医疗营销行业重构数据基础设施,追逐实时投放效果与可量化 ROI
Healthcare Marketers Rethink Infrastructure in Search of Real-Time Results
- 1医疗营销高管称传统活动上线即过时,计划所用的目标数据已是六个月前的旧文件
- 2CMI Media Group 称叙事式投放对孤岛式定向在对照测试中达到 5 比 1 以上 ROI
- 3与会者预计出售专家的代理旧模式难撑三到五年,客户只认能换算成 ROI 的价值
- 4Publicis Health 将推广前列腺癌筛查的超级碗活动成功归因于跨团队互联与一线洞察
医疗营销的竞争点正从预排期的固定旅程转向实时数据基础设施,代理商的价值主张也从出售专家转向交付可量化的业务产出。
- 影响:依赖过期目标文件的预排期投放存在受众错配风险;选择代理商的标尺会转向业务产出与 ROI 核算;引入 AI 前需先界定要解决的具体问题,否则技术投入容易变成成本负担。
- 参考:可考虑先算出自家从数据采集到活动上线的周期,找出依赖过期数据的环节;值得在新投放测试中设置对照组,量化实时调整带来的增量;评估供应商时要求把价值换算成可验证的 ROI 口径。
- 依据:5 比 1 以上 ROI 与各案例效果均为嘉宾所在机构自述,暂无独立验证;该讨论由 Adweek 与 Doceree 合办,属厂商参与的合作内容。
This post was created in partnership with Doceree
Key takeaways
- To avoid campaigns that feel stale, marketers need to create an infrastructure they can build on and pivot from.
- When bringing AI into the mix, ensuring the technology addresses a specific problem is key.
- Investing in technology remains important, but it also needs to underscore an agency’s value to its clients.
Today’s healthcare marketers are embracing AI’s analytical capabilities in an effort to move toward new models that build stronger links from signals into relevant message delivery and measurable outcomes.
During an ADWEEK House Advertising HQ group chat co-hosted with Doceree, healthcare marketing leaders discussed how their internal infrastructure is changing to support greater intelligence tools and new methodologies that deliver better results for clients.

Finding success with interconnected teams
Kamya Elawadhi, co-founder and president of Doceree, kicked off the discussion by recognizing that traditional marketing campaigns may be outdated once they run.
“By the time we get approvals, and by the time we actually launch the campaigns, the audience that we started off planning has changed their behavior. It’s six-month-old target files or data that we are trying to plan against,” Elawadhi said.
But with the right infrastructure, healthcare marketers can rely less on time-based or orchestrated journeys, explained Alex Farber, VP of business development with Real Chemistry. She described how her agency did some campaign testing for a client that needed to funnel unique content journeys across multiple audience segments.
“What we found in these campaigns was that we were able to leverage the real-time data signals we were receiving in order to gain instant real-time learning so we were able to pivot and optimize,” she explained. “And if a physician started in one journey but ended in another journey, it was OK.”
Jose Ferreira, chief product officer for CMI Media Group, shared a similar experience. His team’s hypothesis was that media delivered in a narrative-based approach would drive better results.
“We’ve seen that in test-and-control scenarios, something like 5-to-1 or greater ROI when we’re leveraging that approach vs. more of a siloed traditional approach to target those customers,” he said.
Fannie McWatt, PhD, head of data and AI strategy for Publicis Health, attributed the success of one of her agency’s most successful Super Bowl campaigns to interconnectivity. The idea for the campaign, “Relax Your Tight End,” to promote prostate cancer screening was sparked by a conversation between Publicis Health’s chief medical officer and a doctor who said patients would be more likely to screen if they realized it was a blood test.
“That insight then led to thinking about audiences, thinking about different segments, how men behave in their healthcare journeys, and then led to the creative insight and the media strategy,” she said.

Weaving technology and AI into workflow
Adopting technology for technology’s sake can be a costly endeavor, which is why the panelists stressed the importance of identifying the problems they want the tools to solve before forcing implementation.
“How do you put those safeguards in place and make sure that people are thinking about the end goal of their technology usage and not just, ‘It’s cool, it’s fun, it’s different, and it saves me time on some slides’?” posed Farber. “What do we want out of it as a work product and how can it better benefit our clients?”
The panel also emphasized the need to keep humans in the loop, with McWatt warning against treating people like data points.
“In the end, what we’re doing is delivering on human needs, and you have to make sure that whatever your solution is, it has to be a human solution,” she said.
Keeping pace with and staying open to new developments can also help agencies set themselves apart.
“Nobody knows where the industry is heading. What was interesting and new last year has completely changed and evolved,” said Elawadhi, going from talking about prompt engineering to navigating and training agents.

Today’s media agencies, tomorrow’s tech organizations
The panelists agreed that technology infrastructure investments will be necessary to keep agencies relevant.
“The legacy model of selling the experts is probably not going to be the business model that gets supported five years from now or even three years from now,” warned Ferreira.
Clients really expect to see the value of business output, added Elawadhi.
“It’s no longer about whether or not your technology fits with my technology,” Elawadhi explained. “It’s about what value you are able to add to my client, and if you’re not able to convert that value to an ROI or dollar value, agency partners will not prioritize you over others.”
Featured Conversation Leaders
来源:Adweek · adweek.com