Help Facebook and Google target high value customers.
Predict Lead Outcomes
to optimize for Value
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Pyxl.ai - the tool that predicts the lead value
so you can optimize
for ROAS
on Facebook and Google Ads and get Higher Value Customers
With complex machine learning under the hood, pyxl.ai predicts the value of your customer based on thousands of parameters and uploads it to Ad platforms. This is NOT another bidder or analytics platform
Pyxl.ai pixel data:
- Behavior patterns
- Device Info
- Browser Data etc.
CRM data:
- Prequalifying data
- Information obtained about the customer
- Sale state info
800$
650$
Facebook Ads
Google Ads
predicted value
8000$
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7000$
Let your competitors overpay for junk leads while you cherry pick
Let’s Imagine a simplified example - most of the advertisers in B2B are currently using target CPA or optimize for the cheapest lead. Lets Imagine your company starts using target ROAS optimization towards using Predicted Values.
- Competitors acquire A,C,E
- Revenue: $125
- Cost : $300
- ROAS: 41%
- Your company gets B,D
- Revenue: $875
- Cost: $220
- ROAS: 400%
Leverage all the data you have access to
Lets look at Google Ads - its ai learns only from the users that come through G Ads. And only within the effective attribution window (2 weeks according to the G reps), making it hard for non-ecommerce businesses to work efficiently. Pyxl.ai learns from all the data available.
Organic
Affiliate
Other
2 yr
1 yr
1 mth
2 week
CRM Data
Bring everything to a “common denominator” - the value that users represent to the business. Not the metrics that don't matter
Let your competitors overpay for non-converters while you cherry pick
Less campaigns and ad groups - audiences of different values can live in the same bucket.
One bidding optimization algorithm - TROAS - optimizing for the value.
Spend less on A/B tests - especially for long-sales cycle businesses
Insights into actions - that indicate clients of a higher value
Usecases
Lead-Based businesses
Lead-Based businesses
- Business: Water Filtration Services
- Budget: $100 000/mo+
- Problems: low lead conversion rate, targeting issues, high CPA
SAAS
- Business: Software for B2B business
- Budget: $1 000 000/mo+
- Problems: long sales cycle (not within the attribution window), unable to optimize towards conversion value, fragmented account, spammy leads
Subscription businesses
Subscription businesses
- Business: Food Subscription Company
- Budget: $500 000/mo+
- Problems: variable LTV, some customers are 5x the average value, high CPA
Pyxl.ai is built on AWS so it's a bulletproof solution for your business.
We help you with all the integrations and tracking
We setup the proper structure of the accounts and make sure it performs