{"id":11130,"date":"2026-06-18T07:26:32","date_gmt":"2026-06-18T13:26:32","guid":{"rendered":"https:\/\/attentionmedia.io\/?p=11130"},"modified":"2026-06-18T07:26:32","modified_gmt":"2026-06-18T13:26:32","slug":"what-customers-tell-friends-that-marketers-miss","status":"publish","type":"post","link":"https:\/\/attentionmedia.io\/?p=11130","title":{"rendered":"What customers tell friends that marketers miss"},"content":{"rendered":"
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The most important step before writing a marketing headline is understanding what drives your customer. Across all the performance marketing campaigns I\u2019ve optimized for travel, retail, construction, medical, and health brands, the same pattern holds. Get to know the customer first, and the results follow.<\/p>\n

In today\u2019s automated media environment, ad platforms now handle most of the targeting and bidding for you. As a result, messaging and creative are the main variables you still control.<\/p>\n

Industry research<\/a> consistently attributes roughly half of sales lift to creative. This means the brand with the messaging that resonates has the edge. Reducing a buyer\u2019s anxiety is often the difference between a meaningfully higher CTR and wasted ad spend.<\/p>\n

I\u2019ll show you how to apply this insight and improve marketing campaign performance using a framework I call Friendship Codes.<\/p>\n

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Understanding customers like a friend<\/h2>\n

Friendship is reciprocal. To build campaigns like a friend, you need context, understanding, and insights.<\/p>\n

Behavioral economists and psychologists have well-documented processes to uncover this information. Marketers have long turned to these experts for insight into customer emotions, identity signals, silent frustrations, and unspoken motivators.<\/p>\n

Now, AI can apply simplified versions of these processes to analyze engagement data, customer prompts, call recordings, and more.<\/p>\n

The Friendship Codes AI skill<\/h2>\n

I built Friendship Codes into an AI skill<\/a>, using Need Codes<\/a> as the underlying behavioral model. As a set of written instructions you give an AI assistant once, a skill performs a complex task the same disciplined way every time you ask. Think of it as a standard operating procedure (SOP) that the project or chat follows.<\/p>\n

Instead of re-explaining your method in every chat, define it once. Include the drivers to look for, questions to ask, output format to follow, and rules to never break. From then on, you provide the AI assistant with new data, and it runs your playbook rather than improvising or starting over each time.<\/p>\n

Creating a skill takes more time at first but makes future work easier. Once you build a thoughtful, high-context skill, you can hand the AI assistant a messy pile of owned and external inputs. These might include transactional history, survey responses, focus group transcripts, Google Business reviews, Amazon reviews, app store comments, and competitor copy.<\/p>\n

How to build the Friendship Codes skill<\/h2>\n

You don\u2019t need my exact tooling to build your first skill. But you do need a clear set of drivers, a thoughtful collection of business data, and the time to think critically about what you learn.<\/p>\n

To build your first skill, start with four core drivers:<\/p>\n