Stratifyd Benefits and Insights

Why use Stratifyd?

Key differentiators & advantages of Stratifyd

Focus On Customer Sentiment: Go beyond traditional surveys and leverage NLU to truly listen to customers — using analysis of real-time data from customer calls, chats and feedback — irrespective of their language. Identify customer attitude, energy levels, eagerness, enthusiasm and a range of emotions.
Consolidate Customer Data: Eliminate data silos and gain a complete understanding of the customer journey — including customer attributes, feedback, behavioral and operational data — from disparate channels such as social media, chats, calls, reviews and more.
Uncover Deeper Insights: Harness AI to drill into the insights that matter and identify hidden patterns and anomalies. Filter customer data to view customer experience through diverse lenses like demographics, regions, emotions, and more. Understand digital customer behavior, like how customers browse, click, order, and bill.
Make Proactive Decisions: Take proactive steps faster thanks to predictive, actionable insights like emerging customer issues, high-impact opportunities and turnover risks.
Easy to Use: Provides a simplified interface to easily navigate, filter and analyze data. It provides intuitive no-code modules for the non-tech-savvy.
Save Time: Gain and deliver real-time insights faster and save hours spent on manually interpreting feedback. Save analyst time with predefined models, harness no-code AI to find the best-suited modules and customize them in clicks before sharing across the organization in seconds.
Improve Customer Experience: Prioritize and act on real-time customer experience metrics across numerous sources and deliver in seconds. Drive loyalty by identifying and addressing pain points, patterns, anomalies, complaints and customer sentiment. Route complaints automatically to concerned personnel. Obtain personalized insights into individual customer experiences.
Increase Customer Retention: Utilize AI-driven modules to pinpoint customer turnover causes, churn risks and NPS scores from disparate channels and then act on them with recovery intervention protocols and timely alerts. Prevent attrition by tracking drops in customer sentiment and emerging topics in real time.
Stay Competitive: Track performance, surface gaps in service and emerging trends. Stay one step ahead by tracking customer experience, conversations, pricing and seller discount across competitive landscapes to discover themes, sentiments and insights regarding competitors.
Enhance Employee Performance: Track employee sentiments and KPIs to make structured improvement plans. Identify root causes of performance issues and train accordingly.

Industry Expertise

Although it serves all customer-facing businesses, it provides specialized offerings for those in Voice of the Customer (VoC), financial, product or digital services, contact centers and the pharmaceuticals industries.

Key Features

Natural Language Analytics: Analyze unstructured language data with Natural Language Understanding (NLU) models to surface instantaneous insights. Discover recurring topics, trends, buzzwords and customer attitudes.
- Speech and Sentiment Analytics: Leverage speech transcription and NLU to track calls and analyze productivity metrics. Uncover speech pace, over- and under-talking, silence, enthusiasm, activity level or undesirable phrases. Utilize and customize its sentiment library to perform neural sentiment analysis and uncover emotion metrics.
- Multilingual Analytics: Analyze speech and text data from 27 preset languages, with more possible by using over 100 translation integrations.
Predictive Analytics: Build and train predictive machine learning (ML) models to make data-driven forecasts. Predict emerging trends, anomalies, risks and more.
Data Connectors: Provides over 100 one-click integrations to connect to customer data from numerous public and third-party sources like Google Analytics, Salesforce, MongoDB, Hadoop, Facebook, Twitter, Mailchimp, Indeed and Slack. Also provides an API to create personalized integrations.
Data Blending: Pull and combine data from structured, semistructured and unstructured sources to produce comprehensive insights.
Data Visualization: Provides an intuitive interface to visualize real-time insights using prebuilt or third-party visualization modules.
Drill Down: Drill down into specific points of data and discover deeper insights with AI.

Limitations

At the time of this review, these are the limitations according to user feedback:

Taxonomies take a while to set up.
Moderate to high learning curve for non-technical users.
Can’t integrate sentiment analysis directly into workflows.

Suite Support

Email: Not specified.

Phone: Not specified.

Training: Not specified.

Tickets: Customers can access support by interacting with a chatbot located at the bottom-right of the vendor website. Type “How to access support” and leave an email address when prompted.

Pricing & Cost Details

Includes Price/User and Minimum Commitment Terms for Stratifyd

Stratifyd Reviews & Pricing

What is Stratifyd?

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