Watch visitor behavior at different stages of your marketing funnel

Filter to visitors who’ve purchased something, signed up, or are passing through.

See what visitors read and do before converting or signing up.

Observe the entire visitor journey end to end when you need more context for a visitor’s behavior.

Watch visitor behavior at different stages of your marketing funnel

Filter to visitors who’ve purchased something, signed up, or are passing through.

See what visitors read and do before converting or signing up.

Observe the entire visitor journey end to end when you need more context for a visitor’s behavior.

Traditional Analytics

Today, analytic tools tend to be focused on quantitative measurements (conversion percentage, time spent) which are hard to affect or qualitative measures (chat logs, answers to open-ended questions) which are tough to reason about at scale.

While quantitative numbers are essential for prioritization, they are lagging indicators of progress and are difficult to interpret without seeing what caused them to change over time.

Qualitative data is great for seeing exactly what’s going on. Unfortunately, at scale getting through it is a herculean task. Today we typically look at but a few examples to catch bugs or obvious UX issues.

This means we leave an untapped treasure trove of insight that lies at the intersection of quantitative and qualitative data. The behavioral groups our visitors fall into, what copy they react to, what they focus on, how they fair with the user experience, and lastly what they truly value.

Asgard Analytics

With Asgard, we’re on a mission to bring you an overarching understanding of your visitors while preserving the qualitative ease of interpretation.

We know how frustrating it can be to realize the change you’ve made never had a chance after weeks toiling away.  Or the confusion of seeing a conversion rate plateau month after month without being able to explain why.

That’s why we focus on the most critical ways to slice your data. We’ve seen what works and doesn’t in our experience working with millions of customers at Microsoft, Amazon, and in our own apps and products with hundreds of thousands of visitors.

As a start, you can filter to the three essential visitor types: leads, users, and customers in our MVP. Observe what drives customers to re-purchase and re-new to understand what is valuable to them. Filter to your activation flow and see what causes friction when signing up. Read more below and make sure to sign up to receive updates if you are interested in what’s coming next.

Traditional Analytics

Today, analytic tools tend to be focused on quantitative measurements (conversion percentage, time spent) which are hard to affect or qualitative measures (chat logs, answers to open-ended questions) which are tough to reason about at scale.

While quantitative numbers are essential for prioritization, they are lagging indicators of progress and are difficult to interpret without seeing what caused them to change over time.

Qualitative data is great for seeing exactly what’s going on. Unfortunately, at scale getting through it is a herculean task. Today we typically look at but a few examples to catch bugs or obvious UX issues.

This means we leave an untapped treasure trove of insight that lies at the intersection of quantitative and qualitative data. The behavioral groups our visitors fall into, what copy they react to, what they focus on, how they fair with the user experience, and lastly what they truly value.

Asgard Analytics

With Asgard, we’re on a mission to bring you an overarching understanding of your visitors while preserving the qualitative ease of interpretation.

We know how frustrating it can be to realize the change you’ve made never had a chance after weeks toiling away.  Or the confusion of seeing a conversion rate plateau month after month without being able to explain why.

That’s why we focus on the most critical ways to slice your data. We’ve seen what works and doesn’t in our experience working with millions of customers at Microsoft, Amazon, and in our own apps and products with hundreds of thousands of visitors.

As a start, you can filter to the three essential visitor types: leads, users, and customers in our MVP. Observe what drives customers to re-purchase and re-new to understand what is valuable to them. Filter to your activation flow and see what causes friction when signing up. Read more below and make sure to sign up to receive updates if you are interested in what’s coming next.

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