A machine learning-enabled analytical technique points out audience segments that display demographic and behavioral characteristics similar to your present and best customers.
Lookalike modeling aims to generate profiles of your ideal customers based on present data.
Reach the relevant audience with lookalike modeling solutions
Identify the most valuable prospects
Benefits of lookalike modeling services are
Improved Lead Generation
Reduced Market Spend
Increased Brand Awareness
More Accurate Targeting
Better Understanding of Customers
Increased Conversions
Industries we cover
Our affordable lookalike modeling solutions are suitable for industries such as:
Determine the next best customer for you.
Expand market reach with our data-based models
Our Lookalike Modeling Services
- Performance monitoring :
Descriptive reporting to track impact and ROI.
- Audience profiling :
Complete analysis of your current customer base.
- Multiplied ad targeting :
You can expect increased conversion rates along with click-through rates by targeting correct people.
Why Choose Express Analytics for Lookalike Marketing Services?
Express Analytics’ look-alike modeling services help you identify new, unique customers and prospects via automated data analysis.
At Express Analytics, we go beyond traditional demographic data.
1. AI-based Models
Our modern AI algorithms consistently clarify lookalike profiles for improved campaign performance.
2. Omnichannel Reach
Target lookalike audiences on channels where they’re always active – displays ads, apps, email, or social media.
3. Measurable Results
Monitor your campaigns’ success with clear insights into several performance metrics including CPA, CTR, and ROI.
Why Is Lookalike Modeling Useful?
How Does Audience Modeling Work?
- Examine your finest customers : Identify your most loyal and engaged customers using modern data analysis.
- Create modules : Use algorithms to highlight major characteristics shared by such customers.
- Targeted campaigns : Introduce accurate, multi-channel strategies that yield high-value conversions.
- Constant monitoring : Monitoring present performance to ensure campaigns stay productive.
Lets Connect –
Reports that can be generated through lookalike models
|
Report Type |
Key Metrics |
Purpose |
Example Metrics |
|
Audience Profile Report |
Demographics, Behavioral Traits |
Understand similarities between lookalike and seed audiences. |
Demographic breakdown: 60% women (seed) vs. 55% (lookalike); Purchase frequency: 3x/month (seed) vs. 2x (lookalike). |
|
Conversion Rate Report |
Conversion rates (Lookalike vs. Non-Lookalike) |
Measure how well lookalike audiences convert into customers. |
Lookalike audience: 8% conversion rate, Non-lookalike: 3% conversion rate. |
|
ROI and CPA Report |
ROI, CPA |
Assess cost-effectiveness of lookalike campaigns. |
Lookalike CPA: $15/customer; Broad campaign CPA: $25/customer. ROI: Lookalike campaign 200%, broad campaign 100%. |
|
Engagement Metrics Report |
CTR, Open Rate, Click Rate |
Track how lookalike audiences engage with marketing content. |
CTR: 4.5% (lookalike) vs. 2.2% (non-lookalike); Email open rate: 30% (lookalike) vs. 18% (non-lookalike). |
|
Customer Lifetime Value Report |
CLV |
Estimate the long-term value of lookalike customers. |
CLV: Seed audience $500, Lookalike audience $450, Non-lookalike audience $300. |
|
Lookalike Match Quality Report |
Match scores, similarity clusters |
Evaluate the accuracy and quality of lookalike audiences. |
Match Score: 85% similarity with seed audience; Cluster 1 (high match) 90%, Cluster 2 (moderate match) 75%. |
|
Channel Performance Report |
CTR, Conversion Rate by Channel |
Identify the best-performing channels for lookalike targeting. |
Facebook Ads CTR: 3.8% (lookalike) vs. 1.5% (non-lookalike); Google Ads CTR: 2.2% (lookalike) vs. 1.1% (non-lookalike). |
|
Ad Spend Efficiency Report |
Cost per conversion, ad spend |
Optimize marketing budget and resource allocation. |
Lookalike: $5 per conversion, Non-lookalike: $12.50 per conversion. |
|
Churn Rate Report |
Churn rate (Lookalike vs. Non-Lookalike) |
Measure long-term retention and engagement of lookalike customers. |
Churn rate: 10% (lookalike) vs. 20% (non-lookalike) after 6 months. |
|
Geographic Performance Report |
Conversion rates by region |
Analyze geographic distribution and performance of lookalike audiences. |
Region A conversion rate: 12%, Region B: 5%, Region C: 8%. |
What Questions Does the Lookalike Model Resolve for Clients?
- How can I find more customers like my best ones?
- Which audience segments are most likely to convert?
- How can I lower my customer acquisition cost (CAC)?
- How do I improve the ROI of my marketing campaigns?
- How can I expand into new markets with similar audiences?
- Which advertising channels should I prioritize?
- How can I personalize my marketing efforts?
- Who is more likely to stay loyal and have a high CLV?
- How do I optimize ad spend for better performance?
- How do I reduce customer churn by targeting the right audience?
- How can I test new product launches or services with the right audience?
- How can I improve my campaign targeting and audience segmentation?
To get answers to these questions, fill out this contact form.
- How can I find more customers like my best ones?
Identifies and targets new prospects similar to your high-value customers. - Which audience segments are most likely to convert?
Predicts which prospects are most likely to respond to marketing efforts and convert. - How can I lower my customer acquisition cost (CAC)?
Increases efficiency in targeting, resulting in lower CAC. - How do I improve the ROI of my marketing campaigns?
Focuses resources on high-potential audiences, improving conversion rates and ROI. - How can I expand into new markets with similar audiences?
Identifies potential customers in new regions with similar traits to existing ones. - Which advertising channels should I prioritize?
Identifies the channels where lookalike audiences are most engaged and active. - How can I personalize my marketing efforts?
Helps segment audiences for more tailored marketing messages. - Who is more likely to stay loyal and have a high CLV?
Targets audiences that resemble your most loyal, high-value customers. - How do I optimize ad spend for better performance?
Focuses ad spend on high-potential customers, increasing cost-efficiency. - How do I reduce customer churn by targeting the right audience?
Attracts customers less likely to churn and more likely to remain loyal. - How can I test new product launches or services with the right audience?
Targets customers most likely to be interested in new products based on similarity to existing customers. - How can I improve my campaign targeting and audience segmentation?
Refines audience segmentation for more precise targeting in campaigns.
