|true|true” global_colors_info=”{}”]<\/p>\n SUMMARY<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=”section-1″ _builder_version=”4.19.4″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”sommaire-1″ _builder_version=”4.27.4″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#000000″ text_font_size=”25px” header_font_size=”25px” header_line_height=”1.3em” header_2_font=”Montserrat|700|||||||” header_2_font_size=”25px” header_2_line_height=”1.3em” custom_margin=”||30px||false|false” link_option_url=”#sommaire-1″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||40px||false|false” global_colors_info=”{}”]<\/p>\n Many brands still rely on basic CRM data to <\/span>segment their audiences <\/b> such as age, gender, location, and purchase history. However, these criteria alone are no longer enough to capture attention or effectively personalize messages. <\/span><\/p>\n For example, targeting all women aged 30\u201340 who have purchased a facial cream overlooks their actual needs: anti-aging, hydration, or mattifying?<\/span><\/p>\n The result:<\/span> undifferentiated campaigns<\/b>, with overly broad messages and stagnant performance. Without declarative or behavioral data, it becomes difficult to deliver the right content, at the right time, on the right channel. More importantly, it\u2019s impossible to understand what truly drives each segment. <\/span><\/p>\n This highlights the importance of <\/span>integrating more precise<\/b>, higher-quality\u2026 and more interactive levers.<\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=”section-2″ _builder_version=”4.19.4″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”sommaire-2″ _builder_version=”4.27.4″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#000000″ text_font_size=”25px” header_2_font=”Montserrat|700|||||||” header_2_font_size=”25px” header_2_line_height=”1.3em” custom_margin=”||30px||false|false” link_option_url=”#sommaire-1″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||20px||false|false” global_colors_info=”{}”]<\/p>\n Artificial intelligence applied to CRM goes far beyond traditional socio-demographic criteria. It paves the way for <\/span> behavior-based segmentation<\/b>, customer intentions, and interests. Thanks to sophisticated <\/span>scoring<\/span><\/a>, <\/span>clustering<\/span><\/a> and prediction algorithms, profiles are automatically grouped based on their interactions with the brand, purchase intent, or conversion potential. This <\/span>dynamic segmentation<\/b> becomes particularly meaningful when it leverages data from interactive activities, such as quiz responses or<\/span> product preferences<\/span><\/a> revealed in a contest. AI transforms these signals into actionable groups, ready to be utilized by marketing teams. This is a major advancement, allowing brands to move beyond static and often overly broad segmentation to activate more targeted \u2014 and therefore more effective \u2014 scenarios. <\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” header_3_font=”Montserrat|600|||||||” header_3_text_color=”#0092ff” header_3_line_height=”1.5em” custom_margin=”30px||30px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||20px||false|false” global_colors_info=”{}”]<\/p>\n What is the role of AI in CRM?<\/b> Here are the main benefits of artificial intelligence for optimizing the performance of a customer relationship management tool.<\/span><\/p>\n \n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_line_height=”1em” header_line_height=”1.5em” header_3_font=”Montserrat||||||||” header_3_text_color=”#0092ff” header_3_line_height=”1.5em” custom_margin=”30px||30px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||40px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=”section-3″ _builder_version=”4.19.4″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”sommaire-3″ _builder_version=”4.27.4″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#000000″ text_font_size=”25px” header_2_font=”Montserrat|700|||||||” header_2_font_size=”25px” header_2_line_height=”1.3em” custom_margin=”||30px||false|false” link_option_url=”#sommaire-1″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” min_height=”49.4px” custom_margin=”||20px||false|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Why combine AI and <\/span><\/i>gamification<\/span><\/i><\/a> in a marketing campaign? Simply put, gamified campaigns (quizzes<\/span><\/i>, <\/span>tests<\/span><\/a>, mini-games\u2026) allow the <\/span>collection of valuable data for CRM<\/b> and help refine customer knowledge. Each interaction becomes a source of insights, provided the right questions are asked. <\/span><\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.adictiz.com\/wp-content\/uploads\/2025\/01\/Club-Md-Quiz-marketing-personnalise.webp” _builder_version=”4.27.4″ _module_preset=”default” alt=”Club Med – Personalised marketing swiper” title_text=”Club-Med-Swiper-custom-marketing” hover_enabled=”0″ sticky_enabled=”0″][\/et_pb_image][et_pb_divider _builder_version=”4.27.4″ _module_preset=”default” show_divider=”off” hover_enabled=”0″ sticky_enabled=”0″][\/et_pb_divider][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” min_height=”49.4px” custom_margin=”||20px||false|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n This data is then strctured to be interpreted by the CRM and AI.<\/b> From this customer data, artificial intelligence automatically detects purchasing behaviors, identifies emerging interests, or uncovers subtle signals that the company can leverage in future campaigns. The result: richer, more actionable customer knowledge\u2014and more targeted marketing actions. <\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” header_3_font=”Montserrat|600|||||||” header_3_text_color=”#0092ff” header_3_line_height=”1.5em” custom_margin=”30px||30px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||40px||false|false” global_colors_info=”{}”]<\/p>\n Let\u2019s take the example of an automaker preparing to launch a new hybrid model. The goal: <\/span>to refine its CRM database<\/b> in order to target the right profiles with a relevant message.<\/span><\/p>\n It all starts with <\/span>a gamified campaign. <\/b>Participants answer a few questions in the form of a quiz:<\/span><\/p>\n Once this data is collected, <\/span>AI comes into play<\/b>. It analyzes the responses and automatically identifies regular urban usage, high sensitivity to total cost, a need for autonomy, and caution regarding charging constraints.<\/span><\/p>\n Result: the participant is automatically assigned to the “Hybrid” profile, predefined alongside other segments such as “Gasoline” or “Electric.” This new profile is enriched in the CRM and becomes <\/span> immediately actionable for targeted campaigns. [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=”section-3″ _builder_version=”4.19.4″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”sommaire-4″ _builder_version=”4.27.4″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#000000″ text_font_size=”25px” header_2_font=”Montserrat|700|||||||” header_2_font_size=”25px” header_2_line_height=”1.3em” custom_margin=”||30px||false|false” link_option_url=”#sommaire-1″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” header_3_font=”Montserrat|600|||||||” header_3_text_color=”#0092ff” header_3_line_height=”1.5em” custom_margin=”30px||30px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||40px||false|false” global_colors_info=”{}”]<\/p>\n AI-powered CRM segmentation is an automated process that groups contacts in a CRM database based on behavioral, declarative, or contextual criteria. AI detects patterns invisible to the human eye and creates more precise and relevant customer segments. <\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_line_height=”1em” header_line_height=”1.5em” header_3_font=”Montserrat|600|||||||” header_3_text_color=”#0092ff” header_3_line_height=”1.5em” custom_margin=”30px||30px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||40px||false|false” global_colors_info=”{}”]<\/p>\n AI segmentation is more precise, adaptive, and faster than traditional segmentation. artificial intelligence can continuously analyze large volumes of data, detect subtle signals, and create dynamic segments in real time. <\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_line_height=”1em” header_line_height=”1.5em” header_3_font=”Montserrat|600|||||||” header_3_text_color=”#0092ff” header_3_line_height=”1.5em” custom_margin=”30px||30px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_text_color=”#000000″ text_font_size=”16px” custom_margin=”||40px||false|false” global_colors_info=”{}”]<\/p>\n\n
<\/span> <\/li>\n<\/ul>\n\n
The limitations of traditional marketing segmentation<\/strong><\/h2>\n
<\/blockquote>\n
How AI is transforming CRM segmentation?<\/h2>\n
<\/span><\/p>\nThe benefits of AI-driven segmentation for marketing<\/strong><\/strong><\/h3>\n
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Mini glossary AI & CRM<\/strong><\/strong><\/h3>\n
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How gamified campaigns enrich CRM and enhance customer knowledge?<\/h2>\n
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Categorizing your customer base with a marketing game: a concrete example<\/strong><\/strong><\/h3>\n
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<\/span><\/li>\n<\/ul>\n
<\/b><\/p>\nFAQ \u2014 AI and CRM segmentation: 4 key takeaways<\/h2>\n
What is CRM gamification powered by AI?<\/strong><\/strong><\/h3>\n
What are the advantages of AI segmentation compared to traditional segmentation?<\/strong><\/h3>\n
What types of data can AI analyze to segment a CRM database?<\/strong><\/h3>\n