The short answer
No single channel usually earns all the credit. Decide what counts as a conversion (a booked call, a form or an online booking), tag every link with UTM parameters, track calls, and ask new patients how they found you. In Google Analytics and Google Ads, choose between data-driven attribution and last click, keep that choice steady, and judge channels on booked new patients rather than clicks.
What attribution is
A new patient rarely books after one touch. Someone might click a Google ad, read two pages, leave, see your Google Business Profile a few days later and then call. Attribution is the set of rules that decides which of those touches gets credit for the call. Google describes an attribution model as a rule, a set of rules or a data-driven algorithm that splits credit across the path.
This matters because budget follows credit. If a model hands everything to the last touch, channels that introduce you to new people can look useless. If tracking is missing, every channel looks weak. Attribution does not have to be perfect to be useful, but it has to be consistent and tied to booked patients.
First touch, last click and why they disagree
First touch gives all credit to the first interaction. Last click gives all credit to the final click before the conversion. On the path above, first touch credits the ad and last click credits the profile visit. Both are true and both leave something out.
In Google Analytics, the last click options are paid and organic last click (credit to the last channel clicked, ignoring direct visits) and Google paid channels last click (credit to the last Google Ads click, falling back to paid and organic last click when there is none). First click, linear, time decay and position-based models were retired in November 2023, so older advice built on them no longer matches the tools.
The question "How did you hear about us?" works like a rough first or most-memorable touch. Keep asking it. It catches word of mouth, signs, insurance directories and other offline touches that no analytics tool sees.
Data-driven attribution
Data-driven attribution is now the main multi-touch option in Google's tools. It looks at paths that converted and paths that did not, and estimates how much each click or engaged ad view changed the odds of a key event. Google notes that the model is specific to each advertiser and each conversion, and that credit can be reassigned for up to 7 days after a conversion.
In Google Ads, data-driven is the default for most conversion actions and last click is the only rules-based model still supported. The model you choose also feeds automated bidding such as Target CPA, so changing it changes what the system optimizes for. The Model comparison report shows how campaigns and keywords would look under each model before you switch.
Pro tip
Write down which model each report uses. A month-over-month comparison is only fair when the model, the conversion and the lookback window stay the same.
How patients actually find a practice
Paths vary by service. An emergency visit can go from search to phone call in minutes. Implants, clear aligners or cosmetic work often involve several visits to the site, reviews, a price question and a consult request. Your own data is the only reliable guide to how long the path is for your practice; use the Attribution paths report in Google Analytics to see common sequences before you assume one.
Many touches never appear in analytics: a friend's recommendation, a drive past the office, a call from a Maps listing on someone else's phone. That is normal. Combine tool data with the front-desk answer instead of forcing one source to explain everything.
Set up tracking you can trust
- •Define conversions. Mark the events that matter (booking confirmation, form submission, click to call) as key events in Google Analytics, and import or mirror them in Google Ads.
- •Tag links. Add UTM parameters to email, social, print QR codes and any non-Google ads so they show up as their own source and campaign instead of "direct."
- •Track calls. Use Google Ads call conversion tracking with a sensible minimum call length, or unique numbers per channel through a dashboard such as SmileTrak.
- •Log the outcome. Record in the practice management system whether each lead booked and showed. Credit is only useful when it reaches a completed first visit.
- •Check settings. In Google Analytics admin, review the reporting attribution model, which channels can receive credit and the key event lookback window, and note them in your report.
Keep clinical details out of URLs, UTM values and event names. A campaign called "implants-fall" is fine; anything that names a patient or condition is not.
Common mistakes
- •Cutting the introducer. A channel that rarely gets last click can still start many paths. Look at data-driven or path reports before you cut it.
- •Over-crediting brand searches. Someone searching your practice name already knows you. Separate brand and non-brand campaigns so paid brand clicks do not look like new demand.
- •Counting clicks, not patients. Report booked and completed first visits by channel, then cost per new patient.
- •Comparing mismatched reports. Google Ads and Google Analytics can differ because of model, lookback window and date of credit. Match the settings first.
- •Starting late. Tracking only applies from the day it is installed. Set it up before a new campaign, not after.
Once credit is consistent, use it in a regular review. Our marketing spend audit guide shows how to turn it into cost per new patient, and the monthly report guide covers what to show each month.
Naming those actions as key events, and splitting the counts by office, is in GA4 calls, forms, and bookings.
Sources
Frequently Asked Questions
What is marketing attribution?
Attribution is how you decide which ads, searches, emails or posts get credit when someone books, calls or fills out a form. A model is the rule or algorithm that splits that credit. Different models can tell different stories about the same patients, so pick one on purpose and keep it steady when you compare months.
Which attribution models does Google Analytics offer now?
Google Analytics offers data-driven attribution, paid and organic last click, and Google paid channels last click. First click, linear, time decay and position-based were retired in November 2023. Google Ads likewise supports data-driven and last click. Direct visits only get credit when the whole path was direct.
Should a practice use data-driven or last click?
Data-driven is the default for most Google Ads conversion actions and uses your own account data to estimate each touchpoint's contribution. It needs enough conversions to learn from. Last click is simpler to explain. Many practices report on one model and use the Model comparison report in Google Ads to see what the other would say before changing bids.
How do I attribute phone calls?
Count calls from ads with a minimum call length, use a Google forwarding number or your own tracking numbers on the website, and give the front desk a short script to log how each new patient heard about you. Then record whether the call booked. A ring count alone does not tell you which channel produced patients.
Why do Google Ads and Google Analytics show different numbers?
They can use different attribution models, lookback windows and channels that are allowed to receive credit, and Google Ads may count a conversion on the date of the ad click. Check the attribution settings in both tools before you assume tracking is broken, and compare the same conversion and date range.