Predictive targeting and optimization
for Facebook and Google ads
Turn your behavioural first-party data
into measurable business results
We help you optimize Facebook & Google Ads
for bottom-of-the-funnel results (Sales or LTV), not CPA or micro-conversions.
We work best for Real Estate, Financial Services, SaaS or EdTech
Targeting
Use audiences optimized for expected lifetime value. Target new visitors with high intent, create value-based seeds for look-alikes, and retarget right recent visitors
Optimization
Leverage smart bidding from Ad Platforms that will learn 10x-30x faster how to bring high intent new and returning visitors, and pay only for incremental customer lifetime value and business outcomes
Measurement
Learn true ROI for channels, campaigns, and ads using the real-time post-click predictive attribution model based on behavioral first-party data
Insights
Guide Major Ad Platforms’ smart bidding to learn how to bring new and returning high-intent visitors 10-30x faster. Pay only for incremental value and business outcomes
Our platform provides the biggest efficiency gains for businesses that have:
Narrow target audience
Think of B2B/SaaS, affluent/high-net-worth customers, and “precisely timed purchases” like you shop for insurance only once a year or you buy a new house or car every few years
Large and variable transactions
You sell multiple products with different economics to similar customers like in EdTech or your customer lifetime value is driven by after-purchase behaviour like in Banking
Significant offline component
You offer high-value and/or complex products that require human-to-human interaction – like a test drive for a new car or an open house
Long sales cycle
It is hard to close the feedback loop with Ad Platforms when the actual purchase is days, weeks or even months away from website visit. Our platform solves that
Smarter than smart bidding!
We use behavioral first-party data from your website and machine learning to predict your future sales and customer LTVs
We turn your website into e‑commerce
from an Ad Platform perspective, allowing you to:
Unlock smart bidding
even for B2B and smaller businesses/advertisers
Help the Ad Platforms train 10-30x faster
compared to the conventional approach with infrequent transactions
Link Ad efficiency directly to your actual business results
not “noisy” or “biased” online microconversions
Enable 10x faster and cheaper A/B tests
allowing you to test more hypotheses quicker and easier
Save a lot of time and effort
by eliminating unnecessary workload like managing cost-per-click bids manually campaign by campaign
Our platform is a game-changer
Check out the examples below
-
5x lower
CPL -
3x higher
ROI -
5x lower
budget -
1.7х
revenue growth,
same ROI
Showcases predictive targeting and optimization
Facebook Ads:
2x improvement in ROAS
Results of A/B split test for Facebook Display ADS
Slightly higher CMP, CPC, Cost per
Contact but 2x improvement for ROAS
Try us – it is easy to start!
Proof of concept project takes 3-4 months.
Configuration is as simple as 1 2 3. How it works?
models training
Plans and pricing
| Features |
STARTER
Insights from Offline Conversions
$250
per month
|
Advanced
Measurement with Predictive Attribution
$5000
per month
|
Premium
Targeting and Optimization
Schedule a call
to learn more |
|---|---|---|---|
|
Included monthly unique users
|
300 000 |
3 000 000 |
Unlimited |
|
Website pixel for behavioral data collection
|
✓ | ✓ | ✓ |
|
Data feed integration to collect offline transactions from CRM
|
✓ | ✓ | ✓ |
|
Marketing API integration with Facebook and Google ad accounts
|
✓ | ✓ | ✓ |
|
Upload offline transactions to Facebook and Google
|
✓ | ✓ | ✓ |
|
ROI / CPA analysis for offline transactions
|
✓ | ✓ | ✓ |
|
Seed audiences for look-alikes from offline transactions
|
✓ | ✓ | ✓ |
|
Predictive sales and ROI attribution based on ML-models for incremental lifetime value
|
✓ | ✓ | |
|
Expected ROI / CPA analysis of various sources of traffic based on incremental lifetime value
|
✓ | ✓ | |
|
Lead-scoring based on expected lifetime value
|
✓ | ✓ | |
|
Predictive retargeting segments
|
✓ | ||
|
Predictive seed-audiences for value-based look-alikes
|
✓ | ||
|
Smart bidding Ads optimization for expected incremental lifetime value
|
✓ |
to learn more
Insights from Offline Conversions
- Included monthly unique users: 300 000
- Website pixel for behavioral data collection
- Data feed integration to collect offline transactions from CRM
- Marketing API integration with Facebook and Google ad accounts
- Upload offline transactions to Facebook and Google
- ROI / CPA analysis for offline transactions
- Seed audiences for look-alikes from offline transactions
- Predictive sales and ROI attribution based on ML-models for incremental lifetime value
- Expected ROI / CPA analysis of various sources of traffic based on incremental lifetime value
- Lead-scoring based on expected lifetime value
- Predictive retargeting segments
- Predictive seed-audiences for value-based look-alikes
- Smart bidding Ads optimization for expected incremental lifetime value
Our Team
Founder & CEO Konstantin Bayandin
- ex-MarTech at Compass (NYSE: COMP)
- ex-CMO at Ozon (NASDAQ: OZON)
- ex-BCG (Boston Consulting Group)
- Stanford MBA
- MSc in Theoretical Physics
Growth Dmitry Popov
- ex-Fortune Global 500 executive
- ex-McKinsey
- startup investor and advisor
- Stanford GSB (executive education)
- Higher School of Economics (Moscow)
Tech lead Roman Kirsanov
- seasoned tech founder and CTO
- ex-Eng lead at Ozon (NASDAQ: OZON)
- 15+ years in software development
- distinguished software architect
Marketing Olesya Akimenko
- 5+ years of B2B marketing
- ex-CMO Freedom Finance (NASDAQ: FRHC)
- Higher School of Economics (Moscow)
Customer success Andrey Kuzmichev
- 15+ years in Digital Marketing
- ex-Head of Client Acquisition at AlfaBank
- ex-Digital Marketing and Personalization lead at Ozon (NASDAQ: OZON)
- Computer science degree
UX/UI Julia Angilova
- 8+ years in Product Management
- 5+ years of bizops management
- seasoned tech entrepreneur
- Computer science degree
Ready to get started?