Feature Highlights

Property Analytics: Discovering your customer commonalities

Hans Ott
Hans Ott
September 20, 2022
Property Analytics: Discovering your customer commonalities

Growth teams at SaaS companies need clear insights on who their customers are, and how they differ with e.g. those who didn’t convert. As such, by analysing data from across an entire stack, from CRM, Sales Engagement, Marketing Automation, Chat, Support Ticketing and other engagement platforms —combined 🙌— they are able to easily determine trends in customer segmentations and aggregations.

This gets particularly important when driving a product-led growth strategy, where comparing new signups with existing customers is key. Yet even in traditional sales-led environments, being able to confirm your ideal customer profile (ICP) assumptions with a simple click... feels like magic.

And where previously, this would have required expensive and data-engineering-heavy BI tools to be deployed, journy.io offers this out-of-the box at any subscription level. Simply connect all your apps, create a segment of accounts that e.g. converted the last 30 days, and see commonalities in cross-ecosystem properties for those accounts.

The importance of property analytics in a PLG motion

Product-led growth resolves around signals that allow to identify product qualified leads (PQLs) for acquisition, expansion and retention (fight churn). One of the key ingredients to automatically identifying such PQLs is a scoring algoritme named customer fit score. Or how well — within specific segments— do new signups resemble previously converted customers, by industry, by funding, or by basically anything a machine typically can learn. But more about our ML-engine later — I’m not yet supposed to talk about it 😉.

We thought that at least it would provide PLG growth engineers some great guidance in (for-now-still-) manually setting up PLG signals.

Keep reading...

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 your product features have on revenue, expansion 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
health score
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
journy.io 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
journy.io marketing use case

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