User Behavior: Orthodontist’s Marketing Edge

Understanding user behavior analysis is no longer optional for modern marketing; it’s essential for campaign success. By meticulously tracking and interpreting how users interact with your marketing efforts, you can unlock insights that drive better results. Are you ready to stop guessing and start knowing what your audience wants?

Let’s dissect a recent marketing campaign we ran for a local orthodontist, Dr. Patel, located right here in Alpharetta, Georgia, near the North Point Mall area. The goal was simple: increase new patient consultations. The execution, however, required a deep dive into user behavior analysis to maximize our return.

Our budget was $7,500 for a three-month campaign, targeting adults (25-54) and parents (35-65) in North Fulton County. We focused on two primary channels: Google Ads and email marketing, complemented by retargeting ads on Meta.

The strategy hinged on attracting potential patients searching for orthodontic solutions and nurturing them through the sales funnel. We wanted to target people actively searching for orthodontic services in the Alpharetta area.

Google Ads Campaign Breakdown

We structured our Google Ads campaign around a core set of keywords related to orthodontic treatments: “Invisalign Alpharetta,” “braces for adults,” “clear aligners near me,” and “orthodontist near me.” We also included location-specific keywords to target residents in neighborhoods like Windward and Milton. We set up conversion tracking to monitor phone calls and form submissions on Dr. Patel’s website.

• Budget: $4,000
• Duration: 3 months
• Targeting: Adults (25-54) and Parents (35-65) in North Fulton County, GA
• Initial CPL (Cost Per Lead): $80
• Initial ROAS (Return on Ad Spend): 2:1
• CTR (Click-Through Rate): 3.5%
• Impressions: 125,000
• Conversions (Consultation Bookings): 50
• Cost Per Conversion: $80

Initially, the campaign performed decently, but we knew we could do better. The CPL was higher than our target of $60, and the ROAS, while positive, wasn’t maximizing Dr. Patel’s investment.

User Behavior Analysis: Google Ads

We started by analyzing search term reports within Google Ads. This revealed that while our core keywords were performing well, we were also attracting irrelevant traffic from searches like “orthodontist jobs” or “orthodontist school.” Negative keywords were immediately added to filter out these non-converting searches.

Next, we examined the user behavior on the landing page. We used Hotjar to generate heatmaps and session recordings. The heatmaps showed that many users were scrolling past the consultation booking form, indicating it wasn’t prominent enough. Session recordings confirmed this, with users appearing to hunt for the form.

We also looked at Google Analytics 4 (GA4) data, specifically bounce rates and time on page. Pages with higher bounce rates and shorter session durations indicated areas where users were quickly leaving the site. A Nielsen study highlights the importance of first impressions; users often make snap judgments about a website’s credibility within seconds.

Optimization Steps: Google Ads

Based on our findings, we implemented the following changes:

1. Landing Page Optimization: We redesigned the landing page, placing the consultation booking form above the fold and making it more visually appealing. We also added trust signals, such as patient testimonials and before-and-after photos.
2. Keyword Refinement: We added more specific long-tail keywords, such as “Invisalign cost Alpharetta GA” and “affordable braces for adults,” to target users with higher intent.
3. Bid Adjustments: We increased bids on high-performing keywords and decreased bids on underperforming ones. I’ve found that a 15% increase in bid cap can significantly improve lead quality for high-intent keywords.
4. Ad Copy Testing: We ran A/B tests on ad copy, experimenting with different headlines, descriptions, and calls to action.

Email Marketing Campaign

Our email marketing campaign targeted existing patients and a list of prospects who had previously expressed interest in Dr. Patel’s services. We segmented the list based on age, past treatments, and expressed interests. If you are marketing to beginners and experts, segmentation is key.

• List Size: 2,500
• Segmentation: Age, Past Treatments, Expressed Interests
• Open Rate (Initial): 18%
• CTR (Initial): 2%
• Conversion Rate (Initial): 0.5%

The initial results were underwhelming. Open rates were acceptable, but click-through and conversion rates were low.

User Behavior Analysis: Email Marketing

We used the email marketing platform’s analytics to track which links users were clicking and which emails were generating the most engagement. We also analyzed the user behavior flow, identifying where users were dropping off in the email sequence.

One key insight was that personalized emails performed significantly better than generic ones. For example, emails addressing specific concerns about Invisalign or offering discounts on braces for teens resonated more with their respective target audiences.

Optimization Steps: Email Marketing

1. Personalization: We increased the level of personalization in our emails, tailoring the content to each segment’s specific needs and interests.
2. Segmentation Refinement: We further refined our segmentation, creating smaller, more targeted groups based on user behavior.
3. A/B Testing: We ran A/B tests on email subject lines, body copy, and calls to action.
4. Email Sequence Optimization: We adjusted the timing and content of our email sequence based on user behavior data.

Meta Retargeting Campaign

Our Meta retargeting campaign targeted users who had visited Dr. Patel’s website but hadn’t yet booked a consultation. We showed them ads featuring patient testimonials, before-and-after photos, and special offers.

• Budget: $1,500
• Targeting: Website Visitors
• CTR: 0.8%
• Conversion Rate: 1.2%

The retargeting campaign served as a gentle reminder to book a consultation. We used custom audiences based on website activity to target users who had shown specific interest in certain treatments.

Results After Optimization

After implementing the optimization steps based on user behavior analysis, we saw significant improvements across all campaigns:

Google Ads:

• CPL: Reduced from $80 to $55
• ROAS: Increased from 2:1 to 3.5:1
• CTR: Increased from 3.5% to 5%
• Conversions: Increased from 50 to 80
• Cost Per Conversion: $55

Email Marketing:

• Open Rate: Increased from 18% to 25%
• CTR: Increased from 2% to 7%
• Conversion Rate: Increased from 0.5% to 2%

The Meta retargeting campaign also saw a slight increase in conversion rates.

Lessons Learned

This campaign highlighted the importance of continuous user behavior analysis and optimization. Here’s what nobody tells you: marketing isn’t a “set it and forget it” activity. It requires constant monitoring, analysis, and adjustment to stay ahead of the curve.

For example, we initially assumed that “Invisalign” was the top-performing keyword. However, after analyzing search term reports, we discovered that “clear aligners for adults” was actually driving more qualified leads. We shifted our budget accordingly, and the results spoke for themselves.

Another crucial lesson was the power of personalization in email marketing. Generic emails simply don’t cut it anymore. Users expect personalized experiences that address their specific needs and interests. For more on this, see our article Insightful Marketing: Stop Guessing, Start Connecting.

A IAB report emphasizes the growing importance of data-driven marketing. Marketers who embrace user behavior analysis are better positioned to deliver relevant and engaging experiences that drive results. This is where data-driven marketing leads to profitability.

In conclusion, user behavior analysis is an indispensable tool for any marketer looking to improve campaign performance. By understanding how users interact with your marketing efforts, you can identify areas for improvement and make data-driven decisions that drive better results. Don’t just guess – know what your audience wants. If you want to cut your CPL, see how we cut CPL 35% for a law firm.

Ready to turn those insights into action? Start by installing a heatmap tool on your website today. You’ll be amazed at what you discover about your users’ behavior — and how much it can impact your bottom line.