Predictive
Marketing
Platform

We help long-cycle businesses generate
new demand by predicting business
outcomes from website user behavior

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

Pricing

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

Client type:
REAL ESTATE

Facebook Lead Ads: 3-5x better quality of leads

Facebook Lead Ads:
3-5x better quality of leads

Client type:

Small online shop with wide product range

Channel:

Facebook Lead Ads

Problem:

Low quality leads with rare conversions into visits to office and sales later in the CRM funnel

Result:

Significant improvement conversion from leads to visits to office with only a minor increase of cost per lead

Channel:

Facebook Lead Ads

Solution:

Tomi.ai segments for LTV based look-alikes and predictive dLTV attribution to manage spend between several dozen creatives

100%

+12%

-80%

-70%

CPC

Cost per
Office visit

Cost per
purchase

Control ad campaigns launched by Client are taken as 100%

Cost per purchase

-70%

Cost per office visit

-80%

CPM

-11%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
INSURANCE

Google Display Network:37% reduction in CPO

Google Display Network:
37% reduction in CPO

Client type:

Southeast Asian insurance marketplace

Channel:

Google Display Network

Problem:

High customer acquisition costs leading to low return on marketing investment

Result:

+31% ROAS and -37% CPO despite +85% cost per lead
3x lead-to-order conversion rate

Channel:

Google Display Network

Solution:

Predictive targeting and optimization from Tomi.ai to optimize campaigns for predicted ROAS, not raw leads

100%

-37%

+31%

CPO

ROAS

Control ad campaigns launched by Client are taken as 100%

CPO

-37%

ROAS

+31%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
B2B SaaS

Facebook Ads: 4x lower CAC and 2x ROAS

Facebook Ads:
4x lower CAC and 2x ROAS

Client type:

B2B SaaS (product-led company)

Channel:

Facebook Ads

Problem:

not enough deep-funnel conversions (paying customers) to effectively optimize paid ads, high CAC

Result:

4x (post-click) – 5x (post-view) lower CAC and 2x higher ROAS (sum of first payments / advertising spend)

Channel:

Facebook Ads

Solution:

Predictive lifetime value based visitor scoring, optimizing paid ads for predictive scores (synthetic conversions)

100%

+351%

-75%

+100%

Click-to-order CR

Paying customer acquisition cost (CAC)

ROAS

Control ad campaigns launched by Client are taken as 100%

Paying customer acquisition cost

-75%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
FMCG

Facebook DPA: focus on top performing products

Facebook DPA:
focus on top performing products

Client type:

Small online shop with wide product range

Channel:

Facebook Dynamic Product Ads

Problem:

Find new audience for less popular products to optimize dynamic product ads for new audience

Result:

Improvement in ROAS by up to 51%

Channel:

Facebook Dynamic Product Ads

Solution:

Tomi.ai segments for LTV based look-alikes and predictive dLTV attribution to select top-100 products by expected ROAS to spend 80% budget on them vs. the remaining product catalogue

100%

+12%

-27%

+51%

CPC

Cost per
purchase

ROAS

Control ad campaigns launched by Client are taken as 100%

Cost per purchase

-27%

ROAS

+51%

CPM

+18%

CPC

+3%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
SME BANKING

Google Search: 44% reduction in CPO

Google Search:
44% reduction in CPO

Client type:

SME Banking

Channel:

Non-brand search

Problem:

Very expensive new customer acquisition due to high competition and low quality of leads sourced online

Result:

· 44% reduction in advertising cost per open account (vs control)
· Less competitive (and expensive) sources of leads activated
· Higher quality of leads sourced

Channel:

Non-brand search

Solution:

Predictive optimization from Tomi.ai to optimize campaigns for open accounts, not raw leads

100%

-29%

+40%

-44%

Cost per lead

Visit-to-order conversion rate

Cost per order (open account)

Control ad campaigns launched by Client are taken as 100%

CPO (open account)

-44%

End-to-end conversion rate

+40%

Cost per lead

-29%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
SME BANKING

Display Ads: 32% reduction in CPO

Display Ads:
32% reduction in CPO

Client type:

SME Banking

Channel:

Display Ads

Problem:

Display ads not performing as a direct-response channel (exorbitantly high customer acquisition cost)

Result:

32% lower CPO in display ads compared to non-brand search (historic pre-optimization data)

Channel:

Display Ads

Solution:

Predictive optimization from Tomi.ai to optimize campaigns for open accounts, not raw leads

100%

-32%

CPO display

Control ad campaigns launched by Client are taken as 100%

CPO (open account)

-32%

Display ads activated as a performance channel

Cost per lead

-29%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
INSURANCE

Google Display Network:37% reduction in CPO

Google Display Network:
37% reduction in CPO

Client type:

Southeast Asian insurance marketplace

Channel:

Facebook Ads

Problem:

High customer acquisition costs leading to low return on marketing investment

Result:

+50% ROAS and -44% CPO despite +13% cost per lead
2x lead-to-order conversion rate

Channel:

Facebook Ads

Solution:

Predictive targeting and optimization from Tomi.ai to optimize campaigns for predicted ROAS, not raw leads

100%

-44%

+50%

+100%

CPO (sold insurance policy)

ROAS

Lead-to-order conversion rate

Control ad campaigns launched by Client are taken as 100%

CPO (sold insurance policy)

-44%

ROAS

+50%

Lead-to-order conversion rate

+100

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
E-COMMERCE

Google Search: long-tail keyword optimization

Google Search:
long-tail keyword optimization

Client type:

Small online shop with wide product range

Channel:

Facebook Dynamic Product Ads

Problem:

Grow the channel with ROAS being on target

Result:

+67% of budget allocation with ROAS staying on target

Channel:

Facebook Dynamic Product Ads

Solution:

Tomi.ai predictive dLTV attribution to manage spend between rare and frequent keywords

100%

+42%

+13%

+27%

+67%

Active keywords

CPC

Orders

Revenue

Control ad campaigns launched by Client are taken as 100%

Revenue

+67%

Active keywords

+42%

CPC

+13%

Orders

+27%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
E-COMMERCE

Facebook Dynamic Product Ads: 51% higher ROAS

Facebook Dynamic Product Ads:
51% higher ROAS

Client type:

E-Commerce

Channel:

Facebook Dynamic Product Ads

Problem:

Not enough conversions per product to optimize dynamic product ads for new audience

Result:

Improvement in ROAS by up to 51%

Channel:

Facebook Dynamic Product Ads

Solution:

Tomi.ai segments for LTV based look-alikes and predictive dLTV attribution to select top-100 products by expected ROAS to spend 80% budget on them vs. the remaining product catalogue

100%

+10%

-27%

+51%

Average order size

Cost per order

ROAS

Control ad campaigns launched by Client are taken as 100%

ROAS

+51%

Cost per order

-27%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
SME BANKING

Google Search:24-45% reduction in CPO for cash loans and credit cards issued by a consumer bank

Google Search:
24-45% reduction in CPO
for cash loans and credit cards
issued by a consumer bank

Client type:

Consumer bank
(Cash loans + Credit cards)

Channel:

Non-brand search

Problem:

High customer acquisition cost and relatively low quality of customers acquired online

Result:

· 24% reduction in cost per issued cash loan
· 45% reduction in cost per issued credit card

Channel:

Non-brand search

Solution:

Predictive optimization from Tomi.ai to optimize campaigns for issued loans and cards, not mere applications

100%

-24%

-45%

CPO (credit card)

CPO (cash loan)

Control ad campaigns launched by Client are taken as 100%

CPO (cash loan)

-24%

CPO (credit card)

-45%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
EDUCATION

Facebook Ads: 2.5x improvement in ROAS

Facebook Ads:
2.5x improvement in ROAS

Client type:

Small online shop with wide product range

Channel:

Facebook Display Ads

Problem:

Low conversion rate (click-> sale, <1%), long sales cycle that does not allow for deep funnel optimization

Result:

2.5x improvement in return on advertising spend with higher value of sold online courses

Channel:

Facebook Display Ads

Solution:

Use of Tomi.ai predictive optimization and targeting tools to optimize ads for incremental expected lifetime value (dLTV)

100%

+18%

+76%

-37%

+67%

+148%

Cost per Lead

Lead ->
Order CR

Cost per Order

Order value

ROI/ROAS

Control ad campaigns launched by Client are taken as 100%

ROI/ROAS

+148%

Cost per Lead

+18%

Order CR

+76%

Cost per Order

-33%

Order value

+67%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Client type:
REAL ESTATE

Display Ads: 2x lower cost per transaction

Display Ads:
2x lower cost per transaction

Client type:

Small online shop with wide product range

Channel:

Display Ads

Problem:

Not enough valuable events (Visits to the office) and property sales to optimize for

Result:

2x improvement in cost per transaction

Channel:

Display Ads

Solution:

Use of Tomi.ai predictive optimization and targeting tools to optimize ads for incremental expected lifetime value (dLTV)

100%

+18%

+196%

-49%

-23%

-47%

CPC

Click ->
Order CR

Cost per
Qualified lead

Cost per
Office visit

Cost per Order

Control ad campaigns launched by Client are taken as 100%

Cost per Order

-47%

CPC

+18%

Order CR

+196%

Cost per Qualified lead

-49%

Cost per Office visit

-23%

Ad campaign without Tomi.ai

Similar ad campaign using Tomi.ai during the same period of time

Results of A/B-tests

Control ad campaign launched by client are taken as 100%

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?

Set up

Tomi.ai pixel collects online data. CRM feed with offline transactions. Ad Platform integration via APIs

1-2 weeks

Data collection &
models training

The goal is to collect 100-300 “positive outcomes” to train machine learning models

4 weeks

«Live» launch in Facebook/Google

“Dry run” in Facebook and Google, measurement and predictive attribution results are ready

2 weeks

A/B tests

Controlled experiments to measure incremental performance uplift across platforms, channels and campaigns

4 weeks

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

15+ years in software development
seasoned tech founder and CTO
ex-Eng lead at Ozon (NASDAQ: OZON)
distinguished software architect

Sales Francis Ikhine

5+ years in B2B Sales
Eurovision сontestant from Ukraine

Sales Yulia Kostina

3+ years in digital marketing
Launched special projects for Philips Morris International NYSE: PM
Deakin University alumni (Melbourne, Australia)

Marketing Olesya Akimenko

5+ years of B2B marketing
ex-CMO Freedom Finance (NASDAQ: FRHC)
Higher School of Economics (Moscow)

Tech Product Ayrat Mardanov

5+ years in Digital Marketing
ex-Marketing Analytics Lead at Cian
MSc in Physics

Data Science
Andrey Sapronov

17+ years in data analysis
ex-lead data analyst at Yandex
ex-data scientist at Rubbles
Ph.D. in high energy physics (CERN, JINR)

UX/UI Julia Angilova

5+ years of bizops management
8+ years in Product Management
seasoned tech entrepreneur
Computer science degree

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

Join our team!

Learn more

Featured in

Ready to get started?

Request demo Get started

Predictive Marketing Platform

Targeting

Optimization

Measurement

Insights

Our platform provides the biggest efficiency gains for businesses that have:

Narrow target audience

Large and variable transactions

Significant offline component

Long sales cycle

Smarter than smart bidding!

We turn your website into e‑commerce from an Ad Platform perspective, allowing you to:

Unlock smart bidding

Help the Ad Platforms train 10-30x faster

Link Ad efficiency directly to your actual business results

Enable 10x faster and cheaper A/B tests

Save a lot of time and effort

Our platform is a game-changer

Showcases predictive targeting and optimization

Facebook Lead Ads: 3-5x better quality of leads

Google Display Network:37% reduction in CPO

Facebook Ads: 4x lower CAC and 2x ROAS

Facebook DPA: focus on top performing products

Google Search: 44% reduction in CPO

Display Ads: 32% reduction in CPO

Google Display Network:37% reduction in CPO

Google Search: long-tail keyword optimization

Facebook Dynamic Product Ads: 51% higher ROAS

Google Search:24-45% reduction in CPO for cash loans and credit cards issued by a consumer bank

Facebook Ads: 2.5x improvement in ROAS

Display Ads: 2x lower cost per transaction

Predictive
Marketing
Platform

We turn your website into e‑commerce
from an Ad Platform perspective, allowing you to: