Best Customer Intelligence Software

Answers which accounts are at risk and why, using weighted scorecards plus AI that reads emails, calls, tickets and meetings.

Gainsight builds the account view in two layers. Health Scorecards are weighted measures that an admin configures, and several scorecards can differ by lifecycle stage, segment or industry. On top of that, Staircase AI's Signal Scout watches current emails, calls, tickets and meetings and starts the Risk Analyst when it detects a churn risk event.

The Risk Analyst writes a Risk Synopsis on the account page: a plain-language summary, a risk level from 1 to 5, a trajectory and risk reasons, each with a severity and recommended actions, sorted into nine categories such as Product Issue, Value Perception or Competitive Pressure. The summary is generated when the risk is detected and refreshed about every eight hours while the risk stays active. A Playbook Creator proposes step-by-step playbooks with owners and timeframes from an Experience Library of past churn risk events, and a Stakeholders tab lists contacts with role, sentiment and outreach advice.

Both plans include AI Insights, Health Scorecards, Customer 360, Playbooks and Success Plans. Renewal and Expansion Forecasting, Organizational Mapping and Sponsor Tracking and Company News are Enterprise only. Essentials covers 10 full users and 100 customers per user, and Enterprise 20 full users and 200 customers per user.

Users like

centralized customer data, journey visibility, health scoring

Users dislike

a steep learning curve, non-intuitive navigation, limited customization

Source: G2, 1,747 reviews

Answers how healthy each account is, scored on the factors you pick and fed by sentiment from emails, chats and calls.

Planhat keeps usage, conversations, support, delivery and contract terms in one customer record. You build a health profile with typically 2 to 8 factors. Each factor adds or subtracts points from a neutral 5 on a 0 to 10 scale, using hard conditions or sliding scales. Criteria, weights and thresholds can differ by segment, portfolio and product line while every account still gets one comparable score, and you can preview how a change to a factor or weight moves the scores before you apply it.

The intelligence layer is conversational AI. It tags emails, chats and calls as positive, neutral or negative and by subject, such as support or billing, rolls the sentiment up to company, end user and user level, and can feed health scores, automations and reporting. Conversation Summary condenses long threads. Automations include a Use AI step that runs on Planhat's managed models or on your own connection to Anthropic, OpenAI, Azure OpenAI or Gemini.

Planhat reads product analytics from Pendo, Mixpanel, Segment and Amplitude, CRM data from Salesforce, HubSpot and Pipedrive, support data from Zendesk, Freshdesk, Help Scout, Intercom and Jira, and call recorders such as Gong. Public documentation states the direction for only a few connections.

Users like

a clean interface, a flexible data model, responsive support

Users dislike

a steep learning curve, tricky integrations, occasional performance issues

Source: G2, 926 reviews

Answers what customers are saying on calls and in email, and which accounts show ghosting, stakeholder changes or stalled renewals.

Gong captures customer calls, emails and demos and analyzes them with AI. Its customer success page names the churn-risk signals it looks for: customer sentiment, ghosting, stakeholder changes, follow-up gaps, stalled renewals, recurring product issues and adoption or value gaps. Smart trackers follow a topic, such as a product issue, across conversations, and an insights dashboard shows how it trends. A single account view collects past conversations, key moments and next steps, which makes it useful for the handover from sales to the CSM.

The handoff matters most here. Gong lists integrations with Gainsight, ChurnZero and Salesforce. The Gainsight integration is one way, from Gong to Gainsight, and puts call logs and AI notes on Gainsight Timelines. It requires Gainsight NXT. Public documentation does not describe the scoring method or the alert mechanics.

Licenses are priced per user, with a platform fee based on the number of users supported. No amounts, currency or tiers are published, and the pricing page says you can connect your existing stack for free.

Users like

a smooth interface, good fit with existing tools and AI call analysis

Users dislike

cost on annual contracts, onboarding time and AI summaries that sometimes misread details

Source: G2, 6,434 reviews

Answers why NPS and CSAT are moving, by ranking the themes in survey answers, reviews, chats and calls.

Chattermill pulls feedback from surveys, review sites, support chats and calls into one data layer and adds context such as customer ID and channel to each comment. A taxonomy classifies every piece of feedback, and its Lyra AI model combines aspect-based sentiment analysis, supervised learning and large language models to tag themes and sentiment. Precision Insights rank issues by volume with the customer quotes behind them, and Impact Analysis shows which themes lift or drag metrics such as NPS and CSAT.

Anomaly Detection and Proactive Insights watch in the background and flag spikes or new issues. Alerts can go to Slack, email or Jira, and the Lyra Agent answers questions such as why NPS shifted. Chattermill imports from Zendesk, Intercom, Salesforce, Gong and Snowflake.

Public documentation does not describe account-level or B2B roll-ups, so it answers why scores move across your customer base better than it answers how one account is doing. The pricing page offers only a demo.

Users like

ease of use and grouping large volumes of feedback

Users dislike

an interface some reviewers call not intuitive, and reliance on the tech team

Source: G2, 238 reviews

Answers which feedback themes hit which accounts and how much revenue sits behind them.

Enterpret pulls feedback from support tickets, reviews, calls, surveys and social channels into a Knowledge Graph. Cross-source entity resolution merges the same user and account across sources into one identity, and you model your own entities, such as accounts, opportunities and personas, so each comment links to them without manual tagging. An adaptive taxonomy classifies feedback into five levels, from L1 down to sub-theme, plus intent categories: help, improvement, complaint and praise.

Quantify and Trends filter feedback by revenue, CSAT, NPS or region and rank themes by business impact, and Anomaly Detection flags activity above baseline. Agents investigate spikes and escalation risk. Linear issues can be created from feedback, Slack carries digests and questions, and an export API delivers hourly CSV links. Named inputs include Zendesk, Intercom, Salesforce and Gong.

No price is published. Public documentation does not say whether it writes into Gainsight or ChurnZero.

Users like

aggregating insight from support tickets and in-app surveys, and responsive support

Users dislike

inconsistent AI insights, a learning curve and export limits

Source: G2, 110 reviews

Answers which customers gave a low score and who is following up, across surveys, calls and chat.

Qualtrics CustomerXM stitches surveys, calls, chats, email and digital behavior into customer profiles in XM Directory. Contact Center Experience Analytics analyzes conversations, and the vendor says it can monitor 100 percent of contact center conversations. The part that matters for a customer success team is Active Follow-ups: you set a threshold on CSAT, an engagement score or NPS, and a breach creates a ticket for the owner.

The vendor markets predictive churn models and a Revenue Signals dashboard, and public documentation does not explain how either works. The Salesforce link is two way: response data maps to Salesforce records, Salesforce fields can be pulled into Qualtrics, and the Salesforce extension needs a license that includes it.

A Qualtrics Community thread says contacts in XM Directory have no native account relationship field, with an account ID on every contact row as an unofficial workaround. If your insight has to be per account, ask for a demo of exactly that.

Users like

analytics, ease of use and a robust feature set

Users dislike

complexity for basic needs and sentiment analysis missing from basic licenses

Source: G2, 751 reviews

Answers which accounts use which features, and which accounts look at risk or ready to expand.

Pendo collects usage retroactively from your app and groups it by visitor and by account. Account Reports hold usage columns, such as active visitors, that you can push to Salesforce. That push runs once every 24 hours between midnight and 6 AM in the subscription time zone, and the time cannot be changed. The pull on the same cycle brings Salesforce attributes into Pendo for segments and guide targeting. Segments serve analysis and in-app guides, so the team that finds low-adoption accounts can guide them in the same tool.

For Gainsight, Pendo's guide routes data through the Salesforce Account object: Pendo writes Pendo_ prefixed fields and a Gainsight Load to Usage rule reads them. Predict is a separate add-on that scores accounts as at risk or expansion ready from CRM and usage data, with Slack alerts and results shown in Salesforce. Leo answers account questions in plain English, such as which accounts have dropped off recently.

The free plan covers up to 500 monthly active users. Base, Core, Ultimate and Predict are quote only, and the plan that includes the Salesforce sync is not stated.

Users like

analytics and in-app guidance working together, and responsive support

Users dislike

a steep learning curve, time-consuming setup and cost as usage grows

Source: G2, 1,825 reviews

Answers which accounts are active, retained and adopting a feature, counted per company instead of per user.

Amplitude measures usage as events. Engineers send events with its SDKs and assign users to group types such as account. With the Accounts add-on, groups appear in the segmentation module and most chart types count distinct accounts instead of users. A project can hold up to five group types and up to 1,000 account-level properties, such as plan type or renewal date. Dynamic properties turn a saved chart, for example last 7 day active users, into an account property.

Amplitude can import Salesforce fields as group properties, and behavioral cohorts can be built at the account level and synced to destinations one time, hourly or daily. Real-time cohort sync is an add-on, and HubSpot and Salesforce Marketing Cloud are excluded from it. Amplitude ships no health score or playbooks, so the account-level view needs a customer success platform or CRM to act on it. Public documentation does not confirm connections to Gainsight, Vitally or ChurnZero.

The free plan includes up to 2 million events a month. Group analytics are not on Free. Growth and Enterprise are quote only.

Users like

Clear behavior insights and an intuitive interface

Users dislike

Steep learning curve, missing features, event cost and management

Source: G2, 3,045 reviews