The Customer Insights Marketers Overlook
▼ Summary
– Understanding customer drivers is the most important step before writing a marketing headline, as messaging and creative are the main variables marketers control in automated ad environments.
– Industry research attributes roughly half of sales lift to creative, and reducing a buyer’s anxiety can improve click-through rates and reduce wasted ad spend.
– The Friendship Codes framework uses an AI skill based on Need Codes to analyze customer data, identifying dominant drivers like Function, Conformity, Experience, and Impulse.
– The skill processes inputs like CRM data, reviews, and transcripts to output insights such as purchase fears, dominant drivers, and a sequenced plan across the customer lifecycle.
– In practice, a premium homebuilder used the framework to identify buyers’ fear of hidden costs, rewriting a headline to “Luxury without the headaches,” which boosted search marketing CTR by 30%.
Before writing a single marketing headline, the most important step is understanding what truly drives your customer. Across the many performance marketing campaigns I have optimized for industries like travel, retail, construction, medical, and health, a consistent truth emerges: know your customer first, and the results will follow.
In today’s automated media environment, ad platforms handle most of the targeting and bidding for you. This leaves messaging and creative as the primary variables you still control. Industry research consistently attributes roughly half of all sales lift to creative quality. This means the brand whose message resonates best has a clear edge. Reducing a buyer’s anxiety can often be the difference between a meaningfully higher click-through rate and wasted ad spend.
I will show you how to apply this insight to improve campaign performance using a framework I call Friendship Codes.
Understanding Customers Like a Friend
Friendship is reciprocal. To build campaigns like a friend, you need context, understanding, and genuine insights. Behavioral economists and psychologists have long documented processes to uncover these elements. Marketers have traditionally turned to these experts for insight into customer emotions, identity signals, silent frustrations, and unspoken motivators.
Now, AI can apply simplified versions of these processes to analyze engagement data, customer prompts, call recordings, and more. This is where the Friendship Codes AI skill comes into play.
The Friendship Codes AI Skill
I built Friendship Codes into an AI skill, using Need Codes as the underlying behavioral model. A skill is a set of written instructions you give an AI assistant once, allowing it to perform a complex task with the same disciplined approach every time you ask. Think of it as a standard operating procedure (SOP) that your project or chat follows.
Instead of re-explaining your method in every conversation, define it once. Include the drivers to look for, the questions to ask, the output format to follow, and the rules to never break. From that point on, you provide the AI with new data, and it runs your playbook rather than improvising or starting over each time.
Creating a skill takes more effort upfront but makes future work much easier. Once you build a thoughtful, high-context skill, you can hand the AI 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.
How to Build the Friendship Codes Skill
You do not need my exact tooling to build your first skill. However, you do need a clear set of drivers, a thoughtful collection of business data, and the time to think critically about what you learn. To build your first skill, start with four core drivers:
- Function: Trust and long-term value.This skill identifies which drivers are dominant for your audience and returns structured information. You will get outputs like which fear is blocking the purchase, which driver is doing the real work, and where the Venn diagram circles overlap. Then, the skill creates a sequenced plan across the customer lifecycle, from acquisition through advocacy, laying out what to do and when.
The Friendship Codes Framework
First, gather your data. This includes customer relationship management (CRM) information, reviews, survey responses, search terms, competitor messages, and relevant Reddit posts. The goal is to understand how people talk when they are being completely honest.
Next, bring in context about what success looks like for your business. Clarify what has worked in the past. Then, run the Friendship Codes skill and ask the following questions:
- What would your customer tell a friend but not say in a survey?
How Friendship Codes Works in Practice
This framework provided valuable insights for a premium homebuilder I worked with. We discovered that buyers spending over $500,000 are terrified of hidden upgrade costs and the regret that follows. This insight helped us rewrite the headline. A generic version said something like “Quality new homes.” The friendship-coded version answered the fear directly: “Luxury without the headaches.”
We took that insight and tested copy across channels, including search marketing, email marketing, and social media marketing. The search marketing campaigns saw a click-through rate (CTR) boost of 30%.
The same insight applies at every stage. At acquisition, it resolves the fear in a search headline. After purchase, it becomes a retention moment: a proactive check-in confirming there were no surprise costs and that the friend who follows up is still there.
Use AI to Drive Understanding and Connection
The brands that win the next few years will use AI to understand people more deeply and then act on that understanding with the warmth of a friend who shows up consistently, remembers what matters, admits mistakes, and gives as much as it gets. Use AI to move faster and explore what matters most to your customers. Then, think critically and communicate like a friend who truly understands.
(Source: MarTech)
