End-to-end visibility into your digital business
Apigee Insights provides unmatched context and end-to-end visibility into your business with the ability to analyze 360 degrees of information from API programs, external online sources, and data from your internal systems.
Learn how to shape your developer adoption program by combining signals from inside and outside your developer program.
We analyze more than 50 signals that help break down developer adoption into multiple stages of engagement. Insights enables you to compare your developer adoption performance against industry averages and make smart decisions about how to boost adoption quickly..
Our developer adoption models collect information about what developers do outside of your program.
Then we combine the external signals with what your developers do internal to your API program.
The combination produces insights that shape your developer adoption program to boost app production and end user satisfaction.
What kind of SDKs perform best?
Analyze three specific signals, app traffic, SDK distribution success, and end user satisfaction, we can recommend your SDK strategy.
Should we invest in technology or partnerships?
Consider your developers, apps and APIs, determine your biggest problem areas and recommend solutions to help you invest wisely.
How do we help our developers make more money?
Review successful programs and consider external models for success and then deliver recommendations about how to boost developer revenue.
App User Engagement
Drive customer engagement and retention by understanding how your customers' interact with and rate your apps.
We use customer behavior and actions to understand your stage in the customer lifecycle and provide you with insights that help you address the specific needs of all users at that stage. These targeted insights will help you drive engagement and retention.
Undertand how and where end users learn about your apps.
Combine that with how and when they use your apps.
Discover how to attract more engaged end users to your apps offerings.
What kind of capabilities do engaged users prefer?
Correlate end user usage of your products and services with the value they drive to your enterprise and highlight the most valuable parts of your product.
How do I prevent abandonment?
Build usage patterns and identify end users that are likely to abandon and provide you with actionable preventitive steps to avoid abandonment.
How do I convert non users to active users?3
Understand how well or whether your product delivers on the requirements of your targeted non users.
Craft successful information delivery strategies and gain insight about the customers that most value your information.
Identify the data that matters - to your end users, partners and developers and to your business. Understand the subset of information, data and services that deliver the right value and drive your business. Understand the demand signals that API based data requests create, and craft successful information delivery strategies.
Information Analytics models collect the context around a request for data such as the requestor's location, role and intended use of the information to uncover interesting segments of your information consumer base.
We combine external signals with signals such as the quality, freshness of the data, and the inherent patterns in the requested data such as repeat vs. unique or manual vs. automatic.
This combination produces insights that identify your most valuable data assets, consumer segments that most value your information, as well as the impact of your data on your transactions.
Which services are of most value to my users?
Analyze specific signals: frequency of data request, the data requestor, time and location of data access, and the transactions enabled through the data, we can recommend in which data and services to invest.
Which services should I ensure highest support and bandwidth?
Consider your most used data and services. Determine those for which you should ensure high up-time, best possible bandwidth etc.
Are there patterns in my data requests that require a redesign of my information delivery infrastructure?
Analyze the patterns in data requests and consider whether API Delivery Network (API-DN), globally distributed cache and quotas, etc. will improve distribution, performance, and scalability.