Insights
Learn about integrated analytics, journey analytics, analytics data protection, personalization measurement and much more.
Composable analytics — what and why
Most websites don’t fail because of bad content — they fail because no one has an objective view of what the site actually communicates.
Clicks and conversions tell us what users do.
They don’t tell us what messages, intents, and emotions dominate the experience.
We built ContentSignals to help marketing leaders understand:
• What their website truly communicates
• Who it actually serves
• Where intent, perception, and strategy diverge
If your website plays a critical role in trust, growth, or conversion, this diagnostic perspective may be useful.
Measure Intent Using Weighted Content Signals
Modern website analytics should be based on more than just page identifiers — analytics should be based on atomic content. Why? Marketers need to make better decisions about content strategy, execution and conversion optimization.
We’ve created an easy way to synthesize weighted content signals for any website. The results are available in an auto-generated BI report. Let us know if you’d like a BI report for your website. There are no technical prerequisites.
Signals are categorized by user intent, audience, engagement actions, comprehension prerequisites, sentiment, emotion and more.
This article explains how a standalone content signals BI report is used for content strategy and optimization.
Composable analytics — what and why
Broadly speaking, a composable architecture is based on designing and building applications by assembling independent, self-contained, and interchangeable components. Each component serves a specific purpose. Each component has defined boundaries and provides specific benefits.
Zooming in, what is composable analytics within marketing, sales and commerce use cases?.
Solving Real-World Challenges in AI-Powered Analytics
Desupervised and RelevantEdge team up to provide automated, AI-powered predictive analytics solutions
RelevantEdge develops and markets the award winning RelevantEdge ETL platform that is is used by enterprises globally.
Desupervised is an AI and software specialist organization that has deployed a wide range of AI models in several verticals and industries. Desupervised products include Alviss — a self-service AI-powered business intelligence platform.
Personalization Journey Analytics – the Missing Link?
Digital personalization needs better analytics.
One dimensional, traditional analytics simply aren’t designed to provide insights for personalized digital experiences. Marketers looking to validate their business cases may lack the right quantified metrics to demonstrate the business value of personalization. As a result, some personalization initiatives may never get off the ground.
Personalization journey analytics is the answer.
10 Great Things You Can Do with BI and Sitecore
If you really want to know your customers, you need to know their data.
But the richest customer-centric data – experience data that reveals customer intent as well as the explicit actions individual customers have taken – is often siloed.
Why Collaborative BI is Best for Digital Experience Insights
Despite the pandemic, organizations continue to drive digital-transformation initiatives.
With this, many organizations, albeit at their own tempos, are increasingly becoming more data driven. Consequentially, these organizations reap the benefits of digitalization.
Use Website Personalization to Lift B2B Conversions
Have you ever heard someone who works in sales at a B2B organization say something like: “We do the real selling person to person. The website should just provide product, services and contact information”?
Step Up Your Personalization Game Using Custom Data
When designing and implementing data-driven customer journeys, it’s common for digital marketers to track the most important moments of action. That is, when a digital visitor makes a key decision and performs that crucial action, a specific marketing event is triggered. The trigger can subsequently be used for personalization.
Rethinking How to Measure Data-driven Personalization
Management thinker Peter Drucker profoundly proclaimed: if you can’t measure it, you can’t improve it.
When it comes to data-driven personalization, defining how you’ll measure personalization effectiveness is actually a great place to start. Define a measurement approach from the get-go and you’ll be on the path to improvement.
(Thoughts from a morning walk with Bobby the dog)