adxcel.com
PaidAdaptive Marketing Automation for Attribution, Personalization & Optimization
About adxcel.com
ArtsAI is an adaptive marketing automation platform that uses patented AI technology to uncover hidden data patterns and optimize campaigns for increased ROAS. It offers cross-channel attribution, AI personalization, and optimization across CTV, video, audio, podcast, and display advertising. ArtsAI provides actionable insights to boost ROI, reduce customer acquisition costs, and personalize messages to match individual customer profiles.
How to Use
Marketers and agencies can use ArtsAI to generate content, set up campaigns, and leverage AI to optimize message features for better business results. The platform includes tools for creative authoring, AI personalization, cross-platform attribution, and advanced analytics.
Key Features
- Cross-channel attribution
- AI personalization
- Campaign optimization
- Predictive personalization
- Creative authoring tools
- Advanced analytics
Use Cases
- Attribution for website and in-app conversions
- Personalization of CTV, video, audio, display, native, and text messages
- Optimization of campaigns for reduced cost per user re-engagement and user acquisition cost
- Understanding the customer journey with cross-channel attribution
Key Features
Pros & Cons
- Patented AI technology that automatically uncovers hidden data patterns to optimize campaigns
- Guaranteed 30% ROAS increase in 60 days
- Proven success with significant cost reductions (e.g., 69% reduction in cost per user re-engagement)
- Omnichannel support including CTV, video, audio, podcast, and display
- Cookieless measurement solution for audio campaigns
- Real-time and daily reporting for transparency
- Easy-to-follow process for generating content and setting up campaigns
- Pricing requires contacting sales, no transparent pricing available
- May require significant setup and integration for full feature utilization
- Primarily focused on digital advertising, less suitable for offline or non-advertising use cases
Best For
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