GITNUXSOFTWARE ADVICE
Communication MediaTop 10 Best Call Centre Analytics Software of 2026
Ranked roundup of call centre analytics software tools with feature notes and tradeoffs for contact centre teams, including Genesys Cloud CX, MiaRec, Verint.
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%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Genesys Cloud CX is the best fit when your analytics must connect tightly to routing, QA scoring, and workflow-driven follow-up, whereas MiaRec works better for QA teams that want transcript-backed scoring and trend reporting across high call volumes.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Genesys Cloud CX
Automated quality management workflows that operationalize conversation insights into scorecards and review actions.
Built for fits when analytics must connect to Genesys routing, QA scoring, and workflow-driven follow-up..
MiaRec
Editor pickReview workflow ties reviewer decisions to conversation context for audit-friendly QA trail.
Built for fits when QA teams need transcript-backed scoring and trend reporting across large interaction volumes..
Verint
Editor pickEnterprise Quality Management workflows that translate analytics outputs into consistent QA scoring, reviews, and coaching assignments.
Built for fits when enterprise contact centres need governed QA scorecards powered by interaction analytics..
Comparison Table
Genesys Cloud CX
enterpriseCloud contact center software provides interaction analytics, journey insights, quality management, and operational reporting.
Automated quality management workflows that operationalize conversation insights into scorecards and review actions.
Genesys Cloud CX centralizes interaction data around Genesys routing and customer engagement events, so analytics can be filtered by campaign, queue, and routing context. Automated QA workflows support scoring and review triggers, while configurable dashboards help monitor volume, outcomes, and performance over time. The automation and API options support outbound actions and data sync patterns rather than limiting teams to vendor dashboards.
A notable tradeoff is that deeper analytics automation typically requires workflow configuration plus integration work for external data sources. Genesys Cloud CX fits best when contact center teams already run Genesys routing and want analytics to drive consistent QA and operational actions.
- +Conversation analytics filters align with Genesys routing outcomes
- +QA scoring workflows can trigger structured review and coaching
- +Automation actions can integrate analytics signals into operations
- +API access supports custom metrics, enrichment, and reporting
- –Advanced analytics automation needs workflow and integration configuration
- –Non-Genesys data models require mapping into Genesys event context
Contact center operations leads
Track outcomes by queue and routing
Faster routing and process tuning
Quality management teams
Automate QA scoring and review
More consistent coaching coverage
Show 2 more scenarios
Analytics engineering teams
Build custom analytics and enrichment
Tailored reporting and actions
Teams use API access to pull interaction analytics and write back derived metrics into workflows.
Customer experience analysts
Monitor conversation content for trends
Improved call reason management
Analysts use transcription-backed views to spot recurring themes across interactions and programs.
Best for: Fits when analytics must connect to Genesys routing, QA scoring, and workflow-driven follow-up.
MiaRec
contact center specialistCall recording and speech analytics software supports transcription, sentiment analysis, quality assurance, and compliance.
Review workflow ties reviewer decisions to conversation context for audit-friendly QA trail.
MiaRec fits teams that run structured quality management and need conversation-level traceability from transcript to reviewer decisions. Interaction recording with synchronized transcripts supports call coaching and review workflows, while topic and intent-style analysis can reduce manual labeling load. Analytics reporting centers on agent performance analytics and QA scoring patterns over time.
A key tradeoff is that deeper automation depends on disciplined configuration of labeling rules, scorecard structure, and review routing. MiaRec works best when a contact centre already has a defined call taxonomy and a repeatable QA process that reviewers follow consistently.
- +Conversation playback with transcript alignment for faster QA review
- +Quality management scorecards that map directly to reviewer outcomes
- +Analytics views that track QA and agent performance over time
- +Configurable interaction workflows for call reason and topic coverage
- –Automation depth depends on consistent taxonomy and scorecard setup
- –Complex dashboards can take time for non-admin reviewers to interpret
- –Some advanced workflow changes require admin intervention
- –Reporting granularity may require careful selection of captured fields
Quality assurance leads
Standardize scoring and coaching evidence
More consistent QA outcomes
Contact centre managers
Diagnose recurring QA failures
Fewer repeat mistakes
Show 1 more scenario
Workforce analytics teams
Monitor agent performance trends
Improved performance targeting
Teams compare agent performance analytics using conversation-level QA metrics and review rates.
Best for: Fits when QA teams need transcript-backed scoring and trend reporting across large interaction volumes.
Verint
enterpriseCustomer engagement software provides speech analytics, quality management, compliance analysis, and workforce intelligence.
Enterprise Quality Management workflows that translate analytics outputs into consistent QA scoring, reviews, and coaching assignments.
Verint is built for organizations that require structured quality review and performance management alongside interaction analytics. Analytics outputs can be used to drive automated QA scoring, review sampling, and call tagging for later disposition and trend reporting. Admin controls support role-based access and audit trails for review activity, which matters when multiple lines of business share the same contact-centre environment.
A key tradeoff is that getting consistent outcomes across teams typically requires disciplined configuration of review templates, scoring rules, and taxonomy mapping. Verint fits best when teams need repeatable QA scorecards tied to analytics outputs, rather than ad hoc dashboards for a single team’s analysts.
- +Quality Management workflows connect analytics signals to review and coaching
- +Role-based access and audit logs support multi-team governance
- +Configuration supports consistent scoring across campaigns and sites
- +APIs and integrations support connecting CRM, WFM, and reporting systems
- –QA templates and scoring rules require governance discipline
- –Some analytics configuration takes longer than dashboard-only tools
- –Advanced configuration can increase dependency on implementation support
- –Cross-channel setups can require more planning than voice-only deployments
Contact centre QA leads
Standardize scoring across sites
More consistent quality outcomes
Operations analytics managers
Track performance drivers by campaign
Faster root-cause identification
Show 2 more scenarios
Enterprise integration teams
Feed analytics into existing systems
Reduced data duplication
APIs support operational reporting and downstream processing across CRM and analytics stacks.
Compliance and assurance teams
Control review activity at scale
Stronger oversight evidence
RBAC and audit logs document who reviewed what and how scores were applied.
Best for: Fits when enterprise contact centres need governed QA scorecards powered by interaction analytics.
NICE CXone
enterpriseCloud contact center software includes interaction analytics, quality management, workforce tools, and customer experience reporting.
Automated quality management can apply conversation-based evidence to quality scorecards for targeted coaching.
NICE CXone is a call centre analytics suite built around the NICE CXone interaction analytics stack and quality management workflows. It supports interaction recording and speech-to-text transcription for speech analytics, then ties results to agent performance analytics and quality assurance scorecards for automated quality management.
It also provides workflow automation and extensibility through configuration and API access, which helps integrate customer interactions with other contact centre systems. Administration and governance features like role-based access and audit visibility support controlled rollout across teams.
- +Quality assurance scorecards can be driven by analytics results
- +Interaction analytics workflow automation supports review at scale
- +Extensibility via API supports integration with contact centre tooling
- +Role-based access and audit visibility support governed deployments
- –Speech analytics configuration can take time to tune per program
- –Advanced governance and automation workflows require admin discipline
Best for: Fits when contact centres need analytics-to-QA workflows with governed access and integration depth across channels.
Talkdesk
enterpriseContact center software provides interaction analytics, quality management, reporting, and AI-based customer experience insights.
Talkdesk conversation search ties transcription text to interaction analytics filters for targeted QA review.
Talkdesk provides call centre conversation intelligence built around automated speech-to-text transcription and interaction analytics for QA and agent performance review.
It combines real-time and post-call insights, including search and scoring workflows tied to customer conversations.
Talkdesk also supports integrations for common contact centre systems so transcripts, metrics, and call artifacts can be used in downstream quality management and reporting.
Governance is handled through role-based access and audit visibility across workspace actions and data views.
- +Conversation search uses speech-to-text so teams can locate issues fast
- +Quality management scorecards can be tied to conversation outcomes and trends
- +Integration options connect conversation analytics into existing contact centre workflows
- +RBAC plus audit log visibility supports controlled review and oversight
- –Some advanced analysis workflows require configuration and governance discipline
- –Deep customization of taxonomy and scoring can take iterative setup
- –Automation depends on data and event readiness from connected systems
- –Reporting flexibility may lag teams that need fully custom dashboards
Best for: Fits when contact centres want speech-to-text driven interaction analytics with controlled QA review workflows.
Dialpad
SMBAI contact center software provides call transcription, sentiment analysis, coaching insights, and performance reporting.
Dialpad quality management scorecards connect conversation insights to standardized scoring for coaching and QA calibration.
Dialpad fits contact centre teams that need analytics built around real-time voice intelligence and agent guidance inside everyday workflows. Dialpad uses speech-to-text transcription, conversation intelligence dashboards, and quality management scoring to tie call outcomes to behaviors across teams.
Admin controls cover user provisioning and role-based access, while reporting can be automated through integrations and API-based data access. Conversation analytics also supports knowledge like talk-listen ratio and interruption patterns for coaching and QA calibration.
- +Conversation intelligence ties transcripts to actionable agent and call metrics
- +Quality management scorecards help standardize scoring across teams
- +API and integrations support pushing analytics into existing workflows
- +Silence and hold-time analytics supports operational call handling analysis
- –Deeper customization depends on integration configuration and data mapping
- –Some advanced analytics require consistent recording coverage across channels
Best for: Fits when contact centres need conversation intelligence plus QA scorecards tied to transcripts.
CallMiner
enterpriseConversation intelligence software analyzes contact center calls, transcripts, sentiment, compliance, and agent performance.
Rule-driven quality scorecards that apply conversation signals during automated quality management.
CallMiner differentiates itself with evaluation workflows built around conversation insights and analyst-grade quality management. It ingests contact center audio and metadata to support call categorization, performance dashboards, and automated quality scoring tied to speech and business rules.
The system also supports supervised automation via APIs and integration connectors for CRM, workforce tools, and recording sources. Admin controls focus on managed configuration, user permissions, and governance for scaling models across teams.
- +Automated quality evaluations link speech signals to scorecards and rules
- +Strong interaction classification for consistent call reason taxonomy
- +API and integrations support pushing insights into CRM and QA workflows
- +Review and calibrate models with analyst-driven feedback loops
- –Model configuration and rule tuning require ongoing governance discipline
- –Some reporting dashboards depend on prior data mapping work
- –Setup effort increases when multiple channels and recording sources differ
- –Advanced analytics tuning can take time for QA teams
Best for: Fits when contact centers need analyst-grade QA automation tied to conversation analytics and managed governance.
Observe.AI
enterpriseAI software evaluates contact center conversations, agent quality, customer sentiment, and operational performance.
Conversation intelligence views that connect speech-to-text transcription to agent behavior and QA scoring.
Observe.AI focuses on conversation intelligence built around call and agent session recordings with measurable analytics. The system supports speech-to-text transcription, interaction analytics, and agent performance reporting for quality management workflows.
Its admin setup emphasizes permissions, auditability, and configurable data access to govern who can view and analyze interactions. Observe.AI also provides an integration and API surface for wiring analytics into operational dashboards and downstream tooling.
- +Transcription and conversation analytics tied directly to agent session playback
- +Configurable quality management scorecards for repeatable QA coverage
- +Strong integration and API surface for pushing interaction insights to other systems
- +Permission controls support restricted access to recordings and analytics
- –Advanced configuration takes time when onboarding multiple teams and channels
- –Some analysis outputs require careful definition of call reasons and search logic
Best for: Fits when contact centers need recording-linked analytics and governed QA scorecards with API-driven integration.
Uniphore
enterpriseConversational AI software analyzes customer and agent interactions for quality, compliance, coaching, and performance.
Automated quality management workflows that score conversations and route exceptions to coaching and compliance teams.
Uniphore turns recorded and live contact-centre interactions into conversation intelligence that focuses on compliance, coaching, and resolution quality. Core capabilities include automated speech-to-text transcription, intent and topic classification, and quality management scorecards tied to call outcomes.
Uniphore also supports automated quality management workflows that can flag risk conversations and route insights to managers for follow-up. Integration coverage targets contact-centre ecosystems through connectors for common recording, CRM, and contact management data streams.
- +Conversation intelligence outputs that drive automated quality management workflows
- +Speech-to-text transcription used directly for scoring and classification
- +Quality scorecards link interaction evidence to coaching and escalation
- +Configurable analytics for compliance monitoring and contact disposition
- –Automation rules need careful governance to avoid noisy alerts
- –Deeper optimization typically requires analyst time for taxonomy refinement
- –Advanced integrations can depend on contact-centre data format consistency
- –Cross-channel reporting coverage may require separate configuration per channel
Best for: Fits when teams need automated quality management from transcription plus scoring, with manager workflows and governance controls.
Cresta
enterpriseContact center AI analyzes conversations and provides agent assistance, quality evaluation, coaching, and performance insights.
Configurable automated quality management workflows that turn conversation intelligence into scorecards and review actions.
Cresta is call centre analytics software that focuses on turning customer conversations into structured outputs for agent coaching and QA workflows. It uses interaction intelligence to detect conversation drivers like intent, topic, and outcomes, then routes results into configurable quality and performance processes.
Core capabilities include speech analytics on recorded or streamed interactions, automated scorecarding, and conversation taxonomy alignment to contact disposition and QA standards. Cresta is distinct for how it operationalizes conversation insights into repeatable review workflows rather than only dashboarding metrics.
- +Automates conversation-based QA scorecards tied to review workflows
- +Conversation intelligence outputs support consistent call reason and disposition tagging
- +Admin controls support permissioning for who can view and manage insights
- +Extensible integrations support moving interaction findings into existing systems
- –Conversation taxonomy setup requires governance to prevent drifting labels
- –Some analytics outputs depend on data readiness from the speech pipeline
- –Workflow configuration can take time compared with simpler dashboard tools
- –Reporting depth can lag dedicated QA suite scorecard customization
Best for: Fits when contact centre teams need repeatable conversation intelligence for QA scoring and agent coaching workflows.
Conclusion
After evaluating 10 communication media, Genesys Cloud CX 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.
How to Choose the Right call centre analytics software
Call centre analytics software turns recorded interactions into decision-ready insights for QA teams, contact centre managers, and operations leads. This buyer's guide covers Genesys Cloud CX, MiaRec, Verint, NICE CXone, Talkdesk, Dialpad, CallMiner, Observe.AI, Uniphore, and Cresta based on how each product moves from conversation intelligence into review workflows.
The comparison focuses on integration depth into routing and operational systems, automation and API surface for provisioning and data flow, and admin governance controls like RBAC and audit logs. The standout differences across the list show up most clearly in how automated quality management scorecards connect to transcripts, reviewer actions, and coaching assignments.
Call centre analytics software for conversation intelligence to QA scorecards
Call centre analytics software processes speech-to-text transcripts and interaction metadata to generate conversation intelligence outputs such as call reason classification, sentiment signals, and evidence for quality scoring. It then connects those outputs to interaction search, agent performance analytics, and automated quality management scorecards used in QA calibration and coaching workflows.
Genesys Cloud CX is built to operationalize conversation insights inside QA and workflow-driven follow-up, where analytics filters align with routing outcomes and QA scoring can trigger structured review actions. Verint and NICE CXone emphasize enterprise QA governance, with quality management workflows that translate analytics signals into governed scorecards, reviews, and coaching assignments supported by role-based access and audit logging.
Analytics-to-QA workflow controls and integration depth
Call centre analytics software becomes decision-ready only when conversation insights feed a governed review loop, not when transcripts and dashboards sit alone. The strongest options connect conversation intelligence to QA scorecards and reviewer actions so managers can move from search results to coaching outcomes.
The differences across Genesys Cloud CX, Verint, and NICE CXone show up most clearly in how analytics outputs become repeatable QA scoring, how those scorecards map to reviewer work, and how much admin control exists through access controls and audit trails.
Automated quality management workflows tied to analytics evidence
Genesys Cloud CX uses automated quality management workflows that operationalize conversation insights into scorecards and review actions. NICE CXone also drives quality assurance scorecards from interaction analytics workflow automation for review at scale.
Transcript-aligned review workflow for audit-friendly QA trails
MiaRec ties reviewer decisions to conversation context with transcript alignment for an audit-friendly QA trail. Talkdesk also links quality management scorecards to conversation outcomes and trends through conversation search built on speech-to-text transcripts.
Enterprise governance with RBAC and audit logs for multi-team QA
Verint delivers enterprise Quality Management workflows that translate analytics outputs into governed QA scoring, reviews, and coaching assignments. Verint also includes role-based access and audit logs to support multi-team governance.
Rule-driven and managed-scoring QA automation
CallMiner uses rule-driven quality scorecards that apply conversation signals during automated quality management. Cresta provides configurable automated quality management workflows that turn conversation intelligence into scorecards and review actions.
Conversation intelligence to agent behavior and QA scoring
Observe.AI connects transcription and conversation analytics directly to agent session playback, with configurable quality management scorecards. Dialpad ties conversation intelligence to standardized QA scorecards so coaching and QA calibration stay consistent across teams.
Exception routing and manager workflows inside automated QA
Uniphore routes scored conversations and exceptions to coaching and compliance teams as part of automated quality management workflows. Uniphore also uses speech-to-text transcription directly for scoring and classification in those manager workflows.
How to choose call centre analytics software for QA outcomes
Selecting call centre analytics software should start with the workflow stage that needs automation, because the best tooling differs when QA teams want reviewer trails versus analyst-grade scoring automation. The second deciding axis is integration depth into the systems that already own routing outcomes, agent context, and operational actions.
The steps below force different product philosophies to the surface, including workflow-first automation and governance-first enterprise QA orchestration.
Match the target workflow: QA calibration versus review action automation
If the goal is to trigger structured review and coaching from conversation insights, prioritize Genesys Cloud CX because QA scoring workflows can trigger structured review actions tied to Genesys routing outcomes. If the goal is repeatable scorecards driven by conversation intelligence and review workflows, Cresta fits the pattern of automated scorecards connected to review actions.
Choose the review evidence model: transcript-backed trails versus search-first investigation
If QA reviewers need transcript-aligned decisions that create an audit-friendly trail, select MiaRec since conversation playback aligns with transcripts for faster QA review tied to reviewer outcomes. If analysts need to locate issues quickly using speech-to-text backed conversation search, Talkdesk pairs transcript-driven search with scorecards tied to conversation outcomes and trends.
Pick governance depth for multi-team ownership
For enterprise contact centres that need governed QA scorecards with multi-team visibility controls, choose Verint because role-based access and audit logs support multi-team governance. For teams that want analytics-to-QA workflows with governed access plus integration depth across channels, NICE CXone provides interaction analytics workflow automation with quality assurance scorecards.
Decide who will own scoring rules and how often they change
If rule tuning is expected to happen continuously, CallMiner requires ongoing governance discipline because automated quality evaluations link speech signals to scorecards and rules. If scorecards must be standardized and repeatable through managed configuration, Dialpad emphasizes conversation intelligence connected to quality management scorecards for standardized scoring across teams.
Validate onboarding complexity for multi-team and multi-channel setups
If multiple teams and channels must be onboarded with careful configuration, Observe.AI can take time for advanced configuration during onboarding because analysis outputs depend on careful definition of call reasons and search logic. If workflows depend on tight program-level tuning, NICE CXone can take time because speech analytics configuration needs tuning per program.
Confirm exception handling inside QA so coaching and compliance get routed work
If exception routing to coaching and compliance teams is a core requirement, choose Uniphore because automated quality management workflows route exceptions along with scored conversations. If exception handling is less central than governed scoring and review action automation, Genesys Cloud CX and NICE CXone focus on connecting analytics outputs into QA workflows and scorecards.
Who should buy call centre analytics software
Call centre analytics software fits teams that already record interactions and want to turn conversation intelligence into measurable quality outcomes. The category also fits organizations where QA work must scale across many agents and many locations with consistent scoring.
The list differs in who gets the day-to-day value, either QA reviewers who need transcript-aligned evidence, managers who need governance and audit trails, or analysts who need automation driven by rules and integration context.
Contact centre QA leaders running calibration and coaching
Verint and NICE CXone support governed quality management workflows that translate analytics signals into consistent QA scorecards for reviews and coaching assignments.
QA analysts who need evidence trails tied to reviewer decisions
MiaRec is built around review workflows that connect reviewer outcomes to conversation context with transcript alignment for audit-friendly QA trails.
Operations teams that need analytics to trigger follow-up actions
Genesys Cloud CX fits when analytics must align with Genesys routing outcomes so QA scoring workflows can trigger structured review and coaching follow-up.
Enterprise governance owners managing multi-team access
Verint includes role-based access and audit logs so governance owners can track QA activity across teams.
Teams automating exception handling across compliance and coaching
Uniphore supports automated quality management workflows that score conversations and route exceptions to coaching and compliance teams.
Common mistakes when buying call centre analytics software
Many buyers select call centre analytics software based on transcript quality or dashboard visuals. The implementation risk shifts to QA workflow mapping once scorecards must reflect evidence, governance, and operational follow-up.
The mistakes below show where projects fail in practice when automation needs governance discipline, when taxonomy setup is neglected, or when review workflows do not match the way QA teams actually work.
Buying for dashboards without validating automated QA workflow triggers
Genesys Cloud CX and NICE CXone are designed around analytics-to-QA workflow automation, so a dashboard-only evaluation misses the core value. Confirm that scorecards can trigger the structured review actions the QA team uses for coaching.
Underestimating governance discipline for QA templates and rule tuning
Verint requires governance discipline because QA templates and scoring rules must be maintained to stay consistent. CallMiner also needs ongoing governance discipline since rule tuning controls automated quality evaluations.
Skipping taxonomy and call-reason setup work, then expecting consistent classification
Cresta depends on conversation taxonomy setup to prevent drifting labels, so label governance must be part of onboarding. Observe.AI and other options that rely on call reason definitions can produce weaker search logic when those definitions are incomplete.
Ignoring integration context when mapping analytics results to operational systems
Genesys Cloud CX can require mapping when non-Genesys data models must be integrated into Genesys event context. Confirm how conversation analytics outputs map to routing outcomes before committing to an operational workflow.
Expecting non-admin reviewers to interpret complex dashboards immediately
MiaRec can take time for non-admin reviewers to interpret complex dashboards, so a QA leadership training step is needed. Dialpad’s value depends on consistent recording coverage across channels when using conversation intelligence for QA scorecards.
How We Selected and Ranked These Tools
We evaluated call centre analytics software on workflow automation and how each product connects conversation intelligence into QA scorecards, reviewer actions, and coaching follow-up. Features accounted for 40% of the ranking because Genesys Cloud CX can operationalize conversation insights into automated quality management workflows that trigger structured review actions.
Ease and value each accounted for 30% because the list distinguishes tools with review-workflow alignment like MiaRec from enterprise governance patterns in Verint and NICE CXone. Genesys Cloud CX ranked highest because its analytics filters align with Genesys routing outcomes and its QA scoring workflows are built to connect evidence into action rather than stopping at reporting.
Frequently Asked Questions About call centre analytics software
How do Genesys Cloud CX and NICE CXone connect interaction analytics to quality assurance workflows?
Which tools map transcription results into QA scorecards that reviewers can audit?
How does Talkdesk’s conversation search differ from CallMiner’s evaluation workflow for coaching teams?
Which platform provides stronger admin controls for multi-team deployments with RBAC and audit visibility?
When integration breaks, what data pipelines tend to fail in call centre analytics deployments?
What breaks if a contact centre needs deep extensibility beyond standard connectors and dashboards?
How do Uniphore and Cresta handle compliance-oriented classification versus customer conversation drivers?
Which tools support API-driven integration for wiring analytics into downstream dashboards and operational tools?
How should teams get started with data migration and schema alignment for interaction analytics and QA evidence?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Communication MediaTop 10 Best Contact Centre Management Software of 2026
- Communication MediaTop 10 Best Web Based Call Center Software of 2026
- Data Science AnalyticsTop 10 Best Financial Analytics Software of 2026
- Marketing AdvertisingTop 10 Best Sales Call Analysis Software of 2026
- Communication MediaTop 10 Best Contact Center Analytics Software of 2026
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