Predictive Lead Scoring
for Performance Marketers

At least 15% lower CAC on Meta & Google guaranteed. US Patent.
Battle tested by 20+ high-growth and Fortune 500 brands.

See how it works Book a demo

How it works

Tomi.ai helps high-ticket e-commerce and leadgen/long-cycle businesses

We analyze user behavior on your website and in your mobile app
We don’t settle for superficial Google/Adobe Analytics data
We match website visits with sales and other funnel steps from your CRM
Run ML models to identify behavioral patterns of high-value visitors
Predict a specific propensity to buy and 30-90 day LTV for all website visitors (even anonymous ones) and leads in near real-time
Feed those predictions back into ad platforms, your CRM and analytics tools
Watch CAC go down and revenue go up (mostly on autopilot)

Tomi.ai stands for
4 pillars of digital marketing

Create value-based audiences in the Tomi.ai dashboard and upload them to advertising platforms via Marketing API

Targeting is the quick win of predictive marketing.

When you switch from rule-based retargeting to value-based retargeting, you stop wasting money on visitors who will never buy and triple your ROAS

New audiences to target
Value-based seed audiences for look-alikes
Bid modifiers for Search Ads
x4 ROAS with value-based retargeting

Learn more

Predictive lead scoring is cool.

See the predictive power of your marketing data.

Score Leads

Accurate value-based scores for ad campaign optimization
and forward-looking attribution

First-Party Data

Behavioral Data

website, app

x10

more than in Google Analytics

CRM Data

funnel steps,
revenue, LTV

Predictive Insight

Tomi.ai real-time predictive engine calculates

probability to buy
expected LTV for every website visitor

Tomi.ai
predictive engine

Google Cloud Platform

Positive Reinforcement Loop

Predictive
Conversions
& Audiences

Predictive
Lead Scores

(B2B &B2C)

Predictive
Attribution

We are loved ??

Evan H.

Digital Marketing Director
Mid-Market(51-1000 emp.)

+84% sales and +35% ROAS after 8 weeks

Insurance

May 25, 2023

What do you like best?

The team at Tomi takes full ownership of their work. The onboarding was easy and described (one of the few times a project timeline was kept!). This team knows what they are doing and has been an excellent resource for us – both from a human resource perspective but also as a tool in our digital marketing program.

Check the original review

Clint D.

Enterprise (> 1000 emp.)

On-target predictive targeting for the insurance industry

Insurance

Apr 04, 2023

What do you like best?

While we are still early in our Pilot program with the folks from Tomi, their level of support is second to none. They are a cross-functional team of experts who not only swiftly responds to our requests, but also continuously offers targeting advice to better optimize our various social campaigns and PPC tactics.

Check the original review

Jim N. C.

Co-Founder,
Small-Business (50 or fewer emp.)

Great team and product

E-commerce

Mar 03, 2022

What do you like best?

The team has been great in helping us connect all the right data to the project. While we are in the early stages of the relationship, I am confident we will be able to see the impact of using Tomi.ai to improve the effectiveness of our ad spend.

Check the original review

Maksym K.

Chief Digital Marketing Officer
Mid-Market (51-1000 emp.)

Very accurate predictions of the LTV for a B2B SaaS product

B2B SaaS

Mar 02, 2022

What do you like best?

Tomi.ai predicts the incremental impact on revenue of website visits from all sources, including organic, each touchpoint is scored. The accuracy of predictions is very high, when the cohorts matured we saw that the predicted revenue landed within a 20% margin of error from the actual revenue.

Check the original review

Abdul Wajid S.

Head - Performance Marketing
Enterprise (> 1000 emp.)

Accurate predictive lead scoring from the team of MarTech champions

Education

Mar 01, 2022

What do you like best?

I like the prediction analysis which is very accurate (both the lead scores and the visitor scores), and the product team deeply understood our business and listened to our inputs to tweak the model. The Customer Success team is very knowledgeable and proactive. Their expertise is instrumental in running the A/B tests and beyond.

Check the original review

Maria A.

Marketing manager
Enterprise (> 1000 emp.)

Paid ads optimization tool to improve the metrics at every stage of the acquisition funnel

Banking

Feb 28, 2022

What do you like best?

How fast the pilot project was launched and how fast we saw the results

The vendor’s team are true experts in paid acquisition and they went that extra mile to help us achieve extraordinary results

Check the original review

Case studies

Real Estate

Display Ads

Problems:

Not enough valuable events and property sales to optimize for LTV

Results:

- 47%

CAC

+196%

Order CR

E-Commerce

Facebook Display Ads

Problems:

low conversion rate
not enough deep-funnel events for value-based optimization

Results:

+148%

ROAS

-33%

CAC

Consumer bank

Non-brand search

Problems:

high CAC
low quality of customers acquired online

Results:

-24%

CAC

cash loan

-45%

CAC

credit card

E-Commerce

Facebook Dynamic Product Ads

Problems:

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

Results:

+51%

ROAS

-27%

CAC

E-commerce

Google Search

Problems:

grow the channel with ROAS being on target

Results:

+67%

Revenue

+27%

Orders

Insurance

Google Display Network

Problems:

high CAC
low ROMI

Results:

-44%

CAC

+50%

ROAS

SME Banking

Display Ads

Problems:

display ads not performing as a direct-response channel
high CAC

Results:

-32%

CAC

open account

-29%

Cost per lead

E-commerce

Facebook Dynamic Product Ads

Problems:

limited targeting audiences
open new marketing channels

Results:

-27%

Cost per purchase

+51%

ROAS

B2B SaaS

Facebook Ads

Problems:

not enough deep-funnel events for value-based optimization
high CAC

Results:

-75%

CAC

+351%

Click-to-order

Real Estate

Facebook Lead Ads

Problems:

Low quality leads:

rare conversions into visits to office
low conversion into sales later in the CRM funnel

Results:

-70%

Cost per purchase

-80%

Cost per office visit

SME Banking

Non-brand search

Problems:

Expensive new customer acquisition due to:

high competition;
low quality of lead sources online.

Results:

-29%

CPL

-44%

CAC

open account

Insurance

Google Display Network

Problems:

high CAC
low return on marketing investment

Results:

-37%

CAC

open account

+31%

ROAS

First results in 2-3 months

Implementation is quick & simple

Pixel
installation

15 minutes

Data
collection

2-6 weeks

ML model
training

1-2 weeks

Depending on the sales cycle & how quickly
we can catch 100 positive 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

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Ready to get started?

Book a demo

Predictive Lead Scoring
for Performance Marketers

Tomi.ai stands for
4 pillars of digital marketing

Targeting is the quick win of predictive marketing.

Optimization,?designed to work with your long leads.

See the true incremental value of each touchpoint along the customer journey before the sale has happened.

Single source of truth on lead quality to settle the foe between sales and marketing.

Accurate value-based scores for ad campaign optimization
and forward-looking attribution

Case studies