Recently, MeDomino CEO Lu Wenqing was invited to attend the CIAPH Pharmaceutical and Healthcare Industry Summit. Before leaving, Lu used ChatGPT to write two opening remarks.
Lu: "Write an opening remark for a conference hosted by the CIO Development Center. The speech topic is XXX, and the main content is XXX."
ChatGPT quickly replied.
Lu then said, "Too direct. Quote me directly."
ChatGPT instantly understood what he meant and quickly rewrote it.
The change we feel in the AIGC era is like someone suddenly taking out a gun while everyone else is still fighting with swords. So on the marketing side of pharma and medtech companies, what work can AI help us do?
This article is excerpted from a speech by MeDomino founder and CEO Lu Wenqing at the CIAPH Pharmaceutical and Healthcare Industry Summit.
01 The 5C Model for Precision Marketing in Pharma and Medtech
The 5C model is not a new concept, but in an era without data and intelligence, it was only a concept. Only now can it truly be realized:
1. Customer: who. The first task in marketing is identifying who our customers are, namely the right people.
2. Concept: mindset. In healthcare, everyone talks about mindset and wants it, but it has always felt somewhat vague because there was no objective and accurate mindset data.
3. Community: circles. In healthcare, circles truly exist and are widely used. They are crucial for event organization, resource allocation, and topic selection.
4. Content. Only by applying the right tags to content can we know which content can influence which people, connecting people and content systematically to maximize value.
5. Channel. Analyze which channels customers prefer for engagement.
This is the 5C model for precision marketing in the AIGC era, and it combines extensive data applications.
02 Tags = Data Classification?
Let us give the answer first: tags are not simply data classification.
Based on the 5C model, enterprises can use data to drive business growth. But data itself is not the goal; the goal is personalized, automated precision marketing. Therefore, after datafication, we need tagging for large-scale automated application. Enterprises have large amounts of internal data, but it is not being used effectively. Moreover, internal data alone is far from enough. We find that many pharma and medtech companies have a very strong need for external data.
For example, the simplest question is: "What field does one of my customers focus on?" Internal data cannot answer it.
That is only for individual customers. If we want group-level personalized, automated precision marketing, what do we need?
We need tags.
We need to simplify and abstract data, design a tag system, and implement the algorithms behind it. Based on this need, MeDomino has already helped many pharma and medtech companies complete this work. MeDomino's tag platform can customize relevant tags in different scenarios, meet refined scenario needs, and combine audience selection functions to find the right customers, run the right activities, and create practical value for business departments.
After solving these, the first three Cs are addressed, while the last two Cs are equally important.
One is content. Every enterprise has a great deal of content. What we need to solve is whether these assets can be automatically tagged, quickly retrieved, and reused on demand. This is foundational.
Built around this real scenario for pharma and medtech companies, MeDomino created the one-stop content management platform MeDomino Content Hub, using AI technology to solve the problem. Once content is dragged and uploaded, MeDomino Content Hub can automatically complete tagging. With secondary human confirmation, precise content reuse can be formed for specific scenarios.
MeDomino Content Hub can also form page-level tags. When no ready-made suitable content exists, existing content can be quickly retrieved and pages can be combined to generate new content. Looking back, by combining the content tag system with customer tags, enterprises can understand different customers' tendencies toward different content and find more suitable content and channels for engagement.
In summary, the previous 5C model was a concept. Now, because of AI technology, we have made it real and made data truly usable. Contact us to request a product trial.
