AI Conversation Intelligence
Ask Your Conversation Data Anything. Get Answers Instantly.
The Semantic Query Engine analyzes 100% of your conversations and lets you ask questions in plain English. No dashboards to navigate. No reports to wait for. Just answers.
Of conversations analyzed automatically
Natural language query to answer
Dashboards to navigate or reports to build
The Problem
Dashboards don't answer questions. People do. Slowly.
Legacy analytics platforms give you dashboards full of charts and filters. But when a business owner wants to know “what percentage of calls in Texas mentioned price objections this week,” they have to navigate tabs, apply filters, export data, or ask an analyst and wait.
Most contact center managers review less than 2% of calls. The other 98% disappear into a black box. There is no systematic way to identify what top performers do differently, which objections kill deals, or which talk tracks actually convert.
Plura replaces all of that with a single question. Here is how.
Example Query
“What is the agent hand off rate for outbound calls to Florida home services leads this week vs last week where customers requested a human agent?”
Five dimensions. One question. Answered in seconds.
Parsing Query
Resolving against 312 agent conversations
Result
This Week
18%hand off rate
Last Week
24%hand off rate
Week Over Week
-25%
The Core
The Semantic Query Engine
Ask any question about your conversations in plain English. The AI parses your query into structured dimensions and returns an instant, precise answer.
Natural language input
Type a question like you would ask a colleague. "Show me call answer rate by hour for the last 7 days of Texas campaigns and what % mentioned price objections." The engine understands it.
Semantic parsing
The AI breaks your question into structured dimensions: metric, timeframe, segment, signal, and topic. It maps synonyms, resolves campaign scopes, and normalizes your intent automatically.
Instant answers
Results come back in seconds, not hours. Precise numbers, percentages, and trends pulled directly from 100% of your conversation data. No sampling, no estimation.
Continuous analysis
Every conversation is transcribed, scored, and indexed in real time. Sentiment shifts, conversion signals, and compliance flags are detected automatically across every channel.
What You Can Ask
Any question. Any dimension. Any timeframe.
The Semantic Query Engine handles metrics, timeframes, segments, signals, and topics in any combination. Here are the kinds of insights it surfaces.
Conversion Analysis
“What is my conversion rate for inbound calls this week vs last week?” Instant comparison across any time period, campaign, or team.
Topic Detection
“What % of calls mentioned price objections in the last 30 days?” Surface the exact topics, objections, and signals that appear in your conversations.
Agent Performance
“Which agents have the highest close rate on insurance leads?” Compare agents against each other and against team averages on any metric.
Operational Metrics
“Show me average handle time by hour for the last 7 days.” Handle time, answer rate, talk ratio, hold time, and transfer rate across any dimension.
Sentiment Trends
“Show me sentiment trends for calls where competitors were mentioned.” Track how customer sentiment shifts across campaigns, agents, and time periods.
How It Works
From natural language to structured intelligence
The engine deconstructs every query into five dimensions, maps synonyms to your data schema, and resolves the answer from your complete conversation history.
Query Dimensions
Every question parsed automatically
Natural Language Input
You type a question in plain English. No query language, no filters, no report builder. Just the question you want answered.
Semantic Parsing
The engine identifies the metric, timeframe, segment, signal, and topic from your question. It maps synonyms to your data schema automatically.
Data Resolution
Your question is resolved against 100% of indexed conversations. Not a sample. Not an estimate. The actual data from every call and message.
Instant Answer
Results returned in seconds with precise numbers, percentages, trends, and contextual breakdowns. Ask follow up questions to drill deeper.
“Show me the conversion rate for inbound calls from California insurance leads
over the last 30 days where customers asked about premium pricing.”
Five dimensions. One question. Answered in seconds from 100% of your conversation data.
Close the Loop
Insights that flow back into your workflow
CRM Sync
Conversation scores, sentiment data, and topic flags write back to Salesforce, HubSpot, and Zoho automatically. Every CRM record enriched with conversation context.
Workflow Builder Integration
Conversation intelligence feeds directly into Plura workflows. Trigger automated follow ups, escalations, or routing based on real time conversation signals.
Lead Intelligence Enrichment
Post conversation data combines with pre call enrichment to build a complete picture of every lead. What you knew before the call plus what you learned during it.
Export and Reporting
Full data export to any BI tool. API access for custom integrations. Scheduled reports delivered to stakeholders automatically.
Ask your first question. See what your data already knows.
Get a personalized walkthrough of the Semantic Query Engine with your own conversation data.
The Difference
What separates Plura from legacy analytics
01
Plura connects post conversation analytics with pre call lead enrichment in a single platform.
Other analytics tools operate in isolation with no context about the lead before the call happened.
02
Plura analyzes every conversation automatically. Not a 2% sample. Every call, every message, every channel.
Most platforms rely on manual QA reviews covering less than 2% of calls. The rest is a black box.
03
Plura lets you ask questions in plain English and get instant answers from 100% of your conversation data.
Legacy platforms give you dashboards with charts and filters. You still have to figure out what the data means.