SEO: Data-as-a-Service Companies

Data-As-A-Service Companies

Gravy DaaS provides organizations with high-quality and easy-to-use datasets of location-based information on a continuous basis.

Data-as-a-Service Companies allow customers to purchase network-based access from a vendor. Information stored on a DaaS system can be retrieved at any time and from any geographic location.

DaaS solutions provide organizations with:

  • High-quality and easy-to-use datasets of location-based information 
  • Information on individuals’ movement within commercial places and events of interest
  • Consumer behavioral insights

Related Link: What is Data-as-a-Service?

Table of Contents

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Benefits of DaaS Solutions


DaaS solutions offer many advantages to IT by simplifying operations and delivering apps securely to its workforce.

Insight into Customer Behavior

Gravy DaaS solutions supply organizations with filtered datasets revealing consumer movement, attendance data, and consumer behavior on a monthly, weekly, or daily basis. With this information, companies can identify patterns, understanding where consumers are spending their time, and what they are likely to do or to purchase once there.

Having real-world location data at your fingertips means your company will always have the timely information it needs to make more accurate assessments of your target audience and prospects, and their visitation patterns. Your organization can then use that data to fuel market research, support new product development initiatives, or craft laser-focused marketing strategies to best engage those populations.

Clean Deterministic Data

Gravy DaaS compiles datasets into a manageable format, allowing your organization to identify activity trends, customer journey details, and lucrative venue locations. As part of the simplification process, Gravy identifies and removes spoofed and suspicious data, saving your company time and money. 

Gravy’s verified location data is cleansed, merged, and enriched, so your organization can analyze it efficiently and implement it with confidence within a range of possible industry-specific applications.

Gravy provides movement and behavioral information for more than 250M U.S. mobile consumers, across hundreds of place and event categories and for more than 2,000 leading brands. In addition, over 18 months of historical data is available to bolster consumer predictions and insight.

How to Choose A Location-Based Audience: Introduction

Increased Flexibility and Scalability

Gravy DaaS solutions supply organizations with filtered datasets revealing consumer movement, attendance data, and consumer behavior on a monthly, weekly, or daily basis. With this information, companies can identify patterns, understanding where consumers are spending their time, and what they are likely to do or to purchase once there.

Having real-world location data at your fingertips means your company will always have the timely information it needs to make more accurate assessments of your target audience and prospects, and their visitation patterns. Your organization can then use that data to fuel market research, support new product development initiatives, or craft laser-focused marketing strategies to best engage those populations.

Related Link: Gravy DaaS Solutions Sheet

Gravy Analytics’ DaaS Solutions

Gravy Analytics’ DaaS solutions deliver organizations with high-quality and easy-to-use datasets of location-based information on a continuous basis. These datasets provide information about people’s movement; commercial places and events of interest; and consumer behavioral insights. This intelligence helps companies to understand human behavioral patterns, monitor changes in foot traffic, and enhance marketing efforts to identify new consumer market trends.

Real-World DaaS Examples

The right data set will depend on specific business objectives. Here’s what Gravy works with: 

Visitation Data — 1B+ monthly visits to venues and events across the US. Includes all visits during business operating hours

Attendance Data Verified attendances at venues and events across the US. Comprised of visits likely to include a commercial transaction

Persona Data — 500+ consumer behavioral classifications

Device User Agent — Device user agent associated with Mobile Advertiser ID. Includes device OS, make and model

IP Addresses —  IP address associated with the Mobile Advertiser ID

DaaS in the Future

Data-as-a-Service can provide a number of benefits to an organization that is implementing an analytics program, or that wants to maximize the value of an existing program. With proper planning and organization initiatives, DaaS can enable a company to receive usable data that has been cleansed and formatted, to optimize the use of analytical talent and achieve strategic goals. 



L'Oreal Case Study

CASE STUDY: L’OREAL

Learn how L’Oreal used location intelligence to target consumers and achieve 320% ROI.

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