Information Density: LogRocket – Signal Evidence & AI Readability

[H2] Galileo AI
[H2] Meet Galileo, the AI that watches every session for you
Galileo surfaces the issues impacting your users, analyzes severity across real sessions, and delivers reproduction steps so your team can act immediately.Explore Galileo AI
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[H2] Rated #1 for session replay and analytics
See how our AI session replay and analytics surfaces impactful user issues, and why companies of all sizes consistently choose us over legacy options.Learn more
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[H2] Everything you need to understand and optimize user experiences, built for the AI age
[H3] Product Analytics
Build conversion funnels, path analysis, and timeseries to understand user behavior.Surface insights with Galileo AI.Drill down with session replays to understand individual behavior.Learn more
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[H3] Issues
AI proactively identifies technical and UX issues impacting your business.Focus on the areas of your app most relevant to you.Identify the exact changes you need to make to improve.Learn more
[H3] Session Replay
See exactly what users experienced on your app.Capture every event and activity automatically.View DOM playback, console and network logs, errors, and performance data.Learn more
[H3] UX Analytics
Visualize how users experience your app at the individual and aggregate levels.Combine qualitative and quantitative insights to make data-driven decisions.Discover what separates a good experience from a bad one.Learn more
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[H3] Error Tracking
See the most frequent errors, network failures, and crashes affecting your users.Cut through noisy issues with Galileo AI.Prioritize the problems that need immediate attention.Learn more
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[H3] Frontend Performance Monitoring
Correlate frontend performance with its impact on user experience.View performance telemetry for in-depth debugging.Create charts and dashboards to measure performance impact and changes over time.Learn more
[H4] 3,000+ customers use LogRocket to deliver better apps and experiences
Retail & eCommerceEngineeringSurface user struggleOptimize conversion & adoption
[H3] LogRocket helps 7-Eleven optimize conversion efficiency in self-checkout
Read full case studySoftwareProduct & UXOptimize conversion & adoptionSurface user struggle
[H3] LogRocket gives Appfire data they 'can't find anywhere else' with a single platform for identifying user friction
Read full case studyHealthcareEngineeringSurface user struggleOptimize conversion & adoption
[H3] Blue Cross Blue Shield of Massachusetts uses LogRocket to optimize their digital experiences.
Read full case studyView all customer stories
[H2] Get startedin minutes
Install LogRocket on your website or mobile app via NPM or script tag and start collecting data in just three steps. LogRocket works regardless of language or framework, and we provide SDKs for specific technologies.Start for free
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DocWant to learn more? Explore our documentationMobileWeb
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DocWant to learn more? Explore our documentation
[H2] Integrations
[H2] LogRocket works the way you work
Integrate LogRocket with your tech stack for an end-to-end view of user experience across your web and mobile apps.Customer SupportA/B & Feature FlagsObservabilityVoice of CustomerData WarehouseDiscover our integrationsCustomer SupportA/B & Feature FlagsObservabilityVoice of CustomerData Warehouse
[H4] Outlooks for every insight
Discover all insights
[IMG: Leader Spotlight: Optimizing conversions and loyalty in beauty brands, with Victoria Katsarou]
Product ManagementThu Mar 13 2025
[H3] Leader Spotlight: Optimizing conversions and loyalty in beauty brands, with Victoria Katsarou
[IMG: Optimizing Shopify Checkout with LogRocket session replay]
Product ManagementThu Mar 06 2025
[H3] Optimizing Shopify Checkout with LogRocket session replay
[IMG: Leader Spotlight: Bottling the benefits of failure, with Prabhath Nanisetty]
Product ManagementTue Oct 15 2024
[H3] Leader Spotlight: Bottling the benefits of failure, with Prabhath Nanisetty

[H2] Request a demo
LogRocket's AI session replay and analytics identifies exactly where your customers are struggling the most.Drive conversion and retention with IssuesUnderstand usage trends with Product AnalyticsSolve customer issues with Session ReplayRated #1 for Session Replay and Product Analytics
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[H3] Use the form to get in touch with the LogRocket team for a personalized demo.
Trusted by 3,000+ customers

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"Galileo Highlights expedites the time we need to understand an issue."46Hours saved per week15Minutes to diagnose issuesPreviousNextRead full case study
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"Getting to watch real behavior beats guessing every time. LogRocket shows you why."3xIncrease in trial activation1 weekFrom insight to actionPreviousNextRead full case study
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"By hand-delivering the highest-impact issues and their causes, LogRocket Galileo allows us to make the most of limited time and resources."ReducedResolution time from weeks to daysImprovedCommunication across teamsIncreasedFocus on high-priority issuesPreviousNextRead full case study
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"Our mission is to provide a great experience from the first time a customer touches Speedway to when they receive their parts."32%Increased conversionImprovedEngineering focusReducedAfter-hours disruptionsPreviousNextRead full case study
[H3] All Stories
SoftwareSupportSolve user-reported issues
[H3] ShipStation uses LogRocket to save 40+ hours/week
Read full case studySoftwareProduct & UXSolve user-reported issuesOptimize conversion & adoption
[H3] Goldcast uses LogRocket to triple PLG activation.
Read full case studyAutomotiveSoftwareProduct & UXSurface user struggleOptimize conversion & adoptionSolve user-reported issues
[H3] Cox Automotive uses LogRocket Galileo to uncover hidden areas of friction in their apps.
Read full case studyRetail & eCommerceProduct & UXSurface user struggleOptimize conversion & adoption
[H3] Speedway Motors increased conversion 32% with LogRocket.
Read full case studyHealthcareEngineeringSurface user struggleOptimize conversion & adoption
[H3] Blue Cross Blue Shield of Massachusetts uses LogRocket to optimize their digital experiences.
Read full case studyRetail & eCommerceEngineeringSurface user struggleOptimize conversion & adoptionSolve user-reported issues
[H3] LogRocket enables thredUP's company-wide initiative to raise the bar for customer experience.
Read full case studyRetail & eCommerceEngineeringSurface user struggleOptimize conversion & adoption
[H3] LogRocket helps 7-Eleven optimize conversion efficiency in self-checkout
Read full case studySoftwareProduct & UXOptimize conversion & adoptionSurface user struggle
[H3] LogRocket gives Appfire data they 'can't find anywhere else' with a single platform for identifying user friction
Read full case studyRetail & eCommerceEngineeringSolve user-reported issuesOptimize conversion & adoption
[H3] Dutchie uses LogRocket across their support, engineering and product teams, reducing both costs and errors along the way.
Read full case studyRetail & eCommerceEngineeringSurface user struggleSolve user-reported issues
[H3] Rappi has made LogRocket their single source of truth for identifying and resolving performance issues that affect user experience.
Read full case studySoftwareMarketingOptimize conversion & adoption
[H3] Prefect uses LogRocket to boost their understanding of customer pain points and double their user activation score.
Read full case studySoftwareEngineeringSurface user struggleSolve user-reported issues
[H3] Tipalti turned to LogRocket to eliminate the back and forth between support and engineering teams.
Read full case studyRetail & eCommerceEngineeringSurface user struggleOptimize conversion & adoption
[H3] LogRocket helps Tecovas adopt a product-focused mindset centered on providing the highest-quality user experience.
Read full case studyRetail & eCommerceSupportSolve user-reported issuesOptimize conversion & adoption
[H3] Dutchie homes in on high-value user sessions with LogRocket Conditional Recording
Read full case studySoftwareProduct & UXOptimize conversion & adoptionSolve user-reported issues
[H3] LogRocket provides Siigo with visibility into the friction points in their customers' buying journey, providing them with the tools they need to shift to a fully digital sales experience.
Read full case studySoftwareEngineeringSurface user struggleOptimize conversion & adoptionSolve user-reported issues
[H3] LogRocket helps Genially improve customer experience by providing complete context into user behavior during onboarding.
Read full case studySoftwareEngineeringSurface user struggleSolve user-reported issues
[H3] Htech implemented LogRocket to deliver a clear picture of the actions user took, why they took them, and what errors prevented them from achieving their goals.
Read full case studySoftwareHealthcareProduct & UXSolve user-reported issuesOptimize conversion & adoption
[H3] Myndshft uses LogRocket to equip its teams with the tools they need to ensure successful onboarding and improve retention.
Read full case studyReal EstateEngineeringSolve user-reported issuesSurface user struggle
[H3] Cushman & Wakefield uses LogRocket to transform the company into a digital-first business.
Read full case studySoftwareFinancial ServicesEngineeringOptimize conversion & adoptionSurface user struggle
[H3] LogRocket gives Dojo a real-time picture of customer experience that helps resolve customer service issues and provides complete visibility into user behavior.
Read full case studySoftwareProduct & UXOptimize conversion & adoptionSurface user struggle
[H3] LogRocket helps ProfitWell master issues and feature prioritization with data-driven insights.
Read full case studyFinancial ServicesProduct & UXOptimize conversion & adoption
[H3] Tower Loan uses LogRocket to streamline the loan application process and weed out attempted fraud.
Read full case study

[H3] 0.5%
Issue rate after LogRocket
[H3] <1 hour
Issue resolution time
[H3] 1,000s
Of stores running LogRocket on self-checkout
[H2]
Executive Summary
7-Eleven is the world’s largest convenience retailer, laser-focused on innovating to provide customers on the go with frictionless digital experiences.
In 2024, their aim was to ensure that no more than 1% of self-checkout experiences encountered an issue at any time, while scaling the program to thousands of stores, including the Speedway brand, which 7-Eleven acquired in 2021.
Matt Magee, Senior Software Engineering Manager in the R&D department, was charged with scaling 7-Eleven’s new self-checkout program, which they expected to improve and speed up the in-store experience.
He needed to find a noninvasive way to track issue rates and understand how to deliver a consistently good experience as the program scaled.
LogRocket provided 7-Eleven with powerful analytics insights, flexible user session replay, and a universal source of truth of how customers moved through self-checkout.

[H2]
Intro
7-Eleven launched their self-checkout program to improve customer wait times at point of sale, reduce labor costs, and make employees more available to help customers and manage inventory.
While all the self-checkout kiosks are Android devices running the same React Native app, 7-Eleven was migrating to a new back-office system that needed to be compatible with older versions.
This made it difficult to scale new initiatives. Matt needed to find a digital experience analytics solution flexible enough to accommodate their back-office, but still able to track their success against a new goal of reducing overall technical issues and expanding self-checkout offerings to thousands of stores.
LogRocket offered high-fidelity session replays of customer behavior, detailed conversion analysis, technical information Matt could easily share with his product, engineering, and UX teams, and easy integration into their existing systems.
With LogRocket, Matt gained insights into user interactions within 7-Eleven’s new point of sale (POS) systems, cut average issue rates to 0.5%, and reduced time to resolution of issues from days to hours.

[H2]
Native mobile analytics at scale
7-Eleven’s self-checkout kiosks consist of Android devices running React Native apps, which then integrate with each store’s unique back-office system.
“We’re in a couple thousand stores, and there are a lot of different configurations across them,” Matt explained.
“[Without LogRocket,] we had a lot of difficulty hunting down these very specific store bugs.”
Before LogRocket, Matt and his team worked with various logging and debugging tools to gain insights, none of which offered session replay.
Matt started testing LogRocket during a QA trial of self-checkout kiosks at 7-Eleven’s cashierless store at their support center in Irving, Texas.
Matt noticed that internal testers were being charged twice for items in their carts. He quickly hit a wall looking into the issue with his legacy tool, but quickly found the root cause when he investigated with LogRocket.
LogRocket showed me its value immediately — I had spent two days trying to hunt down this bug with other tools, and within an hour LogRocket had found the exact source of the issue.
LogRocket provided Matt and his team with everything they needed: a dedicated replay of the user’s session, plus network and other technical information necessary for debugging.
“I found through session replay that users were opening and closing a modal to make adjustments to their carts, and each time they reopened the modal there was a memory leak happening that caused duplicate charges,” Matt explained.
Matt also set up conversion analytics for reporting on the program’s success that could grow as they scaled.
He later enabled several integrations to bring data from other systems into LogRocket to smooth issue triage and connect frontend issues with backend causes.

[H2]
Reducing complexity to improve customer efficiency
7-Eleven started the self-checkout program to reduce average issue rates to under 1%, which they achieved in part due to capabilities unique to LogRocket.
7-Eleven’s self-checkout kiosks are always on the start screen, ready to use.
For most digital experience solutions, this meant that all user sessions would be combined into one session, presenting two challenges:
Locating individual sessions when issues occurGathering metrics about individual user sessions, which meant that 7-Eleven would be unable to gauge progress toward reaching their goal of reducing average checkout time to under a minuteThat was not an issue in LogRocket, though.
Matt could define precise session recording criteria within LogRocket’s UI to ensure that 7-Eleven captured each user session separately.
The risk with not having LogRocket that we found is when we really need to dig into specific transactions for a specific store.
This helped 7-Eleven identify and separate specific user sessions, important for both debugging and understanding user behavior trends, allowing them to reach their goal of getting an average issue rate under 1%.
With this success, Matt expanded LogRocket access to 50 teammates.
We include LogRocket as part of our toolkit, so when engineers are creating new features…they can pull up sessions to see how it’s performing every day.
Overall, Matt attributes their ability to achieve the goal of reduced checkout time to workflow improvements and UI insights driven by LogRocket’s conversion analytics, journey tracking, and session replay.

[H2]
Efficiently creating frictionless digital experiences for customers on the go
As 7-Eleven continues to scale their self-checkout program, Matt hopes to adopt more of LogRocket’s proactive features to anticipate user issues before they even happen in-store.
With thousands more stores on the horizon, around 20 additional team members will join Matt’s LogRocket project in 2025 to focus on improving customers’ digital experience.
He’s also started using Galileo AI to help surface the issues that have the highest impact on user experience before they arise in the field.
“LogRocket helps us find that needle in the digital haystack,” Matt said, which is invaluable to his team as they begin their post-launch optimization work.
[H3] Related case studies
SoftwareSupportSolve user-reported issues
[H3] ShipStation uses LogRocket to save 40+ hours/week
Read full case studySoftwareProduct & UXSolve user-reported issuesOptimize conversion & adoption
[H3] Goldcast uses LogRocket to triple PLG activation.
Read full case studyAutomotiveSoftwareProduct & UXSurface user struggleOptimize conversion & adoptionSolve user-reported issues
[H3] Cox Automotive uses LogRocket Galileo to uncover hidden areas of friction in their apps.
Read full case study