New! What's your  Discover how ShiftX implement their PLG growth strategy.

Drive product-led growth

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Identify signups that are most likely to buy, to expand, or to churn; and engage with them through personalized sales and CS playbooks. At scale.
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Turn product data into revenue growth

Stop crunching data scattered across various sources, searching for revenue potential and churn risks.

Collect product, customer and subscription data into and leverage machine learning to automatically trigger engagement signals on high-potential and high-risk accounts.

Turn product data into signals

Uncover signups worth engaging with

See what accounts and users are doing on your platform, in real-time, and get product qualification scores and signals, showing you who best to engage with, and why. journey

Run account-based user playbooks

Trigger playbook automations on specific users from most/least promising accounts to reach aspired conversion, expansion and retention goals. Optimize these plays over time.

Integrated with the tools you already use

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Orchestrate engagement processes with 3rd party apps, using live always-sync'ed real-time product data. creates sales tasks in your CRM, triggers in-app onboarding sequences, or sends notifications on Slack.

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Jarand F. Millett
Tech Lead offers a clear view on what people do on our platform, and which sales and CS activities make impact. And with stage views, signals, scores and engagement playbooks, we've got exactly the features we need to implement our PLG strategy.

One inbox for all customer cases

Collaborate with multiple teams on accounts that require supervised outreach, face-to-face onboarding, or other manual interventions.


All customer data, in one place

Monitor how signups and paying customers progress along their journey. Get context with KPIs and data from across your entire stack.

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Discover what makes customers engage

Discover product usage patterns

Get a deep understanding on common datapoints and key usage patterns that most impact trial-to-paying conversion, expansion and actual net revenue growth.

All of the data.
None of the SQL.

Integrate seamlessly and access data from your entire stack. All on one platform. All point'n'click. No SQL required.

Check out our integrations

Built for B2B & B2C SaaS, simultaneously

Changing the way you do business, case by case.


Detect which signups are most likely to buy. Sell more with less effort.

Automatically surface product qualified leads.

Prioritize PQLs call lists and engage with quick actions.

Add tasks and full PQL context to existing CRM and other engagement tools.

Automated sales playbooks and collaborative inbox.


Onboard. Monitor. Get expansion signals. Reduce churn, proactively.

Automatically detect churn & expansion candidates.

Accelerate onboarding and product adoption.

Align activities around 360° customer view, with health and onboarding scores.

Automated CS playbooks and collaborative inbox.


Build revenue workflows, based on how people use your product.

Use machine learning to uncover new sales opps.

Add slow accounts to nurturing campaigns.

Optimize engagement playbooks for maximum conversion.

Leverage any data without needing engineering.


See which impact each product feature has on your revenue and churn.

Analyse feature importance, usage and impact.

Build key product metrics without SQL, nor coding.

Easily create customer segments based on any product interaction.

Comply to GDPR and CCPA.

Check out our use cases
Build revenue playbooks based on how people use your product
Stop crunching CRM records and data sheets once a month, to find risks and opportunities. Organise your workflows around real-time PQL signals, playbook actions, and customer data from across your stack.

Work in the tools you already know and use
Give easy access to product data
PQL intelligence and actions, the moment it happens
All point'n'click, no SQL or coding needed
Check out our use cases
Share Customer Data
Detect which leads are hot. Sell more with less effort.
Stop wasting time on unqualified leads. Look out for promising product qualified leads that trigger specific buying signals, and make more meaningful calls, knowing which features they're interested in.

Get prioritized call lists, sorted by likelihood-to-buy
See unified view of each account and their users
Get cases with follow up tasks in your team inbox
Get tasks and product data in your existing CRM
Check out our use cases
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Easily test new PLG strategies and improve conversions
Try out new PQL conditions, assign different engagement variations, and monitor how conversions progress over time.

See which features are most frequently used
Quickly test new PQL conditions and actions
Prove which engagement playbooks work best
All point and click, no code required
Check out our use cases
PQL Experiments
Onboard. Monitor product usage. Reduce churn, proactively.
Keep track of each individual user and account at scale, and get notified on expansion and cross-selling opportunities. Identify those who are at risk of churning, and pro-actively reach out to them.

Get notified on churn risk and expansion opportunities
Get cases with follow up tasks in your team inbox
See all account and user activities in one place
Collaborate with sales and marketing thru quick actions
Check out our use cases customer success use case
Convert more through hyper-personal automations
Target the right audience at the right time with the right message. Your existing automations get power-boosted with customer engagement metrics.

Automatically add PQLs to engagement automations
Get product usage data in your existing marketing tools
Lower customer acquisition costs
Check out our use cases marketing use case

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