Online segmentation of website visitors to boost the performance of AAA Auto campaigns
AAA Auto needed to better understand who was actually driving traffic to their website—and which types of visitors had a genuine intention to purchase.
At Data Mind, we therefore used web behavioral data to create a segmentation model that distinguished “buyers” from the majority of casual visitors and translated this distinction into concrete marketing decisions.
The result was 10 clearly defined segments and a practical guide on how to improve targeting, offers, and audience exclusion to enhance campaign effectiveness and drive subsequent sales.
Data Science
We discover hidden patterns and connections in your data for better customer understanding, process optimization, and future development prediction.
Process optimizations
Sjednocení a integrace dat z různých zdrojů, automatizace, zrychlení zpracování dat...
Web analytics
We measure and analyze the behavior of visitors to your websites and applications for better performance, conversion, and user experience.
Marketing Segmentation
content personalization and campaign targeting
Custom AI
We will design, develop, and implement solutions tailored to your specific context
Not every visit is valuable. Segmentation will show you where to invest.
Key findings
10 visitor segments
based on purchase intent
300+ behavioral attributes
analyzed from web data
ROI > 5 within 180 days
thanks to more precise campaign targeting
Do you want to boost your marketing ROI? Visitor segmentation will show you where to invest.
Discuss the project without obligationProject Context
AAA Auto wanted to better distinguish between website visitors based on their actual purchasing intent. The website generated a high volume of traffic, but the marketing team lacked a tool that would allow them to distinguish between visitors genuinely interested in making a purchase and those who were simply browsing the car listings.
Segmentation was intended to enable the marketing team to better manage campaigns, target investments more accurately, and increase conversions within the sales funnel.
The website had a wide reach, but without segmentation, the budget was spread too thinly across visitors who weren’t there to make a purchase but just to browse, and there was a lack of clear prioritization.
Key Challenges
- apply the analytical model to marketing practice
- identify signals of purchase intent from web behavior
- identify stable segmentation dimensions
- determine the optimal number of segments
Data Mind Solutions
We analyzed website visitor behavior and identified more than 300 behavioral attributes that describe their interactions with the website.
The result was a segmentation model based on visitors' online behavior.
The procedure included:
- web behavior analysis
- selection of relevant attributes
- definition of segmentation dimensions
- mathematical optimization of the number of segments
- segment profiling and interpretation
Výsledek
- 10 segmentů s charakteristikou
- Top potenciál: segmenty 7,10,2
- Nízký potenciál: 1,3,6
- Speciální nabídka: segmenty 4,5
- Profil kupujících vs. „vlažných“
The result was 10 segments with investment priorities and clear guidelines on who to target, who to make an offer to, and who to exclude.
= more precise campaign targeting, better decision-making regarding marketing investments, and significantly greater marketing budget efficiency
Technologies Used
- Microsoft ecosystem
- Customer segmentation
- Optimization of Dimensions and Clusters
- Web behavioral data
- Using Insights for Marketing Targeting
The solution was built on the Microsoft stack and statistical modeling, which ensured reliable segmentation and its integration into marketing tools.
Benefits
- Greater campaign effectiveness
- Significant impact in the first month
- ROI > 5 within 180 days
- Allocation of funds to high-potential visitors
- A better understanding of visitor and actual customer behavior
The project delivered a quick return on investment, increased campaign effectiveness, and more informed decisions about where to allocate the budget and where to cut costs.
Not every visit is equally valuable. Find out who’s worth targeting.
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