Unlock Your Ideal Customers Faster
Expanding your reach doesn’t mean lowering your standards. With better lookalike audience modeling, marketers can find new customers that match the profile of their best performers without relying on third-party cookies or outdated signals.
Whether you’re running paid media campaigns on Meta, Google, or programmatic platforms, the quality of your seed data is everything. The better your seed audience, the more accurate your lookalikes, and the more efficiently you spend.
AtData empowers you to supercharge your lookalike models using high-quality, real-time email data enriched with behavioral, transactional, and intent signals.
The result: smarter acquisition, lower cost per lead, and higher return on ad spend.
Why this matters today
- Third-party cookies are fading, so owned data must work harder.
- Email remains a universal, stable identifier ideal for privacy-first targeting.
- Activity-rich audiences perform better so your model learns faster.
- Quality seed data = better lookalikes, and that means more conversions.
AtData Solutions in Action
Enrich and Expand Seed Audiences
To build highly accurate and scalable lookalike audiences, the quality and depth of your seed data are paramount. AtData’s suite of solutions enhances your base audiences by validating, enriching, and appending critical data points giving your models stronger, more predictive signals for audience expansion.
SafeToSend
Validating your seed list is the foundation of effective lookalike modeling. SafeToSend improves the accuracy of your data by identifying invalid, risky, or undeliverable email addresses before they enter your modeling pool. By filtering out these addresses, you reduce noise and improve seed list quality, helping platforms like Meta or Google build models based on reliable, contactable users.
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Quality Score
Not all email addresses are created equal. Quality Score uses advanced algorithms to assess each contact’s engagement, digital footprint, and purchase propensity. By scoring and segmenting your seed audience, you ensure that your lookalike models learn from your highest-value, most predictive customers, dramatically improving campaign efficiency and conversion rates.
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Alternate Email
Many consumers use multiple email addresses, but your data often only captures one. Alternate Email identifies and appends secondary or alternate email addresses linked to individuals or households, broadening your seed audience without sacrificing accuracy. This enrichment means your models have a more complete picture of your best customers, enabling expanded reach with stronger lookalikes.
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Postal Append
Geographic data plays a key role in building contextual and location-aware lookalike audiences. Postal Append attaches verified address information to your seed records, enabling geo-targeted campaigns and refined audience segmentation. With location data, your models can better identify regional behaviors and preferences, delivering lookalikes that convert better in specific markets.
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Demographic Append
Layering demographic attributes like age, income, household composition, and more onto your seed audience adds critical dimensions for smarter modeling. Demographic Append enriches your data with verified consumer traits, allowing your lookalike algorithms to capture nuanced audience signals beyond behavior alone, resulting in higher-fidelity audience profiles and improved targeting precision.
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SafeToTrust
Fraudulent or risky identities skew model accuracy and inflate campaign costs. SafeToTrust leverages AtData’s fraud prevention network to identify and exclude email addresses associated with coupon abuse, fake signups, and other promotional fraud. By removing these damaging data points, your lookalike models are trained exclusively on genuine, trustworthy consumers. Boosting ROI and protecting brand reputation.
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Benefits and Differentiators
How AtData Improves Lookalike Audiences
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Improved Audience Precision
Model from high-value users only
Focus your seed list on the most active, high-quality identities to improve model training and outcomes.
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Fraud and Bot Suppression
Train your model on real humans only
Eliminate fraud-prone or bot-generated emails before modeling, reducing ad waste and CPA.
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Activity-Based Segmentation
Build smarter models using behavior
Segment by last open date, usage frequency, and purchase behavior to model more accurately than with static traits.
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Privacy-First Targeting Support
Compliant, hashed emails for ad platforms
Use hashed identifiers for secure, privacy-conscious lookalike modeling on Facebook, Google, and more.
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Faster Time to Value
Integrate and activate quickly
AtData’s solutions plug into your current stack, speeding up activation on paid channels or in your CDP.
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Proprietary Activity Network
Unmatched behavioral coverage
Our real-time signals span 100B+ monthly events, giving you the broadest and most reliable signal source in market.
Better Modeling Starts with Better Data
Building a great lookalike audience isn’t about luck—it’s about input quality. If your seed audience includes unengaged users, bad emails, or fraudulent identities, your model learns the wrong things. With AtData, you can clean, enrich, and activate the best data foundation possible so you stop wasting spend and start scaling predictably.
The power of lookalike modeling depends on signal fidelity, volume, and recency. We help you optimize all three.
Let’s Build Smarter Audiences Together
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Affiliate Marketing
Automotive
eCommerce and Retail
FinTech
LeadGen
Nonprofit and Political
Payments
Technology Platforms
Tourism and Hospitality
