The proliferation of today’s customer experience tools is
fragmenting insights across analytics platforms.
It’s no wonder enterprises still struggle to understand how digital journeys impact revenue.
This is why we created Auryc.
Auryc is a real-time journey intelligence platform that surfaces valuable insights with powerful visual context across all of your digital user journeys.
How Auryc works
Auryc auto-captures client-side events for customers and visitors – a high fidelity record of user engagement including 100% of clicks, views, scrolls, swipes, searches and feedback.
Our journey intelligence platform lets you develop a shared, holistic and journey-centric understanding of your users’ lifetime behavior – qualitatively and quantitatively.
By combining engagement data with conversion events, Auryc’s machine learning algos let you quickly understand why users convert – and why they don’t.
Confidently get to the bottom of hard questions
Why is our monthly revenue decreasing?
Why are visitors abandoning before purchasing?
Why did customers give us that NPS or CSAT score?
Which acquisition channels are most valuable and why?
Where are our funnels leaking and why?
Which CX features should we fix first and why?
Which behavioral cohorts and segments matter?
Which feature designs reduce journey frustration?
How do we reduce fraud and chargebacks?
Already Invested in CX tools?
We understand the importance of building trust and protecting your and your customer’s data.
Auryc is both GDPR and SOC 2 compliant in order to provide a platform that is both secure and trust worthy.
An internal cross-functional team wanted to determine why the booking revenue of AppleVacations, an all-inclusive vacation package e-tailer, was dropping and whether the reason was related to market, product or technology issues or a combination of them.
By empowering the team with marketing, system and customer journey intelligence, Auryc gave them very strong quantitative and qualitative evidence to prove that the revenue drop was a steady shift in consumer demand. Attention quickly re-focused towards marketing new vacation inventory to match the shifting demand. Revenue recovered to pre-decline levels and marketing spend was increased to make up the lost revenue from the decline.
A lower-than-expected number of visitors to SpoonfulOne were entering the purchase funnel for the newly featured annual subscription baby formula service that had been praised by influencers in popular parenting media.
Using Auryc’s powerful voice of customer feedback, survey tools and heat maps that their product manager implemented in just minutes, the SpoonfulOne team was able to precisely identify where their customers’ attention was focused and what was holding them back from purchasing. SpoonfulOne launched new site content to build customer trust and released a new product offering which increased first time purchases by over 500%.
As a travel company singularly focused on beach vacations with multiple industry awards, CheapCaribbean was winning 50% of disputed chargebacks using a popular server-side CX platform. After reviewing lost revenue cases, the team believed they could win significantly more chargebacks.
Using Auryc’s higher fidelity session replay and behavioral cohort analysis, the CheapCaribbean team successfully achieved an 80% win-rate of disputed charges, recovering over $1.5M of lost revenue in 10 months.
One of the brands of a multi-billion dollar luxury resort company Apple Leisure Group, suspected that their bookings were being adversely affected by confusing, broken or poorly performing CX features.
Leap.ai, an intelligent digital career matching service, planned a six month beta to provide enough testing to feel confident in launching publicly. Their service competes on product quality by deeply understanding applicants and connecting them with the best job opportunities via machine learning based on the team’s rich hiring experience from Google.
Using Auryc’s quantitative analytics and qualitative session replay and feedback surveys, Leap’s product team was able to test, learn and iterate hundreds of feature improvements, gaining enough insight to cut their beta time in half. Leap’s testing generated the CX confidence they needed to publicly launch in less than 2 months, 50% faster than originally planned.