Proxima ✓
Predictive data intelligence for consumer brands
Trial; then from $833/mo
Verdict
A quick read before you dig into the full page.
- Best if
- Predictive data intelligence for consumer brands
- Skip if
- Limited training resources
- Pick this when
- Custom audience creation
Considering Averi AI instead? Compare side by side
Overview
Proxima is a predictive data intelligence platform designed specifically for consumer brands. Its primary goal is to assist brands in predicting customer behavior to improve their marketing effectiveness, thus scaling profitability.
Proxima offers a feature called AI Audiences, which provides custom audiences for paid social media platforms. This feature maximizes ad performance through audiences that are built from extensive commerce insights.
This helps brands to generate high-intent audiences that fit their marketing strategies and deploy them onto their chosen advertising platform. With the insight provided by Proxima, brands have the ability to target potential consumers with a high average order value (AOV).
Proxima also provides an Intelligence Beta feature offering analytics and tactical benchmarks. This feature combines analytical insights with generative AI for better decision-making to drive business growth.
It allows companies to understand their most valuable consumer cohorts, product offers, and problematic areas. Proximas algorithms continuously learn to improve cost per acquisition (CPA) and return on ad spend (ROAS) results.
Proxima is appreciated by many successful brands for its unique data intelligence capabilities.
Access & connections
Where you can use Proxima.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- API
- Tabular
Output
- API
- Text
Pros & cons
Pros
- Custom audience creation
- Commerce insights generation
- High-intent audience generation
- Targets high AOV consumers
- Analytics feature provided
- Tactical benchmarks available
- Improves CPA and ROAS
- Algorithms continuously learn
Show 11 more
- First-party data pool
- Improves customer LTV
- Scale ad spend efficiently
- Maximize marketing performance
- 70M+ U.S. eCom shoppers data
- Network transaction volume of $17B+
- Combines enterprise-grade analytics
- Dynamic industry benchmarks
- Customer scoring feature
- Performant and scalable campaigns
- Secure and encrypted customer data
Cons
- Specific to consumer brands
- No multi-lingual support
- Requires high-quality data input
- Dependent on successful social campaigns
- No evident data visualization tools
- Lack of integration options
- Inadequate customer support information
- Limited training resources
Show 2 more
- No mobile application
- No freemium version available
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