Lead intelligence · New

Lead quality and booking analytics for dental agencies — “Your ads worked.
Here’s what happened next.”

Every unbooked lead now carries the actual reason it did not convert, ranked by volume and split by the channel that delivered it.

Leads · Booking outcomes
Last 30 days
Top reasons, ranked
Insurance Issues31%
No Answer22%
Cost Concerns18%
Shopping Around14%
No Availability Soon9%
Booked Dana R.
SEO
Insurance Issues Marcus T.
Google Ads
No Answer Priya S.
Meta Ads
Cost Concerns Alan W.
SEO
How it works

What Reasons Not Booked proves for you.

1

Proof the lead was good

Every lead that did not book carries the actual reason it fell over — insurance, cost, no answer, shopping around, and 23 more. A lead you delivered stops being written off as a bad lead.

2

The channel column that ends the argument

Reasons split by the channel that delivered the lead. When Google Ads sends people who were ready and the booking still failed, the data says so plainly.

3

A retention story you can bring monthly

When a client asks why the spend is not converting, you arrive with a ranked list of what actually happened instead of a theory.

Leads · Booking outcomes
Last 30 days
Top reasons, ranked
Insurance Issues31%
No Answer22%
Cost Concerns18%
Shopping Around14%
No Availability Soon9%
Booked Dana R.
SEO
Insurance Issues Marcus T.
Google Ads
No Answer Priya S.
Meta Ads
Cost Concerns Alan W.
SEO
Reasons Not Booked

End the lead-quality argument
with evidence.

The hardest conversation in agency life is the one where a client blames the campaign. Without the reason a lead went cold, it is your word against theirs.

Now you can show it: the traffic converted, and the booking was lost to an insurance question or an unanswered callback. And because it is per channel, a genuine traffic problem still shows up as one.

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FAQ

Frequently Asked Questions

What agencies ask before putting this in a client report.

Ask us directly
Can I show this to a client?

Yes, and most agencies do. Reasons Not Booked sits inside the white-label dashboard, so the client sees your brand on the report. It is one of the few things you can show that explains a slow month without it being a conversation about your campaigns.

How is the reason determined?

PatientLoop analyses the call and the lead record and classifies the outcome against 27 reason codes. It updates automatically as new calls come in, so nobody on your team or the client’s team does any tagging.

What if the reason turns out to be our traffic?

Then you will see it, and you will see it first. Out of Area and Shopping Around concentrating in one channel is a targeting signal. Finding that in your own dashboard is considerably better than a client finding it in theirs.

Prove it with data.

See it on your own data.

Get Started

Get a demo.

See Reasons Not Booked and the rest of PatientLoop in action. No commitment.

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