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features
design
support

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Write a Review

Description

Access data from any location, even within a vast array of diverse environments. The most effective method to boost acquisition and retention is through the enrichment of data and models. By leveraging machine learning, new insights can be uncovered by integrating proprietary models, such as propensity models, with data in a secure manner, which enhances customer profiles and models while allowing for rapid scalability. Enriching data alone is insufficient; your team needs to transition smoothly from insights to actionable strategies. Automate the segmentation of audiences and deploy your campaigns instantly across various channels. Make informed targeting decisions to optimize budget utilization and reduce churn rates. Understand the optimal timing and locations for targeting efforts. Equip yourself with the necessary tools to act on data in real-time. Tracking the complete customer journey, along with the various data types involved, has always posed significant difficulties. With the increasing stringency of privacy regulations and the growing distribution of data, it is now more crucial than ever to ensure secure and straightforward access to those intent signals for effective decision-making, which will ultimately enhance overall operational efficiency.

Description

Reach your most valuable customers and potential clients efficiently with Mobilewalla's tailored audience segments. By leveraging thousands of consumer data points, we create campaign-specific, syndicated, or customized audiences, ensuring that the right message reaches the right consumer at the ideal moment. Our audience segments can be utilized across various digital and social media platforms, including Facebook, Twitter, and Instagram. The extensive data provided by Mobilewalla enables us to construct detailed profiles for each device ID. We employ predictive modeling techniques to analyze behavioral patterns and categorize devices into distinct segments. Insights from app usage reveal crucial consumer behavior narratives, while demographic data adds further context. To enhance reliability, Mobilewalla cross-verifies its age and gender segments with Nielsen DAR and US Census information. Moreover, GPS location data sourced from billions of daily signals ensures both scalability and precision in targeting strategies. This comprehensive approach allows businesses to connect more effectively with their audiences, ultimately driving better results.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Facebook Yes 
Amazon Web Services (AWS) Yes 
Databricks Yes 
Google Yes 
Instagram No 
Jupyter Notebook Yes 
LiveRamp Clean Room Yes 
Microsoft Azure Yes 
X (Twitter) No 

Integrations

Facebook Yes 
Amazon Web Services (AWS) No 
Databricks No 
Google No 
Instagram Yes 
Jupyter Notebook No 
LiveRamp Clean Room No 
Microsoft Azure No 
X (Twitter) Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Habu

Country

United States

Website

habu.com

Vendor Details

Company Name

Mobilewalla

Founded

2011

Country

United States

Website

www.mobilewalla.com/products/audience-segments

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

Audience Intelligence

AI / Machine Learning No 
Audience Segmentation No 
Competitive Intelligence No 
Content Tracking No 
Data Visualization No 
Data-Driven Insights No 
Filters / Search No 
Image Recognition No 
Sentiment Analysis No 
Social Listening No 
Social Media Analytics No 
Trend Tracking No 

Alternatives

Alternatives

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