Qualifyed.AI - Lookalike Audiences
Qualifyed.AI - Lookalike Audiences - Qualifyed.AI provides AI predictive audiences and lead scoring using ML models trained on first-party data, independent of third-party cookies.
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What is Qualifyed.AI - Lookalike Audiences?
Qualifyed.AI - Lookalike Audiences is a media-buying and audience-targeting platform that builds lookalike (lookalike) audiences using your first-party buyer data instead of pixel/cookie-based signals. After iOS 14.5 and the decline of third-party cookies, Facebook/Meta native lookalikes have become much less effective; this tool replaces that by training a machine learning model on your existing customers and then scoring the US population to find cold prospects who closely match your ideal buyer.
The core workflow is simple: upload a seed file of US consumer PII ( hashed emails, names, etc.), match it against marketing and credit-bureau databases across 3,400+ offline attributes, and train a machine learning model that captures what your buyers look like. That model is then applied to 96% of US adults, who are pre-scored on likelihood to convert before they’ve ever heard of your brand. The resulting high-score audience is delivered as a hashed email list via LiveRamp into your ad accounts (Facebook, Meta, and other media-buying platforms) so you can run ads against a highly targeted, high-propensity cold audience.
This tool is designed for performance marketers, media buyers, DTC brands, lead-gen businesses, and companies with in-house sales teams who are struggling with rising CPL, falling ROAS, and poor lookalike performance. It is especially valuable for B2B and high-ticket businesses that can afford to invest in better audience quality and need more predictable customer acquisition. By focusing on offline, cookie-less attributes and first-party data, Qualifyed’s AI Predictive Audiences gives SMBs access to technology previously available only to Fortune 500 companies, without long-term contracts or enterprise-level pricing.
Qualifyed.AI - Lookalike Audiences pricing
Pricing model: Paid
Qualifyed uses customized enterprise pricing plans rather than public tiered subscriptions. Pricing is discussed with a sales/expert team and is tailored to media spend, data volume, and integration needs. There is no publicly listed free tier; clients typically pay for ongoing access to audience modeling, data scoring, and hashed email list delivery, with no long-term contracts required.
Qualifyed.AI - Lookalike Audiences pros
- Works with first-party buyer data instead of pixels or cookies
- Immune to iOS 14.5 and future third-party cookie changes
- Scores 96% of US adults before they know your brand
- Uses 3,400+ offline attributes from marketing and credit databases
- Delivers audiences as hashed email lists via LiveRamp
- Compatible with Facebook/Meta and other media-buying platforms
- Targets cold prospects with high conversion propensity
- Replaces low-performing native Facebook lookalike audiences
- Brings Fortune 500-level audience modeling to SMBs
- No long-term contracts required
- Focuses on offline data attributes that won’t vanish with cookie deaths
- Can significantly improve ROAS and lower CPL compared to broad targeting
- Works even when 96% of users opt out of tracking
- Integrates cleanly into existing ad account workflows
- Designed for performance marketers, DTC brands, and lead-gen businesses
Qualifyed.AI - Lookalike Audiences cons
- Limited to US consumers only
- Requires you to have a first-party buyer seed file
- Needs PII data (hashed emails, names, etc.) to start
- Audience delivery depends on LiveRamp integration
- Most beneficial for US-focused media buys
- May be overkill for very small local businesses
- Does not replace the need for strong creative and offers
- Requires media-buying setup knowledge to execute properly
- Pricing is enterprise/custom and not publicly transparent
Frequently asked questions about Qualifyed.AI - Lookalike Audiences
What are AI Predictive Audiences?
AI Predictive Audiences are lookalike audiences built by training a machine learning model on your existing first-party buyer data and then applying that model to the US population. The system scores 96% of US adults on likelihood to convert and returns a high-propensity cold audience as a hashed email list for use in ad platforms.
How is this different from Facebook’s native lookalike audiences?
Facebook’s lookalikes rely heavily on pixel and third-party cookie data, which is now severely limited after iOS 14.5 and cookie restrictions. Qualifyed instead uses first-party PII and 3,400+ offline attributes from marketing and credit databases, making the model cookie-less and more accurate for finding cold traffic that truly resembles your buyers.
What data do I need to get started?
You need a seed file of US consumer first-party PII, such as hashed emails, names, or other identifiers of your existing customers or buyers. This file is ingested and matched against marketing databases to power the model training and scoring process.
Which countries are covered by this tool?
The current AI Predictive Audiences model covers US consumers only. It scores 96% of US adults and delivers audiences targeted at the US market via hashed email lists.
How do I use the audience in my ad campaigns?
Once the model is trained and scored, Qualifyed delivers the audience to your ad account via LiveRamp as a hashed email list. You can then upload or sync this list into Facebook/Meta Ads or other media-buying platforms and run campaigns against that high-propensity cold audience.
Is this technology only for large enterprises?
No. While the underlying technology was previously used mainly by Fortune 500 companies, Qualifyed has democratized it for SMBs. Businesses without enterprise budgets or long-term contracts can access similar predictive audience modeling at a fraction of the cost.
What happens if Facebook changes its API or data policies again?
Because Qualifyed’s models are built on offline, cookie-less attributes and first-party PII, they are largely immune to future changes in third-party cookies or pixel tracking. As long as you can upload hashed email lists to ad platforms, the audience workflow remains valid.
Can I use this for B2B lead generation?
Yes. The tool is commonly used by B2B companies to reduce customer acquisition costs and improve lead quality. By modeling your existing B2B buyers across 3,400+ attributes, you can find cold prospects who closely match your ideal B2B customer profile.
How often are the audiences updated or refreshed?
Audiences are based on your current first-party buyer data and the underlying marketing databases. In practice, you can re-run the model whenever you have a new or updated seed file, allowing you to refresh audiences as your customer base evolves.
Do I need technical expertise to use AI Predictive Audiences?
You need basic media-buying setup knowledge to ingest hashed email lists into ad platforms, but you do not need to build or manage machine learning models yourself. Qualifyed handles the modeling and scoring; your team focuses on campaign setup, creative, and optimization.