Modern enterprise web analytics.
Dive deep into user actions across websites and mobile apps, and unearth untapped opportunities to captivate, win, and retain users. With Quantum Metric’s web analytics, not only will you empower your customers, but you’ll also significantly enhance your bottom line. Take control, understand, and optimize every digital interaction.
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Harness the power of real-time data and comprehensive analysis for smarter actions.
Quantify impact, align on priorities.
Don’t settle for just knowing when and why customers drop off. Quantify the business impact so your team can prioritize it against everything else in the backlog.
Diagnose deeper and optimize faster.
Pinpoint customer friction and get to the root cause, whether it’s a confusing UX design or a technical error, to find and apply a fix quickly.
Autocapture hundreds of data points out-of-the-box.
Capture customer and behavioral signals with a simple Javascript snippet or SDK placement without engineering having to tag at the code level.
“The out-of-the-box experience indicators Quantum Metric provides, alongside Google Analytics, allows our teams to prioritize what to fix first and improve the overall customer experience.”
Vipul Chhabra/Chief Data & Underwriting Officer, Domestic & General
How is Quantum Metric’s web analytics different from other solutions?
Web analytics is only one component of the broader Quantum Metric platform, which is focused on solving the critical business needs of complex digital organizations. Unlike other web analytics solutions, Quantum Metric focuses on monitoring, diagnosing and optimizing all digital experiences (across websites, native apps and other channels) and quantifying their impact on business KPIs. Quantum Metric’s web analytics enables the following capabilities:
- Ease of deployment via tagless capture
- Time to value with out of box B2C industry approach
- Real time monitoring and friction detection
- Ease of quantifying business impact
- Insights that serve business, product, and technical teams
- High fidelity session replays with minimal impact to site performance, even at 100% capture
What key metrics and KPIs can I improve with your web analytics?
Quantum Metric’s web analytics can help organizations directly measure and improve a wide variety of digital metrics and KPIs, including:
- Traffic: Assess the volume, sources, and behavior of sessions and users on digital platforms, such as websites, native apps, or kiosks.
- Examples include:
- Sessions
- Page views
- Exits
- Examples include:
- Conversion: Calculate the percentage of web sessions who take a desired action. Robust digital analytics can tie events in the conversion funnel to session replay, helping visualize and diagnose reasons for abandonment.
- Examples of conversion events include:
- Making a purchase
- Signing up for a new account
- Filling out a form
- Examples of conversion events include:
- Financial: Capture revenue or total income from digital sales
- Technical Performance: Monitor client-side and server-side performance and understand how much slow web pages and errors are costing your business.
- Examples include:
- API errors
- Median page load time
- API response time and size
- Long running spinners
- App not responding
- Examples include:
- Engagement: Capture how website visitors interact with individual pages, links and content on digital.
- Examples include:
- Behavioral metrics, such as clicks, taps, scrolls and bounce rates
- Frustration indicators, such as rage clicks, back buttons used and page reloads
- Examples include:
Optimizing web analytics can have an impact on broad organizational goals and KPIs beyond digital, including:
- Cost Savings: Measure the impact of web self-service initiatives on the bottom line by reducing unnecessary contact center volumes or other more expensive channels.
- KPI indicators of costs savings include:
- First Call Resolution (FCR)
- Average Handle Time
- Call Deflection Rate
- Customer Self-Service Rate
- Cost per Conversion
- First Call Resolution (FCR)
- KPI indicators of costs savings include:
- Retention: Track the ability to retain customers and grow loyalty on web.
- Examples include:
- Retention rates, calculating how many website visitors return to your web or app within a certain timeframe.
- Churn rates, or rate of subscription cancellations/downgrades by a paying user.
- Retention rates, calculating how many website visitors return to your web or app within a certain timeframe.
- Examples include:
- Customer Experience: Measure web experience impact on customer satisfaction.
- Examples include:
- Net Promoter Score (NPS)
- Customer Satisfaction Score (CSAT)
- Customer Effort Score (CES)
- Mean time to identify and resolve issues (MTTI and MTTR)
- Net Promoter Score (NPS)
- Examples include:
What kinds of questions can I answer using Quantum Metric web analytics data?
Our web analytics can help answer a wide range of questions related to customer behavior, preferences, and overall experience. Here are just a few examples:
- Are anomalies in web traffic or conversion impacting my business KPIs and what is the cost of this friction?
- What are the most common paths or journeys customers take on our website or app?
- Which marketing campaigns or channels are driving the highest engagement, conversion rates or bounce rates?
- Where specifically do customers encounter obstacles or drop off during their interactions, and what does that experience look like (scrolls, taps, clicks, etc)?
- What features or content are most popular among our customers?
- What is the average time spent on specific pages or sections of our digital platform?
- What are the click-through rates or conversion rates for key calls-to-action?
- What is the overall sentiment or satisfaction level of customers based on their feedback or reviews? How can we tie that to user behavior?
- How do different user segments or personas engage with our website platform?
- Are there specific user interface elements or design elements that need improvement?
- Which customer touchpoints or channels contribute the most to customer satisfaction and loyalty?
- What is the lifetime value of different customer segments?
- How can we improve customer loyalty and advocacy?
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