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Healthcare MedicineTop 10 Best Blood Glucose Meter Software of 2026
Compare the top 10 Blood Glucose Meter Software picks, including mySugr, Dexcom CLARITY, and Omnipod DISPLAY. Explore rankings now.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
mySugr
Game-like guided logging for rapid glucose entry with contextual tracking
Built for people managing diabetes who want easy daily glucose tracking and trend insights.
Dexcom CLARITY
CLARITY pattern and report dashboards for glucose trends, averages, and time-in-range analysis
Built for clinicians and caregivers needing CGM-based reporting and longitudinal review.
Omnipod DISPLAY
Integrated glucose views that align with Omnipod insulin delivery status
Built for omnipod users needing integrated glucose display for insulin decision workflows.
Related reading
Comparison Table
This comparison table evaluates blood glucose meter and CGM companion software, including mySugr, Dexcom CLARITY, Omnipod DISPLAY, Diasend, myDiabby, and other common apps. Each row summarizes how key tools handle data import, pairing and device compatibility, analytics and reporting, and sharing options so readers can match software features to specific glucose tracking workflows.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | mySugr Provides a diabetes tracking mobile app that records blood glucose readings and exports reports for clinical review. | mobile tracking | 8.2/10 | 8.4/10 | 8.8/10 | 7.2/10 |
| 2 | Dexcom CLARITY Shows continuous glucose monitoring data in a cloud platform with sharing, reports, and export workflows for care teams. | CGM insights | 8.0/10 | 8.5/10 | 7.8/10 | 7.6/10 |
| 3 | Omnipod DISPLAY Supports insulin delivery and glucose data visualization with caregiver reporting features for people using Omnipod systems. | device ecosystem | 7.3/10 | 7.6/10 | 7.4/10 | 6.8/10 |
| 4 | Diasend Aggregates glucose meter and CGM readings into clinician-friendly reports and sharing utilities. | clinical reports | 7.5/10 | 8.0/10 | 7.2/10 | 7.0/10 |
| 5 | myDiabby Tracks blood glucose, boluses, and related diabetes metrics and generates shareable summaries for users and providers. | mobile tracking | 7.3/10 | 7.0/10 | 8.2/10 | 6.8/10 |
| 6 | Glooko Collects glucose meter and CGM data and provides analytics, patient engagement, and provider reporting dashboards. | data aggregation | 8.2/10 | 8.6/10 | 7.8/10 | 8.0/10 |
| 7 | Diarium Tracks blood glucose readings and diabetes events in a structured log with visual trends and export options. | daily log | 7.4/10 | 7.3/10 | 8.2/10 | 6.6/10 |
| 8 | CareClinic Tracks health vitals and glucose readings in a calendar format with reminders and shareable reports. | habit tracking | 7.5/10 | 7.6/10 | 8.0/10 | 6.9/10 |
| 9 | Blood Glucose Tracker by Diabetes:M Records blood glucose values and medication details with charts and summaries intended for diabetes self-management. | mobile tracking | 7.3/10 | 7.0/10 | 8.0/10 | 6.9/10 |
| 10 | Health2Sync Enables diabetes data entry and sharing for care coordination using a web portal and patient-facing tools. | care coordination | 7.0/10 | 7.2/10 | 7.1/10 | 6.8/10 |
Provides a diabetes tracking mobile app that records blood glucose readings and exports reports for clinical review.
Shows continuous glucose monitoring data in a cloud platform with sharing, reports, and export workflows for care teams.
Supports insulin delivery and glucose data visualization with caregiver reporting features for people using Omnipod systems.
Aggregates glucose meter and CGM readings into clinician-friendly reports and sharing utilities.
Tracks blood glucose, boluses, and related diabetes metrics and generates shareable summaries for users and providers.
Collects glucose meter and CGM data and provides analytics, patient engagement, and provider reporting dashboards.
Tracks blood glucose readings and diabetes events in a structured log with visual trends and export options.
Tracks health vitals and glucose readings in a calendar format with reminders and shareable reports.
Records blood glucose values and medication details with charts and summaries intended for diabetes self-management.
Enables diabetes data entry and sharing for care coordination using a web portal and patient-facing tools.
mySugr
mobile trackingProvides a diabetes tracking mobile app that records blood glucose readings and exports reports for clinical review.
Game-like guided logging for rapid glucose entry with contextual tracking
mySugr stands out with a highly guided, game-like daily logging flow for blood glucose readings. The app captures glucose, carbs, and related context, then generates trends and insights to support adjustment discussions with clinicians. It emphasizes quick entry and habit building with charts, reports, and reminders tied to logging behavior. It is strongest for self-management workflows rather than for complex device integration at scale.
Pros
- Fast, guided logging reduces friction for frequent glucose tracking
- Strong trend views for readings, carbs, and contextual patterns
- Reminders and structured routines help maintain consistent data capture
Cons
- Limited depth for advanced clinical workflows and custom analytics
- Device and data import options can be less flexible than broader lab systems
- Insights rely heavily on manual context quality like meal entries
Best For
People managing diabetes who want easy daily glucose tracking and trend insights
More related reading
Dexcom CLARITY
CGM insightsShows continuous glucose monitoring data in a cloud platform with sharing, reports, and export workflows for care teams.
CLARITY pattern and report dashboards for glucose trends, averages, and time-in-range analysis
Dexcom CLARITY stands out for converting continuous glucose monitor streams into actionable reports, not for acting as a standalone glucose meter interface. It centralizes glucose history, graphs, and metrics that support clinical review and care planning. The core workflow centers on trend visualization, pattern detection, and sharing capabilities for clinicians and caregivers. Stronger use cases involve retrospective analysis and communication around glucose data rather than rapid on-device decision support.
Pros
- Detailed glucose history with clear trend charts for clinical-style review
- Reports and metrics support retrospective pattern analysis and care adjustments
- Sharing and invitation workflows support caregiver and clinician visibility
- Longitudinal tracking highlights changes over time instead of single readings
Cons
- Built around Dexcom data streams, limiting use for non-Dexcom meters
- Report navigation can feel dense for first-time users reviewing trends
- Real-time decision support is not the primary strength versus analysis
- Some insights require setup and data connectivity to populate fully
Best For
Clinicians and caregivers needing CGM-based reporting and longitudinal review
Omnipod DISPLAY
device ecosystemSupports insulin delivery and glucose data visualization with caregiver reporting features for people using Omnipod systems.
Integrated glucose views that align with Omnipod insulin delivery status
Omnipod DISPLAY centers blood glucose tracking around the Omnipod insulin delivery ecosystem, tying readings to on-body diabetes management. It provides glucose views, trend context, and support for decision-making workflows that align with Omnipod automated insulin delivery use. The software experience focuses on interpreting device-driven data rather than running standalone glucose analysis. Display is best understood as companion software for Omnipod users managing insulin dosing alongside glucose monitoring.
Pros
- Integrates glucose display with Omnipod insulin delivery context
- Clear trend-focused views for near-term decision support
- Consistent on-device to app workflow reduces manual interpretation
Cons
- Best value depends on already using the Omnipod system
- Limited stand-alone glucose analytics compared with dedicated CGM software
- Advanced reporting depth is less compelling for research-style review
Best For
Omnipod users needing integrated glucose display for insulin decision workflows
More related reading
Diasend
clinical reportsAggregates glucose meter and CGM readings into clinician-friendly reports and sharing utilities.
Cross-device aggregation that unifies blood glucose data from multiple meter brands
Diasend focuses on consolidating blood glucose readings from compatible meters into a single patient data record for review and sharing. The solution supports uploading and organizing results by device, creating trends and highlights clinicians can use during follow-ups. Data export and integration with healthcare workflows help teams move from raw meter values to actionable reports. The strongest differentiation is cross-device aggregation for diabetes management rather than standalone device control.
Pros
- Aggregates glucose readings from multiple compatible meters into one patient timeline.
- Provides clinician-oriented views like trends and change over time summaries.
- Supports sharing and exporting data for care coordination workflows.
Cons
- Limited usefulness when meters are not supported or uploads are inconsistent.
- Setup and device pairing steps can be burdensome for clinics managing many patients.
- Depth of analytics depends heavily on the connected devices and submitted data quality.
Best For
Clinics needing cross-device glucose data consolidation for ongoing diabetes follow-ups
myDiabby
mobile trackingTracks blood glucose, boluses, and related diabetes metrics and generates shareable summaries for users and providers.
Glucose trend charts built for quick visual review of logged readings
myDiabby stands out as a diabetes-focused blood glucose meter companion centered on daily readings and structured tracking. Core capabilities include logging glucose results, viewing trends, and supporting routine monitoring workflows. The product positions itself for people and care contexts that need consistent records rather than advanced clinical analytics. Data organization emphasizes usability for repeated self-management over deep integrations and automation.
Pros
- Fast glucose logging flow optimized for frequent daily entries
- Clear charts for glucose trends across time windows
- Diabetes-centered layout that keeps the most relevant data visible
Cons
- Limited evidence of deep device integrations for specific glucose meters
- Few advanced analytics tools beyond basic trends and history views
- Caregiver and export capabilities appear less prominent than core tracking
Best For
People who need simple daily glucose tracking and trend views
Glooko
data aggregationCollects glucose meter and CGM data and provides analytics, patient engagement, and provider reporting dashboards.
Automated glucose pattern and trend analytics across uploaded meter readings
Glooko stands out by centralizing diabetes device data from multiple sources into one reporting and analytics experience. The core capabilities include data upload from blood glucose meters and continuous glucose monitoring platforms, longitudinal trends, and chart-based review for clinician-style decision support. Glooko also supports structured insights such as time-in-range style reporting and event summaries tied to readings and therapy context. The solution fits users who want repeatable glucose review workflows across a library of supported devices.
Pros
- Supports multi-device diabetes data ingestion into unified glucose timelines
- Robust trend analytics with drill-down from summary charts to underlying readings
- Clinician-style review views for structured session-to-session comparison
- Useful summaries for patterns tied to testing times and reading distributions
Cons
- Onboarding and device pairing can be slower than simple meter-only apps
- Advanced insights still require consistent data quality and device syncing discipline
- Workflow clarity varies across roles and screen layouts
Best For
Diabetes programs needing cross-device glucose reporting and clinician-style reviews
More related reading
Diarium
daily logTracks blood glucose readings and diabetes events in a structured log with visual trends and export options.
Interactive blood glucose charts built from manually logged meter readings
Diarium focuses on personal diabetes journaling with structured blood glucose logging and trend visibility. It supports importing and reviewing meter readings through a dedicated log, then summarizes patterns across time to help connect results with daily routines. The app is strongest as a day-to-day tracking journal rather than a full clinical decision platform or device integration hub.
Pros
- Fast entry workflow for blood glucose readings with minimal friction
- Clear charts and summaries that highlight trends across days
- Practical journaling fields for associating readings with context
Cons
- Limited evidence of broad blood glucose meter device connectivity
- Analysis stays at journaling and trend level without advanced clinical tools
- Exporting and reporting options feel less robust than enterprise tools
Best For
Individuals needing simple blood glucose logging and trend tracking
CareClinic
habit trackingTracks health vitals and glucose readings in a calendar format with reminders and shareable reports.
Care team sharing of glucose history for clinician and caregiver review
CareClinic centers on blood glucose tracking workflows with structured logging for readings and related health context. The solution focuses on turning meter-captured data into trend views and usable records for ongoing diabetes management. It also supports care team workflows through sharable history so clinicians and caregivers can review patterns. The tool’s core strength is consistent capture and visualization rather than device-level configuration for every meter brand.
Pros
- Clear blood glucose logging with fields for meals, meds, and context
- Trend views make patterns easier to spot across days and weeks
- Sharing and care-team review workflows support coordinated follow-up
Cons
- Limited depth for complex multi-meter setups and device calibration needs
- Less suited for advanced analytics like custom modeling or automated cohort rules
Best For
Clinics and care teams that need consistent logging and trend sharing
More related reading
Blood Glucose Tracker by Diabetes:M
mobile trackingRecords blood glucose values and medication details with charts and summaries intended for diabetes self-management.
Glucose history timeline with trend-focused summaries for quick pattern recognition
Blood Glucose Tracker by Diabetes:M focuses on organizing blood glucose readings into a structured logging experience for personal tracking. Core capabilities include capturing glucose values, maintaining records over time, and presenting trends through basic analytics views. The tool is designed around routine diabetes monitoring workflows rather than clinical-grade data interoperability.
Pros
- Fast logging flow for routine glucose entry
- Clear history timeline that supports quick review of past readings
- Trend-oriented views help spot changes across days
Cons
- Limited evidence of advanced analytics like insulin dosing calculators
- Weak depth for multi-user sharing and collaborative care workflows
- Minimal support signals for integrations with glucose meters or EHR systems
Best For
Individuals needing straightforward glucose logging and lightweight trend views
Health2Sync
care coordinationEnables diabetes data entry and sharing for care coordination using a web portal and patient-facing tools.
Health2Sync’s health data sync keeps blood glucose entries aligned across devices
Health2Sync centers on syncing health readings with a mobile-first workflow for managing blood glucose data. It supports structured entry and organization of glucose results, then routes that information into reports and visual progress tracking. The tool’s distinct angle is turning meter readings into a consistent, longitudinal dataset for monitoring trends over time.
Pros
- Glucose results are organized into a consistent history for trend monitoring
- Visual progress views support quick interpretation of changes over time
- Data synchronization helps reduce manual re-entry across devices
Cons
- Limited evidence of deep meter-specific device integrations compared with top tools
- Advanced analytics and automation options appear less comprehensive than leading platforms
- Workflow setup can feel technical when aligning sources and data formats
Best For
Individuals or small clinics tracking glucose trends with simple reporting
How to Choose the Right Blood Glucose Meter Software
This buyer’s guide explains how to choose Blood Glucose Meter Software for self-management logging, cross-device consolidation, and clinician-ready reporting. It covers mySugr, Dexcom CLARITY, Omnipod DISPLAY, Diasend, myDiabby, Glooko, Diarium, CareClinic, Blood Glucose Tracker by Diabetes:M, and Health2Sync. The guide connects concrete product workflows like guided logging, CGM-style dashboards, and cross-device aggregation to specific user needs.
What Is Blood Glucose Meter Software?
Blood Glucose Meter Software captures blood glucose readings and organizes them into trends, summaries, and shareable records for care decisions and follow-up. Some tools target fast personal logging, like mySugr and Diarium, where readings and context are entered quickly and visualized for day-to-day pattern recognition. Other tools focus on clinician-style review and longitudinal insight, like Dexcom CLARITY and Glooko, where glucose histories and analytics support retrospective care adjustments. Cross-device consolidation tools like Diasend unify readings from multiple compatible meters into one patient timeline for follow-ups.
Key Features to Look For
The best match depends on whether the workflow is optimized for quick entry, longitudinal review, or cross-device aggregation.
Guided, low-friction glucose logging with contextual fields
mySugr delivers a game-like guided logging flow that reduces effort for frequent daily entries while collecting glucose plus related context. Diarium also focuses on fast entry with structured journaling fields tied to routine tracking, which helps turn readings into interpretable patterns.
Pattern-focused dashboards with clinician-style trend views
Dexcom CLARITY centers on trend visualization and report dashboards for averages and time-in-range style analysis. Glooko provides clinician-style review views with drill-down from summary charts into underlying readings, which supports structured session-to-session comparison.
Time-based longitudinal histories and change over time summaries
Dexcom CLARITY emphasizes longitudinal tracking that highlights changes over time rather than isolated readings. CareClinic and Health2Sync both organize glucose results into trend views across days and weeks, which supports consistent monitoring and follow-up patterns.
Cross-device aggregation for unifying multiple meter sources
Diasend aggregates glucose readings from multiple compatible meters into one patient timeline for review and sharing. Glooko also supports multi-device ingestion into unified glucose timelines so programs can repeat the same review workflow across a library of supported devices.
Care-team sharing and export workflows for follow-ups
Dexcom CLARITY includes sharing and invitation workflows that support caregiver and clinician visibility. Diasend supports clinician-friendly reports with sharing and exporting utilities, while CareClinic adds care-team sharing of glucose history for clinician and caregiver review.
Ecosystem-aligned glucose display for insulin delivery workflows
Omnipod DISPLAY integrates glucose views with Omnipod insulin delivery context so near-term decision support aligns with device-driven insulin management. This approach is strongest when the diabetes workflow already runs through Omnipod hardware and needs glucose context tied to insulin delivery status.
How to Choose the Right Blood Glucose Meter Software
Pick the tool that matches the primary workflow: quick daily journaling, longitudinal CGM-style reporting, cross-device consolidation, or ecosystem-specific integration.
Match the logging workflow to daily behavior
For frequent self-checking with minimal friction, mySugr is built around game-like guided logging that captures glucose plus contextual information in a structured routine. For users who prefer a simple journaling approach with interactive charts from manually logged readings, Diarium stays focused on day-to-day entry and trend visibility.
Choose dashboards designed for the type of data being reviewed
For CGM-based reporting and longitudinal pattern analysis, Dexcom CLARITY is designed around Dexcom streams and produces report dashboards for averages and time-in-range style analysis. For broader diabetes programs that ingest multiple meter and CGM sources into one place, Glooko delivers robust trend analytics with drill-down from charts to underlying readings.
Confirm whether cross-device unification is required
Clinics that need a single patient record across multiple meter brands should evaluate Diasend because it aggregates readings from multiple compatible meters into one patient timeline. Programs that want unified timelines plus repeatable review workflows across device libraries should evaluate Glooko for multi-device ingestion.
Decide who will view the results and how they need to share them
If caregivers and clinicians need visibility into graphs and metrics for retrospective review, Dexcom CLARITY provides sharing and invitation workflows and report dashboards. If the goal is clinic follow-ups using consolidated patient records, Diasend supports clinician-oriented views with sharing and exporting utilities, and CareClinic supports sharable history for coordinated follow-up.
Select ecosystem-specific software only when the ecosystem matches
Omnipod DISPLAY fits best when the diabetes management workflow already depends on Omnipod insulin delivery, because it ties glucose views to insulin delivery status for aligned interpretation. For users who mainly need general glucose logging and lightweight trend summaries, Blood Glucose Tracker by Diabetes:M and myDiabby keep the workflow simple and centered on structured self-management records.
Who Needs Blood Glucose Meter Software?
Blood Glucose Meter Software is used by individuals for daily tracking and clinics for consolidated reporting and sharing.
People who want guided, easy daily glucose tracking and trend insights
mySugr is best for this audience because it uses game-like guided logging to make frequent entry fast and it generates strong trend views for readings plus carbs and contextual patterns. myDiabby and Diarium also fit this use case because they focus on quick logging and trend charts designed for personal review.
Clinicians and caregivers who need CGM-based longitudinal review
Dexcom CLARITY is best for care teams because it converts CGM streams into actionable report dashboards with averages and time-in-range style analysis. This tool emphasizes longitudinal history and sharing workflows for caregiver and clinician visibility.
Omnipod users who need glucose context aligned to insulin delivery
Omnipod DISPLAY is the strongest fit because it integrates glucose views with Omnipod insulin delivery context so glucose interpretation aligns with the on-body insulin workflow. This approach supports near-term decision support within the Omnipod ecosystem.
Clinics and diabetes programs that must consolidate multiple meter sources into one patient timeline
Diasend is designed for clinics needing cross-device consolidation by aggregating readings from multiple compatible meters into clinician-friendly patient timelines. Glooko also fits diabetes programs because it supports multi-device ingestion into unified glucose timelines and clinician-style review views with drill-down analytics.
Common Mistakes to Avoid
Misalignment between the software’s core workflow and the intended data flow creates avoidable friction across the reviewed tools.
Choosing a CGM dashboard tool for non-CGM meter workflows
Dexcom CLARITY is built around Dexcom data streams and is strongest for CGM-based reporting and longitudinal review, so it is a poor match for workflows that rely on non-Dexcom meters. Tools like Diasend and Glooko are better aligned to consolidation across multiple meter sources.
Assuming advanced clinical analytics exist even when the tool is journaling-first
Diarium and Blood Glucose Tracker by Diabetes:M focus on basic trends, history timelines, and self-management logging rather than advanced clinical decision modeling. Clinics that need report-ready pattern analytics should prioritize Glooko or Dexcom CLARITY for structured, clinician-style trend analysis.
Ignoring data-quality dependence when setting up context-rich insights
mySugr generates insights that rely heavily on the quality of manual context like meal entries, so inconsistent context capture weakens interpretability. Glooko and other analytics-driven tools also depend on consistent data quality and device syncing discipline to keep trend views meaningful.
Overlooking that cross-device consolidation requires supported integrations and consistent uploads
Diasend’s cross-device aggregation depends on connected devices and consistent uploads, so unsupported meters or inconsistent submissions limit the unified timeline. Health2Sync and other sync-oriented tools also require aligning sources and data formats to keep histories accurate for longitudinal monitoring.
How We Selected and Ranked These Tools
we evaluated every tool on three sub-dimensions: features with weight 0.4, ease of use with weight 0.3, and value with weight 0.3. the overall rating is calculated as overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. mySugr separated from lower-ranked tools because its guided, game-like daily logging flow combines high ease of use for frequent entries with strong trend views for readings and contextual patterns.
Frequently Asked Questions About Blood Glucose Meter Software
Which blood glucose meter software tools work best for fast daily logging without complicated setup?
mySugr is designed for quick, guided logging that captures glucose alongside context like carbs and then generates trend views. Diarium and myDiabby also emphasize day-to-day journal workflows with easy entry and readable charts built from logged readings.
What tools are strongest for clinical-style reporting and longitudinal review of glucose trends?
Dexcom CLARITY focuses on turning CGM streams into graphs, averages, and pattern dashboards for clinical and caregiver review. Glooko and Diasend focus on reportable history from uploaded meter or device data, including trend analysis and clinician-ready summaries.
Which solution consolidates glucose results from multiple meter brands into a single record?
Diasend is built for cross-device aggregation by uploading and organizing results by device so one patient record can be reviewed consistently. Glooko also centralizes data across supported diabetes devices and formats it into longitudinal reporting for chart-based review.
Which software is the best fit for Omnipod users who need glucose display tied to insulin delivery workflows?
Omnipod DISPLAY aligns glucose views with the Omnipod insulin delivery ecosystem so users can interpret readings in the context of on-body diabetes management. This makes it a companion experience rather than a standalone deep analytics platform.
How do these tools help users spot patterns over time instead of only listing raw glucose values?
Glooko provides automated chart-based analytics across uploaded meter and CGM sources, including summaries tied to reading patterns. mySugr and myDiabby emphasize trend charts generated from repeated logging behavior, while Diarium summarizes patterns across time in a journaling format.
Can blood glucose meter software support sharing for clinicians and caregivers, not just personal tracking?
CareClinic is designed around sharable glucose history so clinicians and caregivers can review patterns in a structured record. Dexcom CLARITY also supports caregiver and clinical communication by centering longitudinal reports and shareable dashboards.
Which tools are best suited for manual logging when direct meter integration is limited?
Diarium supports importing and reviewing meter readings through a dedicated log and then summarizes patterns from the journal timeline. Blood Glucose Tracker by Diabetes:M and myDiabby focus on structured manual capture with lightweight trend views for repeatable self-monitoring.
What technical workflow differences exist between upload-based platforms and on-device companion apps?
Diasend and Glooko center on uploading readings from meters and other diabetes devices to produce consolidated history and analytics views. Omnipod DISPLAY functions as a companion glucose display inside the Omnipod insulin delivery workflow, while mySugr and myDiabby lean toward guided entry and trend generation directly from logged data.
What common setup goal should users plan for when choosing glucose software for multi-device use?
Users who need one longitudinal dataset across multiple devices should prioritize Diasend or Glooko to reduce fragmented records and unify results into repeatable reporting workflows. Users who primarily need personal trend tracking with minimal friction should focus on mySugr, myDiabby, or Diarium, which organize readings as daily logs with trend visibility.
Conclusion
After evaluating 10 healthcare medicine, mySugr stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Referenced in the comparison table and product reviews above.
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