ArtsAI

What is ArtsAI?

ArtsAI is an adaptive marketing platform designed for advertisers, agencies, and media publishers; it uses machine learning to select the most suitable combinations of advertising creatives for different audiences and scenarios.

The platform offers services such as ad placement, cross-channel attribution, dynamic creatives, audience optimization, and AI Boost; it was acquired in 2023 by the marketing data company Claritas.

Core functions

AI-driven personalized creativity

ArtsAI breaks down videos, audio files, presentations, native content, and text materials into combinable elements, and then automatically selects the appropriate combinations of these elements based on the characteristics of the audience and the desired business outcomes.

• Automatically combines titles, visuals, audio, and call-to-actions
• Make real-time selections from hundreds or thousands of creative combinations
• Match different advertising messages based on the audience profile.
• Continuously optimize the materials based on the conversion results.
• Supports CTV, video, audio, display, and native ads
• Manage material versions using creative production tools

Automatic audience clustering

The platform uses machine learning to analyze audience behavior and create groups, identifying those who are more likely to respond to different ideas and channels.

• Identify audiences with high response rates
• Identify underperforming targets and reduce investment in them.
• Find new, scalable audiences
• Analyzing the relationship between target audiences and creative combinations
• Provide predictive suggestions for subsequent deployments.

Cross-channel attribution

ArtsAI not only measures clicks but also analyzes the impact of ad exposure on conversions on websites and apps, covering digital audio, podcasts, radio, CTV, video, and display channels.

• Last-touch and Multi-touch attribution
• Website and app conversion tracking
• Measurement of streaming audio, podcasts, and radio broadcasts
• Attribution for CTV, video, and display ads
• Daily and real-time reports
• Incremental improvement and return on investment analysis

AI Boost

AI Boost seeks further ways to improve conversion rates by analyzing attribution data, including expanding the scope of coverage, reducing targets with poor performance, and predicting the potential benefits of personalized creative approaches.

Advertising placement and creation

• AI-driven advertising server
• Video and audio stream-based advertising
• Supports common VAST and VPAID standards.
• Dynamic creatives for Display, Audio, and Video
• Label automation and partner integration
• Real-time ROI calculation and advanced analysis

What use cases are suitable?

• Large advertisers conduct a unified assessment of multi-channel marketing.
• Podcast platforms measure the conversions generated by ads.
• Optimizing creative approaches and target audiences for streaming audio services
• CTV advertisers link exposure to sales results
• Agents manage a large number of dynamic creative combinations.
• Publishers increase advertising inventory and monetization efficiency
• The marketing team compares the performance of different visual elements.
• Brands conduct attribution analysis in a cookie-free environment.

Main advantages

• Creative personalization and attribution on the same platform
• Covers audio, podcasts, CTV, and display channels
• Measuring the impact of unclicked impressions on conversions
• Capable of handling large-scale combinations of creative elements
• Automatic clustering reduces the need for manual segmentation.
• Real-time reports facilitate the adjustment of ongoing activities.
• Integration of ad servers with creative production tools
• It is possible to deploy attribution first and then assess the benefits of personalization.

Usage restrictions and precautions

• The official website does not disclose the standard packages or fixed prices.
• Deployment usually requires demonstrations, contracts, and technical integration.
• Pixels and ad tags are used to process data on consumer behavior.
• Cross-channel attribution relies essentially on statistical models and assumptions.
• Correlation does not automatically prove that advertising is responsible for the conversions.
• Activities with low traffic volume may lack sufficient training samples.
• Creative personalization requires a large number of compliant material versions.
• Third-party platforms and identity maps increase the complexity of data governance.
• Past success stories do not guarantee that new customers will achieve the same results.
• The marketing team still needs to manually review brand and discrimination risks.

Pricing and procurement methods

ArtsAI currently adopts a business sales model; its official website does not disclose the standard pricing for packages based on monthly usage, number of seats, or level of exposure.

Before making a purchase, it is necessary to ask the supplier to list separately the costs related to the platform, media services, creative production, data integration, as well as implementation and support services.

Plan Evaluation Form

Tutorial on Attribution Access

1. Identify the business transformations and KPIs that need to be measured.
2. List CTV, audio, podcasts, videos, and display channels.
3. Confirm labels, pixels, and data fields with ArtsAI.
4. Deploy conversion tracking on websites or apps.
5. Add the ArtsAI tag to the corresponding ad campaign.
6. Verify exposure and conversion events in the testing environment.
7. Verify that the privacy consent and withdrawal mechanisms are functioning properly.
8. Run baseline activities and view daily and real-time reports.

AI Personalized Activity Tutorials

1. Define goals for conversion, revenue, or brand enhancement.
2. Break down the idea into a title, visuals, audio, and a call to action.
3. Prepare a brand-approved version for each element.
4. Set rules to prohibit certain combinations and sensitive audiences.
5. Select the audience and channel data that can be used for learning.
6. Initiate a small-scale test and retain a control group.
7. Observe the incremental effects of combinations, audiences, and channels.
8. Refresh the materials based on the report and expand the effective combinations.

Tutorial for verifying effects

1. Save the historical baseline metrics before going live.
2. Set up a random control group or a regional control group.
3. Fixed attribution window and conversion definition.
4. At the same time, observe the conversion rate, costs, and the increase in value.
5. Excluding changes in promotions, seasonality, and channel budgets.
6. Check whether high performance is concentrated among a small segment of the audience.
7. Verify whether the model results can be reproduced in a new cycle.
8. Decide whether to increase the budget based on the experimental results.

Privacy and data processing

ArtsAI collects interactive information through pixels embedded in websites, applications, advertisements, podcasts, and other online services; it also processes event and conversion data provided by corporate clients.

• Browser, device, and ad interaction information
• Ad exposure and conversion events
• Website and app access behavior
• Advertising campaign data provided by the client
• Analysis related to the Claritas identity graph
• Consumer region and privacy request information

Advertisers need to inform consumers about the purpose of the data collected, and offer options for accessing, deleting it, preventing its sale or sharing, as well as opting out of targeted advertising, in accordance with the regulations applicable in each region.

AI and human responsibilities

Acquisition and current entity

Claritas acquired ArtsAI in 2023, and the product inquiry section on its official website now points to Claritas as well.

The privacy policy still lists Adxcel Inc. under the name ArtsAI as one of the service providers; at the time of signing the contract, it is necessary to identify the specific parties involved in the transaction and their roles regarding data.

GitHub and open source

As of the time of verification, no official GitHub repository corresponding to the ArtsAI advertising platform was found; the accounts with similar names as well as the AI art projects that came up in the search results cannot serve as the source code for this product.

Its advertising servers, attribution models, and personalization technologies are part of proprietary commercial platforms, and should therefore be labeled as not being open source.

Basic information

Recommendation score

The comprehensive recommendation score is 4.3 out of 5 points. ArtsAI is suitable for large marketing teams that need to evaluate audio, podcasts, CTV content, and digital ads in a unified manner; however, the barriers related to deployment, data management, and verification of results are significantly higher than those associated with self-service marketing tools.

Frequently Asked Questions

Is ArtsAI an AI painting tool?

No, it is a platform for personalizing ads, delivering them, optimizing them, and attributing results.

Which advertising channels are supported?

It supports media types such as CTV, video, audio, podcasts, presentations, native content, and text.

What is AI personalization?

It automatically selects the most appropriate combination of messages, visuals, audio, and call-to-actions based on audience and performance data.

Is it possible to measure ads that have not been clicked?

Yes, the platform will analyze the relationship between exposure and subsequent conversions.

What is AI Boost?

It seeks opportunities to expand its audience, reduce targets with poor performance, and apply creative personalization by analyzing attribution data.

How much is ArtsAI?

The official website does not specify a fixed price; it is necessary to contact Claritas or schedule a demonstration in order to obtain a quote.

Is it necessary to deploy pixels?

Typically, it is necessary to link exposure data with conversion data through pixels, ad tags, or other technical integration methods.

Which company does ArtsAI belong to?

ArtsAI was acquired by Claritas in 2023.

Is ArtsAI open source?

It is not open source; no official public code repository corresponding to the current advertising platform was found.