Clicks, Site Visits, and Conversions: A Pharma Funnel Diagnostic
A reconciliation waterfall for pharma media that separates measurement loss from real user loss between clicks, site visits, and conversions.
The short answer
A pharma campaign reports 10,000 clicks. The website shows 6,000 visits from the campaign. The conversion platform shows 150 completed actions. Where did everyone go? Some losses are real: people left the page or chose not to act. Others are measurement losses: tracking failed, ad blockers stopped tags, or systems counted differently. Treating measurement loss as user loss leads to wrong fixes.
A reconciliation waterfall separates the two.
The waterfall
| Stage | Count | Loss from previous | Likely type |
|---|---|---|---|
| Ad clicks (ad platform) | 10,000 | ||
| Landing page loads (web analytics) | 6,000 | 4,000 | Mixed |
| Engaged visits | 3,000 | 3,000 | Mostly real |
| Conversion page reached | 600 | 2,400 | Mostly real |
| Conversions recorded | 150 | 450 | Mixed |
Illustrative figures.
Common measurement losses
Click to page load
- Accidental clicks, especially on mobile, where the person leaves before the page loads.
- Slow pages, where people leave before analytics loads.
- Ad blockers and consent choices preventing analytics from recording.
- Invalid traffic counted as clicks but never reaching the page.
- Different definitions of a click between platforms.
Some of these are real user behavior; some are measurement gaps. Test by comparing server logs with analytics where possible.
Conversion page to conversion
- Tag not firing on the confirmation page. See tag validation.
- Form errors that stop submission.
- Conversion recorded in a different system, such as a call center.
Common real losses
- Message mismatch between ad and landing page.
- Unclear next step. See landing experience evaluation.
- Form friction or eligibility barriers. See patient support handoffs.
How to separate them
- Compare systems. Server logs, analytics, and ad platform counts for the same period.
- Test the path yourself on several devices and consent settings.
- Look by source. If one partner's clicks lose far more at page load, suspect traffic quality.
- Check timing. Sudden drops often mean tracking broke.
Privacy note
Funnel analysis on health sites must respect privacy. Avoid sending sensitive page or form data to analytics or ad platforms. HHS guidance on online tracking technologies is a useful reference.
Practical takeaway
Build the waterfall monthly. For each large drop, label it measurement, real, or unknown, and note the evidence. Fix measurement losses first so you can see real behavior clearly.
Sources
- HHS, Use of Online Tracking Technologies by HIPAA Covered Entities
- Media Rating Council, Standards and Guidelines
External guidance and platform documentation change. Links were current at publication; check them again before relying on them for a decision.
Editorial note. Analysis and frameworks are the author's own and do not represent Acxiom or any current or former employer, client, or named platform. Examples labeled hypothetical or illustrative are not results from real campaigns. Nothing here is legal, regulatory, or medical advice.
New pharma programmatic breakdowns, occasionally
One email when I publish something worth reading. Benchmarks, measurement teardowns, and case studies with the caveats attached. No cadence promises, no reselling your address.
Unsubscribe any time. See the privacy policy.
Working through this decision on a real plan?
I work on health and pharma data, identity, and activation, after five years running HCP and DTC programmatic agency-side. Happy to talk through how this applies to your situation.