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Industries / Healthcare / Pain Point
healthcare

A patient booked. Where did they come from?

A patient books an appointment. Did they find you on Google? Were they referred by another physician? Did they see a Facebook ad three months ago? Nobody knows because the scheduling system does not talk to the marketing tools. askotter connects the dots without exposing PHI.

94%
sources identified
per-patient
source attribution
3.1x
LTV gap between channels
how askotter closes this gap

The fix does not wait for a monthly report.

Real behavior gets read as it happens. The weak spot gets found, fixed, and signed off by a human, and the result shows up in the same view.

The referral black box

Healthcare practices acquire patients through five or more channels: Google Ads, physician referrals, organic search, social media, and community events. But scheduling systems only capture who booked, not how they found you. Without attribution, you cannot tell if the $5K/month Google Ads budget drives more patients than the physician lunch-and-learn that cost $200.

High-value vs. low-value sources

Not all patients are equal in lifetime value. Physician referrals produce patients with 3.1x higher LTV ($4,200 avg) versus Google Ads ($1,350). But volume differs too: 23 referral patients per month versus 89 from Google. Without per-source LTV data, you cannot optimize your mix. You end up spending based on volume, not value.

How askotter attributes patient sources

askotter connects marketing platforms, scheduling data, and anonymized appointment records to map patient journeys. A Google search, followed by a website visit, followed by a review check, followed by a booking creates a multi-touch attribution chain. HIPAA-aware. No PHI enters the data lake. Your practice sees which channels drive which patients and their downstream value.

what askotter catches

Real-time detection in action.

Dr. Patel referral network: 14 new patients this month (avg: 6). Lunch-and-learn event correlated. High-LTV cohort. 1h ago
natural language query
"Which channel drives highest-LTV patients?"
Physician referrals: 3.1x higher LTV ($4,200 avg) vs Google Ads ($1,350). But lower volume: 23/mo vs 89. Recommend: increase physician outreach 40%, maintain Google Ads for volume. Community events show 2.4x LTV but only 8 patients/mo.
Sources: Scheduling + Marketing + Billing
metrics that matter

KPIs this pain point directly impacts.

Understanding these metrics helps you measure the problem and track improvement. Each links to our full glossary definition with formulas, benchmarks, and role-specific context.

CAC
Customer Acquisition Cost
Customer Acquisition Cost (CAC) measures the total sales and marketing expenditure required to acquire one new paying customer over a given period. It encompasses all costs including ad spend, salaries, tools, and agency fees divided by the number of new customers gained. Tracking CAC helps organizations assess the efficiency and scalability of their growth engine.
ATTRIBUTION-COVERAGE
Attribution Model Coverage
Attribution Model Coverage measures the percentage of conversions or revenue events for which the analytics system can attribute credit to specific marketing touchpoints, channels, or campaigns. Low coverage indicates significant untracked traffic (dark social, direct, or untagged campaigns) that makes budget allocation decisions unreliable. High coverage enables confident channel investment decisions.
LTV
Customer Lifetime Value
Customer Lifetime Value (LTV) estimates the total net revenue a business expects to generate from a single customer relationship over its entire duration. It accounts for average purchase value, purchase frequency, gross margin, and expected customer lifespan or retention rate. LTV is the foundational metric for understanding how much a company can profitably spend to acquire a customer.
CVR
Conversion Rate
Conversion Rate (CVR) measures the percentage of users who complete a desired action out of all those who had the opportunity to do so, such as the percentage of website visitors who complete a purchase or form submission. It is one of the most impactful levers in any digital marketing or product funnel because improvements multiply across all traffic volume. CVR can be measured at any funnel stage: click-to-visit, visit-to-lead, lead-to-opportunity, or opportunity-to-close.
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the shift

The shops down the street already run on AI.
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0% of small businesses already use AI-enabled tools U.S. Chamber of Commerce, 2024
0% projected annual growth of the AI market through 2030 Grand View Research
more likely to win customers when decisions are data-driven McKinsey Global Institute
$0T AI's projected boost to the global economy by 2030 PwC
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