AdTech Analytics Solutions and Use Cases
The Age of Data-Driven Decision Making
Digital Ad Spend is on the Rise
Digital ad spending is expected to reach over $200 billion by 2023 and for good reason. Unlike every other form of advertising, only digital allows ad platforms to tailor their messaging to specific audiences and individuals.
All of those clicks, page views, video views and interactions generate a mountain of data that requires sophisticated advertising analytics software to make sense of it all.
The Rise of Video
Qrvey also leverages the latest in machine learning technologies to catalog and analyze audio, video, files, documents and more.
Influencers Matter
Qrvey uses ML to augment data, spot trends, determine sentiment and gain insights faster and better than other solutions.
Mobile and Geolocation
As a cloud-native platform, Qrvey has the scalability and performance to meet the most demanding use cases of an adtech analytical tool.
Privacy is Paramount
Qrvey automatically inherits all of your privacy, security and compliance rules, providing peace of mind.
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Analytics Solutions for Advertising
The Age of Data-Driven Decision Making
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Analytics Solutions for Advertising
Qrvey is the most complete embedded analytics solution that simplifies analytics on AWS to give the advertisers everything they need to meet their industry’s biggest challenges.
Digital advertising is a cutting edge industry that needs new ways of thinking and modern analytics solutions. Only Qrvey has the modern cloud architecture to deliver the scalability, flexibility, features and performance to meet the needs of today’s advertising analytics and marketing analytics software.
INCREASE TIME TO MARKET
AdTech Analytics
From Start to Finish
SaaS applications serving the advertising analytics software industry know how important it is to manage data. Qrvey is the most comprehensive embedded analytics solution for the marketing analytics software industry.
Charts, Reports & Dashboards
Offer your customers all of the customizable charts, reports and dashboards they’ve come to expect from a marketing analytics platform.
Native Data Management
Augment and enhance the data you’re already collecting with forms, surveys and quizzes that provide real-time feedback and decision making.
Data Automation
Qrvey offers no-code automation tools that puts advanced logic including alerting, data write-backs and webhooks into the hands of your users.
Customizable AdTech Analytics Solution for SaaS Applications
Key Capabilities of Qrvey for AdTech Analytics
Real-Time Data Processing
Spot trends in real-time, support rapid decision-making and improve patient outcomes with real-time data analysis.
Enterprise Scale
Efficiently scale to billions of records and increase concurrent user access while lowering infrastructure costs.
Integrated AI
Integrated AI for predictive analytics, improving diagnostic accuracy, and personalizing patient care.
Multi-Tenant Data Lake
Scale analytics offering by combining data sources into a scalable central analytics layer for multi-tenant apps.
Data Governance
Manage data security by ensuring data quality, regulatory compliance, and effective data stewardship.
Integration Ready
Unified data pipeline supporting integrations from enterprise systems, applications, and all data sources.
Self-Service Analytics
Empower users to build their own custom dashboards using Qrvey’s multi-tenant security layer and embedded builders.
Embedded Data Visualization
Advanced data visualization tools for intuitive insights through interactive charts and real-time dashboards for healthcare.
Support
Your success is our success. Our award willing support team is with your every step of the way.
Analytics for Those Who Want More
Build Less Software. Deliver More Value.
FAQ's
Advertising and marketing analytics refers to the analysis and measurement of advertising and marketing performance data to guide business decisions. It involves using data analytics techniques to quantify, analyze and optimize marketing initiatives like ad campaigns, email marketing, social media, SEO, and website activities. The goal is to attribute sales revenue and conversions to marketing channels to understand their return on investment (ROI).
Some typical users include:
- Marketing managers – To measure campaign effectiveness and optimize marketing spends across channels.
- Digital marketers – To track web traffic, social media engagement, email performance and optimize campaigns.
- Media buyers – To determine the ideal mix of advertising platforms and purchases based on insights.
- Web analysts – To analyze site traffic, user engagement, funnel conversion and optimize web pages.
- Sales managers – To quantify the impact of marketing on sales pipeline and revenue.
- Executive management – To make data-driven decisions on marketing strategies and budgets.
Some common use cases are:
- Marketing attribution – Identify the most effective channels, ad placements, creatives, keywords etc. that influence conversions.
- Campaign analysis – Measure reach, clicks, conversions, costs, and other KPIs to optimize campaign spending and performance.
- Audience segmentation – Create customer personas and target specific segments based on their interests, behaviors and demographics.
- Media mix modeling – Determine the optimal mix of media channels to allocate budget.
- Web analytics – Analyze visitor engagement metrics on website to improve conversions.
- Social media analytics – Track reach, engagement, sentiment etc. to guide social strategy.
- Predictive analytics – Forecast sales, website traffic, lead conversions etc. to set targets.
- Marketing ROI – Quantify revenue and profit generated from marketing to demonstrate value.