Measuring Advertising Return (iROAS) Through Incrementality Testing
Beyond tracking and analyzing your performance, EdgeAngel helps you make rational and confident decisions by estimating the true return of your campaigns and their incremental impact on your business.
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Leverage the Power of Incrementality Testing
Whether through Meta and Google Ads' Conversion Lift features or through geographic incrementality tests like TDR (temporal regression) or Causal Impact, incrementality tests allow you to measure the additional revenue generated by your advertising campaigns using advanced and proven statistical methods.
With EdgeAngel, benefit from expertise in designing and analyzing all types of incrementality tests, rigorously structured and tailored to your business and advertising ecosystem:
- Pre-test phase: definition of test parameters (test and control groups, hypotheses, objectives, precise group matching, etc.)
- Protocol design: rigorous selection of methodology (Conversion Lift, TBR + MM, Causal Impact), test period and budget.
- Results analysis and recommendations: detection of incremental impact and iROAS calculation to evaluate the true return on investment of your advertising.
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Our Incrementality Measurement Services
**Data Architecture **: Designing a test architecture tailored to your needs to capture key data. - ** Geographic Segmentation **: Identifying and defining control and treatment zones, adapted to the specifics of your target markets. - **Test Protocol **: Selecting the best methodology, whether TBR (Time-Based Regression) or Causal Impact, based on your objectives and advertising setup.
** Statistical Monitoring **: Applying robust statistical methods to estimate confidence intervals and ensure the significance of results. - ** iROAS Estimation **: Calculating the real impact of advertising to validate the incremental profitability of campaigns. - **In-Depth Analysis ** : Comparing obtained results with platform-attributed metrics for optimal adjustment of your key indicators.
** Test Scheduling ** : Establishing a timeline for incremental tests to adjust advertising investments and optimize ROAS. - ** Strategic Guidance ** : Providing recommendations based on test results for data-driven scaling decisions. - ** Bias Adjustment ** : Adjusting results to account for potential over- or under-attributions by platforms.
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Our experts notes
AdAttributionKit : l'innovation dans le suivi des campagnes publicitaires sur iOS 18
L'AdAttributionKit révolutionne le suivi des campagnes publicitaires sur iOS. Quelles nouveautés ? Quelles différences avec le SKAdNetwork et avec les autres méthodes d'attribution utilisées par Adjust et AppsFlyer ?
edgeangel.co
Link Tracking Protection d’Apple sur iOS 17 et Safari 17 : quels impacts sur le tracking ?
Comment la Link Tracking Protection d'Apple dans iOS 17 et Safari 17 impacte le suivi des liens et les stratégies marketing. Quels paramètres affectés, quelles adaptations des acteurs publicitaires, et quelles recommandations pour optimiser vos campagnes.
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Google Consent Mode v2 : quelles nouveautés et quelles actions à mener ?
Google Consent Mode v2 est disponible : quelles fonctionnalités (ad_user_data, ad_personalization, Basic et Advanced Consent Mode) pour Google Ads et Google Analytics.
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Dossier RGPD : quelle utilisation de Google Analytics suite aux annonces de la CNIL ?
Notre analyse approfondie de l'utilisation de Google Analytics dans le cadre du RGPD et des directives de la CNIL. Quelles sont les implications légales, les alternatives disponibles et les recommandations pour rester en conformité avec la réglementation européenne ?
edgeangel.co
Google Ads : nouveaux paramètres wbraid et gbraid pour le suivi des conversions
L'App Tracking Transparency (ATT) d'Apple introduit depuis iOS 14.5 change la manière de remonter des conversions Google Ads. De nouveaux paramètres wbraid et gbraid remplacent maintenant dans certains cas le gclid (Google Click ID).
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An incremental test measures the real impact of an advertising campaign by comparing a treatment group (where advertising is active) to a control group (where it is inactive). This allows for identifying the effect of campaigns on conversions and precisely evaluating their incremental return on advertising spend (iROAS).
In a legal and technological context where analytics measurement methods are increasingly being called into question, incremental testing becomes particularly relevant to help you make better decisions about your advertising investments.
Both Meta and Google Ads media platforms offer a Conversion Lift feature that facilitates the implementation of incremental tests. User-based or geographic tests can be conducted in both cases. On Meta, this feature requires a minimum spend and conversion volume to be unlocked. On Google, the feature is still in Beta and only available upon request through your Success Account Manager.
If you are unable to use these features or if they do not allow you to reach your objectives, geographic incremental testing can be performed "manually" through precise campaign management. We then use approaches tailored to your needs, such as the TDR model (temporal regression) and Causal Impact.
In both cases, implementing incremental tests is not just about pressing a button, launching and stopping a campaign. Incremental tests require a rigorous design phase to exploit their full potential.
When using Meta or Google Ads' Conversion Lift features, test and control groups are automatically selected. The first group receives the ads while the other is exposed to "ghost" ads, allowing measurement of additional conversions generated by your campaigns on the exposed group.
For geographic tests, we define test and control zones based on their comparability across criteria such as historical sales and investments, thus ensuring that the results reflect the true impact of advertising.
Incremental testing requires rigorous methodology and advanced statistical analysis. EdgeAngel supports you at every step of the process, ensuring reliable results and providing clear insights to optimize the profitability of your advertising investments.
iROAS (Incremental Return on Ad Spend) quantifies the additional return on investment of your advertising, providing a key indicator to evaluate the profitability of your investments, without bias.
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Notes d’experts
Google Consent Mode v2
Analyses CRO avec Piano Analytics et Clarity
Causal Impact: mesure de l'efficacité publicitaire
sGTM pour les applications
AdAttributionKit sur iOS 18
Restrictions sur les cookies tiers pour Chrome
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Google Analytics : modélisation des données et attribution
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