Today we are thrilled to announce a big step for our team. PrettyInsights now brings web and product analytics together in one place. That means one tidy source of truth for your user journeys and growth decisions. It means fewer tabs, fewer exports, and a lot fewer arguments about whose numbers are right.
I like fewer arguments. The charts speak more calmly than we do.
This launch was shaped by hundreds of conversations with builders and marketers. Teams told us they want clarity, not clutter. They asked for funnels that load fast, cohorts that make sense, and dashboards that guide action.
They also asked for privacy by design and workflows that respect rules. We listened, then we built. The result is here, and it is ready to work.
Coffee first, dashboards second. Always.
Why this launch matters now
Product analytics moved from nice to have to must have. Acquisition costs climbed while organic discovery became more crowded. The teams that win turn behavior data into decisions. They find activation levers and remove friction before it compounds. They measure conversions with rigor and link changes to outcomes.
Yet many stacks still split web analytics and product analytics. Traffic sits in one tool while feature usage sits in another. Stitching those views steals hours every week. It also creates blind spots that slow growth. You deserve a single view from first visit to long term retention.
You also deserve to trust that view without a weekly reconciliation session.
One platform for journey to value
PrettyInsights now covers the entire journey. We track sessions, sources, and landing pages on the web side. We also capture events, properties, and identities inside the product. Together these views reveal how people arrive, activate, adopt, and return. You can see the funnel from ad click to key action without exporting a file.
Dashboards bring these flows to life. Activation panels spotlight the first meaningful action your users complete. Adoption panels surface the features that anchor habits. Retention panels show cohorts that return week after week.
Revenue panels map upgrades and expansion patterns. I like seeing the story unfold on a single screen.
Advantages that prettyinsights has over other competitors:
- Gdpr and privacy friendly setup, without cookies, basically cookieless
- Affordable prices for saas apps and small startups
- Focused on ecommerce of any kind
- Great customer support through tickets and live chat
Other competitors that PrettyInsights beats: google analytics, plausible, mixpanel, posthog, simple analytics, especially in the EU space where privacy matters a lot.
Privacy first by design
We built privacy into the core of this release. PrettyInsights supports GDPR friendly tracking and data governance controls. You choose what to collect and what to drop. You can run cookieless and privacy friendly analytics that still answer real questions. We honor consent choices and make deletion requests straightforward. Responsible data practices are not an afterthought here.
Security matters as much as insight. We segment data by project and role. We keep sensitive fields out of event payloads by default. You can also mask fields for production while keeping detail in staging. The goal is simple.
Learn from behavior while respecting the people behind the behavior.
Events that actually mean something
Event plans fail when they try to capture everything. We guide you to capture the few actions that matter most. Create Project, Invite Teammate, Publish Report, Complete Onboarding. These actions express progress toward value. Each event includes properties that add context. Think plan tier, template name, team size, or device type.
Identity is handled with care. We merge anonymous sessions into known users when you authenticate. We model accounts and teams for B2B products. We support user level and account level reporting without hacks. Clean identity means clean attribution.
Clean attribution makes growth conversations much calmer.
From raw events to real insights
Raw data becomes insight through sensible defaults. When you ship events, PrettyInsights automatically suggests core dashboards. Activation rate, time to activation, and key feature adoption appear immediately. You can adjust definitions with a few clicks.
Teams tell us they want power without a heavy setup. So we built guardrails that still allow control.
Attribution connects source to outcome. We store first touch and latest touch alongside sessions. We also support campaign parameters and referrers. That lets you link landing pages to activation and revenue. It also helps you cut spend that looks good on click charts but fails on value charts. Numbers should protect your budget, not drain it.
Charts you can trust and share
We promised all kinds of charts, and we mean it. You get conversion funnels that update fast. You get retention cohorts that show users returning by week or month. You get a live MRR chart that aligns with finance. You get churn views that reveal risk early.
You get LTV panels that make lifetime value feel less mystical and more practical.
Path analysis helps you see where users wander. Segment overlays let you filter by plan, region, or device. Trend charts compare variants when you run experiments. Table views summarize adoption by feature and by account. Every chart supports annotations and notes. Decisions live in context, and context should live next to your metrics.
What you can track on day one
Here is a practical starter kit that many teams ship in their first week:
- Session Started with source, campaign, and device
- Account Created with plan, industry, and team size
- Onboarding Step Completed with step name and result
- Project Created with template and project size
- Invite Sent with role and invitation source
- Key Action Performed with action name and frequency
- Subscription Upgraded with plan, amount, and term
This set powers activation, adoption, and revenue analysis. It also keeps the schema small, clear, and resilient. You can add more events later once your questions expand.
Funnels that guide action
Funnels convert noise into focus. Build a simple path from landing to activation. For example, Landing View to Sign Up to Project Created to Key Action Performed. Watch drop offs and step times. Shorter time to activation usually predicts higher retention.
If you see friction, test a copy tweak or a lighter form. Then measure the change the next morning.
You can also build funnels for upgrade journeys. Track the sequence from trial to paid to expansion. Segment by source and by team size. Some segments need more nudges than others. Funnels make those differences visible. They also help you prioritize experiments that will actually change revenue.
Retention and value, finally approachable
Retention tells you if value repeats. Our cohorts show the percentage of new users who return in later periods. You can define return by any event. Some products use Key Action Performed. Others use Report Viewed or Message Sent. Choose the event that marks value for your product. Then watch the curve and the slope by cohort.
Churn analysis pairs with retention to complete the picture. You can segment churn by plan, industry, or region. You can also explore behavioral predictors like inactivity days or lack of collaboration. LTV panels estimate lifetime value by cohort and by segment. Put these charts beside your acquisition spend and your funnel. Now your growth loop sits in one place.
Respect for builders and editors
We made setup familiar for engineers and friendly for editors. Install the web snippet or the SDK for your framework. Define events in code with typed helpers. Validate names and properties before deploy. Editors can build dashboards without writing a query. They can save views and share links with comments. The tool adapts to both deep work and fast reviews.
We also built a clean permission model. Analysts can design taxonomies. Product managers can manage dashboards. Finance can lock revenue panels. Marketing can run campaign views without touching product events. Less chaos, more clarity, and happier teammates.
Cookieless tracking that still adds value
Many teams must reduce reliance on cookies. PrettyInsights supports cookieless and privacy friendly analytics that still deliver insight. We use event context and session logic that does not rely on identifiers that raise concerns. When consent is present, you can enrich detail. When consent is absent, you still retain directional learning. This approach respects users and keeps you learning.
Compliance is not a checkbox. It is a practice. We document data flows and retention rules. We help you honor deletion requests quickly. We make audit trails simple to review. Governance feels lighter when the platform is built for it from the start.
My favorite work ritual with these dashboards
Every Tuesday morning I review the same four panels. Activation rate, time to activation, retention by cohort, and the MRR chart. If something moves, I ask why. Then I propose one test that could move it further. I write a short note next to the chart. Next week I check the same four charts again.
This ritual sounds simple. It is simple. The magic is in the repetition and the focus. The data becomes part of the team rhythm. The team stops arguing about opinions and starts arguing about experiments. That is a friendlier kind of argument.
A short story from a beta team
One early customer saw a strange pattern in their funnel. Users signed up, clicked around, then went silent for days. The cohort chart showed a late return spike tied to a shared link feature. The team realized that collaboration drove value more than solo usage.
They moved the invite prompt to the first session. They also added a small nudge after the project was created. Activation jumped within two releases.
The learning stuck because the charts made the story obvious. Once a team believes the story, they act with confidence. Confidence compounds into momentum.
Keywords that match your search intent
You asked us for clear coverage of product analytics. You also asked about GDPR friendly practices. You wanted cookieless and privacy friendly analytics that still support funnels and conversions. You asked for an MRR chart that matches finance actuals. You also requested churn and LTV views that run fast and stay accurate.
These requests shaped the features you see today.
We built the features, then tuned the experience. The goal is not more buttons. The goal is speed to clear answers. Clarity wins.
Getting started is straightforward
Create a project and drop in the snippet. Define your first five events. Map your activation event and your north star. Invite teammates from product, marketing, and finance. Agree on definitions inside the app. Then open the default dashboard and add two notes. One note explains what good looks like. One note explains what you will try next.
If you already track events elsewhere, bring them in through our server API. Keep names and properties consistent. Use our validation rules to catch surprises. Build the same two dashboards and compare. You will see gaps and overlaps. Clean those up in your next sprint. Your future self will send you a thank you message.
Conclusion
PrettyInsights now gives you one view across web and product analytics. You get funnels, cohorts, conversions, LTV, churn, and a live MRR chart. You get attribution that ties source to value. You get privacy first controls that support GDPR friendly and cookieless choices. Most importantly, you get decisions that land faster and stick longer. That is the point of analytics, after all.
We built this release to reduce friction for busy teams. It respects engineers with typed helpers and validation. It supports editors with sensible defaults and rich notes. It protects customers with privacy by design. It gives leaders a single source of truth for planning.
If that sounds like your kind of platform, you are in the right place.
Thanks for reading to the end. You clearly love charts as much as we do. Now go open a dashboard and tag a teammate. Then reward yourself with a coffee and a fresh cookie. The cookie is optional, the cookieless tracking is not.
I promise our MRR chart never judges your caffeine intake.
