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What is TrackAd?

Deciding how to split a digital acquisition budget across paid channels is one of the toughest calls marketing teams face. TrackAd was built to remove the guesswork from that decision. The platform takes a hybrid measurement approach that adjusts to your market conditions, the data you have available, and the most recent modeling standards. Three methodologies work together: granular touchpoint analysis reveals how users actually move toward purchase; Marketing Mix Modeling processes 24 months of history to pinpoint the moment each channel's returns begin to flatten; and lift measurement quantifies what upper-funnel awareness campaigns genuinely add to bottom-line revenue. Sitting on top of this measurement layer, NOA — TrackAd's prescriptive intelligence — turns what would normally require a full day of expert analysis into instant, ready-to-apply budget recommendations. The typical outcome for clients: roughly one-fifth of ad spend redirected toward channels that produce incremental sales. More than 150 advertisers across Europe, from large retailers to pure-play e-commerce companies, rely on TrackAd to steer their acquisition investments.

What is Causality Engine?

Numerous attribution tools can show which advertisements a customer engaged with before completing a purchase, highlighting correlation. However, Causality Engine goes a step further by revealing how much your revenue would have been affected if those advertisements had not been executed, thereby proving causation. By employing causal inference—akin to the statistical methods used in clinical drug studies—we evaluate the actual additional revenue produced by each marketing channel. This methodology guarantees that the outcomes are purely the result of marketing initiatives without any external influences or alterations. The calculations can be easily understood: for example, if Meta indicates a 4.2x ROAS, yet your total revenue remains the same after a 30% reduction in spending, it suggests those conversions would have occurred anyway. Causality Engine accurately quantifies this phenomenon. By integrating your GA4 and Shopify data, you can obtain your preliminary causal analysis in under five minutes. There’s no requirement for tracking pixels, cookies, or complex integrations—just upload your data to identify which channels are genuinely facilitating growth versus those that only take credit for existing gains. The service provides a one-time analysis for $99, and ongoing insights are offered for $299 each month, enabling businesses to continuously monitor their marketing performance and revenue contributions. This approach fosters a deeper understanding of marketing effectiveness over time, allowing for more informed decision-making.

Media

Media

No images available

Integrations Supported

Google Analytics
Adobe Analytics
Awin
Connexity
Criteo
Daisycon
Eulerian
Google Ad Manager
Google Data Studio
Google Sheets
Instagram
Kelkoo Group
MixCommander
RTB House
Salesforce
Slack
Snapchat
Telegram
YouTube

Integrations Supported

Google Analytics
Meta Ads

API Availability

Has API

API Availability

Pricing Information

1500€/month
Basic

Pricing Information

$99/month

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TrackAd

Date Founded

2015

Company Location

France

Company Website

www.trackad.ai/

Company Facts

Organization Name

Causality Engine

Date Founded

2023

Company Location

Netherlands

Company Website

causalityengine.ai

Categories and Features

Campaign Management

Channel Management
Lead Management
Multi-Campaign

Marketing Analytics

Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
ROI Tracking
Social Media Metrics

Marketing Attribution

Attribution Modeling
Audience Segmentation
Cross-Channel Attribution
Customer Journey Mapping
Multi-Touch Attribution
ROI Tracking

Categories and Features

Marketing Attribution

Not specified

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