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The Broken Funnel ReportHealthcare Edition
How AI has transformed the healthcare and dental buying journey, and the data needed to shape your 2027 AI agent roadmap
With the caution has come a lack of patient journey visibility
Healthcare marketers are the most cautious AI adopters in our 2026 Broken Funnel study. Just over a third have conversational AI agents live with patients, a third are still evaluating, and one in ten have no plans at all, the highest share of holdouts in any industry we surveyed. Meanwhile, AI answer engines like ChatGPT, Claude, and Google AI Overviews have become the top source of qualified leads for healthcare brands, ranked ahead of paid search, Google Business Profile, and organic search. Website traffic is holding up, with most reporting modest growth over the past year.
With the caution has come a lack of patient journey visibility. Fewer than three in ten healthcare marketers running or piloting AI agents can follow a lead from the first digital interaction through to a booked appointment. Nearly 80% judge AI agent performance on something other than revenue or booked outcomes, the highest share of any industry, with patient satisfaction the most common yardstick. Only 17% can both see and influence a lead once it’s routed to a practice, clinic, or local location, and less than a quarter can reliably send conversion signals from AI agents back to their ad platforms.
Healthcare has moved slowly on AI agents, and the data suggests the industry is measuring the agents it does have like service tools while AI-informed patients arrive ready to book.
Whether you’re a CMO looking to maximize digital marketing ROI, a digital marketer working to improve conversion rates, or a patient experience professional building for the AI age, this data will help guide your AI strategy in the coming year.
Research highlights
AI search hasn’t killed healthcare website traffic, but it has moved the digital front door
Healthcare brands aren’t seeing the apocalyptic traffic drops dominating headlines in the B2B and publishing worlds. Compared to 12 months ago, 60% report gains in website traffic, though a third report modest growth of 9% or less, and 35% say traffic is flat or declining. When asked what’s driving the change, healthcare marketers point first to search platform algorithm changes, with shifts in category demand, paid media performance, and AI answer engines like ChatGPT, Claude, Gemini, and Google AI Overviews close behind.
The best leads are coming from AI answer engines
As we previously reported in the Invoca Lead Benchmark Report, the most qualified leads are now coming from AI answer engines like ChatGPT, Claude, and Gemini. That holds true for healthcare, where 46% rank AI answer engines among their top three sources of qualified leads, a five-point lead over the next-best source and the clearest margin of any industry in the study. Patients are using AI to understand conditions, compare providers, and interpret reviews before they ever land on a practice website, so by the time they call or fill out a form, they’re further along than a traditional search visitor.
Healthcare AI agent adoption is slower than other industries, and the shortcomings are already showing
Conversational AI agents are arriving in healthcare more slowly than anywhere else in the study. Just under 60% of healthcare marketers report they’re piloting AI agents or have them live and in front of patients, compared with 71% across all industries surveyed. Nearly a third are still evaluating, and 10% have no plans at all. Among those with agents live, phone is the most common channel at 62%, followed by SMS at 59% and website chat at 58%.
Most healthcare marketers don’t measure AI agent success on revenue outcomes
Roughly four in ten healthcare marketers rank booking appointments, qualifying leads, or moving conversations toward a completed sale among the primary purposes for their AI agents. However, very few are actually measuring their agents on those outcomes. Nearly 80% use a KPI other than revenue or booked outcomes to determine agent performance.
The missing link: AI agents are disconnected from the buyer journey
AI agents should ostensibly contribute to the bottom line, but most healthcare marketers aren’t measuring their success against revenue-related metrics. The data shows this may be because they can’t. Only 23% of healthcare marketers surveyed said they can connect complete conversion data from their AI agents to their ad platforms, and only 29% can confidently track leads handled by AI agents from click to conversion.
This disconnect also impacts the patient experience and conversion rates. Fewer than a third of healthcare marketers said their AI agents can use a lead’s digital journey data prior to the engagement. Without that data, agents start every conversation from scratch, frustrating patients by making them repeat information.
Agent can see the customer’s digital journey and use it
Conversations tied back to the campaign, keyword, or ad
Outcomes can be returned to ad platforms as conversion signals
The AI would need to be perfectly integrated with our real-time CRM and inventory data. More importantly, it must have a flawless handoff system that instantly routes a high-intent buyer to a live human representative the moment the conversation gets complex.
Marketing manager, healthcare, 1,000–4,999 employees
Healthcare marketers can spot AI-driven leads, but then lose them further down the funnel
Most healthcare marketers report they can attribute leads to AI answer engines like ChatGPT, Claude, and Gemini, but with less certainty than their peers in other industries. 81% say they can usually identify a lead that began in an AI answer engine, yet only a third can do it for most leads, and one in ten aren’t sure whether they can at all.
Attribution breaks down when leads leave marketing’s hands
The clear view of attribution breaks down at the most important part of the patient journey. Only 17% of healthcare marketers can both see and influence a lead once it’s routed to a practice, clinic, or local location. Phone call, web form, and text or chat attribution fares only slightly better. For a multi-location health system or DSO, that means the majority of booked appointments are invisible to the team that paid to generate them.
It has made consumer behavior much harder to track using traditional analytics, as many users gather information about our brand entirely inside the AI interface before ever visiting.
Marketing manager, healthcare, 1,000–4,999 employees
| Lead destination | Lose attribution | |
|---|---|---|
| Business locations, practices, clinics, etc. | 83% | |
| Text or chat | 71% | |
| Phone call | 68% | |
Over 70% of healthcare marketers running or piloting AI agents cannot fully track leads from the first click through to conversion. That makes revenue attribution, ROAS calculation, and conversion data-driven ad optimization inaccurate at best and, realistically, impossible.
Are healthcare marketers overestimating their speed-to-lead?
When we surveyed consumers earlier this year about how quickly brands respond after someone submits a lead form, the data showed they were clearly falling short of expectations. Over half of consumers said they expected a response within an hour, but only 32% actually received one within that window.
Consumer data: Invoca Healthcare Consumer Experience Report
When we posed the same question to healthcare marketers in this survey, 83% said they respond to lead form inquiries within an hour. That’s a massive disparity that is difficult to reconcile or dismiss as self-reporting bias. In our previous consumer survey, 20% of consumers said they expect a response within 5 minutes, and 79% choose the brand that responds fastest. For a patient in pain or a parent trying to book a same-day appointment, an hour is plenty of time to call the next practice on the list.
Healthcare brands lose a significant number of leads—and revenue—to slow response times and unanswered calls
Whether or not healthcare brands are actually responding to leads within an hour of contact, they concede that they are losing significant lead volume to slow responses and unanswered calls. 1 in 4 healthcare marketers (25%) say they lose 20% or more of inbound leads to slow response times and unanswered calls.
What AI agent capabilities do healthcare marketers really want?
Healthcare marketers want AI agents that know who’s calling and can get them on the schedule. Ask them what would make their agents more useful, and recognizing a returning patient and having their history tops the list, with 45% ranking it among their top three improvements, followed closely by automating appointment scheduling at 43%. Those two priorities say a lot: healthcare runs on repeat relationships and booked time slots, and an agent that can’t recognize an existing patient or put them on the calendar is a dead end. Evidence from across the survey suggests that agents disconnected from buyer journey data are causing significant reporting headaches and revenue leakage.
A great agent recognizes where someone is in the buying journey, provides immediate answers, and hands off the full history to a rep when needed. Bad agents operate like dead-end IVRs that annoy high-intent buyers.
C-level or SVP in marketing, healthcare, 1,000–4,999 employees
Learn how the Invoca Data + AI Platform powers better experiences and outcomes for healthcare brands
Invoca connects every online and offline touchpoint, and every AI agent conversation, in your patient journey to revenue. Learn how healthcare and dental marketing, patient access, and contact center teams use Invoca’s Data + AI Platform to optimize demand, qualify leads, and convert more inquiries into booked appointments.
Schedule a demoSurvey methodology
Gather fielded a 20-question guided interview with US marketing leaders between 14 September and 5 October 2026. Respondents qualified at the manager level or above, at companies with 100 or more employees. This report draws on the 125 healthcare (including dental) responses from the broader study of 451 B2C marketing leaders across automotive, healthcare (including dental), home services, financial services (including insurance), and telecom. Respondents have direct or shared responsibility for lead conversion, paid media performance, customer engagement channels, or website and demand generation.