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Key metrics
10x
growth in RSVP service usage, from 2,000 to 25,000+ daily visits
+
Developed new optimization methodology for feature launches
+
Company-wide adoption of analytics and data-driven decision making
The company
Greetings Island is a global platform that makes it easy for anyone to create and share invitations and greeting cards. With a mission to help people celebrate life's moments, the company provides simple, intuitive tools, and a large collection of professionally designed templates that users can personalize and share in multiple ways, including print, download, or digitally with RSVP functionality.

The challenge
As Greetings Island grew, the company faced critical gaps in understanding their users' digital experience. They needed deeper visibility to make confident product decisions and optimize their platform effectively. Key pain points they faced were
No clear visibility into user behavior: the team couldn't see which features were creating friction, which were being ignored, or where monetization opportunities existed across the product journey
Decision-making based on assumptions, not data: without reliable behavioral insights, product decisions relied on guesswork rather than evidence, making it impossible to prioritize improvements with confidence
Limited ability to run and analyze experiments: their existing analytics tools made it difficult to test hypotheses and understand the full impact of changes across the customer journey
The company was relying on Google Analytics, which couldn't answer deeper behavioral questions about the user journey. Greetings Island needed a true product analytics solution that could provide end-to-end visibility into user behavior.

The main pain point we faced as a company was the lack of sufficient business intelligence (BI) data on how users actually interact with our product. Without this visibility, we were making product decisions based on assumptions instead of data, and we couldn't reliably identify pain points or optimize the user journey.

The solution
When Eilon Morgenstern joined Greetings Island as a product manager 4 years ago, he knew exactly which tool could solve their analytics challenges. Having used Contentsquare's Product Analytics powered by Heap at his previous company, he had seen firsthand how it could transform product decision-making.
Contentsquare’s Product Analytics provides the team with automatic data capture, retroactive analysis, and the ability to build comprehensive dashboards for every aspect of the product, from A/B tests to conversion funnels to error monitoring.
![[Visual] Page metrics > Product Analytics](http://images.ctfassets.net/gwbpo1m641r7/KJlFbIOKm6XBrOUky3XjO/248cb5a4f750bb47400856aa732cd0db/Product_Analytics_-_Conversion__2_.png?w=3840&q=100&fit=fill&fm=avif)
An example of tracking conversions within Contentsquare’s Product Analytics product
"I love this product from the first impression," says Eilon.
"In my previous company, every product manager could analyze whatever they wanted with it, we didn't need any product analysts."
For Greetings Island's lean team, where Eilon also serves as the product analyst and BI developer, this self-service capability was essential.

Here are 2 key ways Contentsquare’s Product Analytics powered by Heap generates real value for Greetings Island.
1. Optimizing the RSVP service through data-driven testing
One of Greetings Island's most successful optimization stories centers on their RSVP service. While the feature is not relevant to every single user, for those who need it—like someone planning a wedding—it provides tremendous value.
"There was a huge tradeoff between pushing the RSVP inside our editor and maybe creating a negative impact on the experience of those who don't need it, versus pushing it for those who are not aware of this service and can achieve great things by using it," explains Eilon.

Using Contentsquare's Product Analytics powered by Heap, the team created a methodical optimization approach. They built comprehensive dashboards to monitor every part of the RSVP experience, from the host's first interaction to how guests engage with the RSVP page.
"For each test, we actually created a full dashboard where we analyzed basically every part of the test," says Eilon.
The team ran more than 10 A/B tests over the course of a year, optimizing everything from CTA colors (green vs. gray) to modal suggestions, continuously refining the first touchpoint and the entire funnel. These optimizations led to an increase in user traffic over the course of a year.

"We moved and changed parts of the feature to make it more simple and easy to use," Eilon explains.
"We just optimized and optimized the entire funnel from the first touchpoint, 'add an RSVP', through to the end."
2. Launching and monitoring Greetings Island’s AI invite generator product
The methodology perfected with the RSVP service became a template for launching new features for the team.

When Greetings Island launched their AI invitation generator (Magic Invite), they applied the same data-driven approach.

"We launched the first version of Magic Invite, which was the minimum viable product (MVP) and started with a very basic A/B test to make sure we didn’t create a negative impact on the entire platform,” explains Eilon.
Using Contentsquare’s Product Analytics, the team monitored the feature’s impact, and then released the feature site-wide, running several A/B tests to optimize and improve it.
Contentsquare's AI, Sense, has also become valuable, particularly for team members who aren't building dashboards daily.

An example of asking simple questions and getting detailed, data-driven responses from Sense
"Sense replies to questions quite fast without needing a deep knowledge in the system," says Ehud.

Sense makes it possible for anyone on the team to get answers quickly. We want to empower more people to ask questions and make data-informed decisions within their areas.

The results
The impact of Contentsquare’s Product Analytics powered by Heap at Greetings Island extends far beyond these individual features. Contentsquare’s platform has transformed how the entire company makes decisions.
"One of the biggest changes is adoption of analytics company-wide, even by employees that aren’t tech-savvy or strongly connected to the numbers," says Ehud.
"For example, our art team is able to identify which events and themes are more popular, and focus the creation of designs according to that."
For the product team, the platform has turned guesswork into clarity. "In the past 6 years, I've managed and analyzed hundreds of A/B tests," says Eilon.
"Contentsquare’s Product Analytics powered by Heap enables me to build dashboards that monitor every aspect of a test with almost no effort, and it helps me reach accurate conclusions by taking the full funnel into account.
“I can answer almost any product question in seconds and share insights easily with the team."

Contentsquare’s Product Analytics turned product analytics from a bottleneck into a growth engine.

For the tech team, the platform helps them identify and monitor bugs, with dedicated dashboards for detecting issues in their mobile app. For marketing teams, the platform measures campaign and channel performance. Company wide, every team benefits from a single source of truth for product decisions.
Key results include:
10x increase in RSVP service engagement through systematic A/B testing and optimization
Company-wide adoption of analytics across art, marketing, tech, and product teams
Faster decision-making, with the ability to answer product questions in seconds instead of days
Continuous optimization methodology that can be applied to every new feature launch
With Contentsquare now a part of daily analysis, both Eliot and Ehud have been named Contentsquare’s ‘Quarterly Champions’ 4 quarters in a row. The program recognizes the top 250 most active users of the platform across the globe each quarter.
What's next
With a proven optimization methodology in place, Greetings Island is doubling down on data-driven product development. With Contentsquare’s Sense, the company is also expanding analytics adoption across teams, seeing opportunities to democratize data insights even further throughout the organization.

The investment was absolutely worthwhile. Contentsquare provides the behavioral analytics visibility we were missing and enables measurable improvements across conversion, engagement, and product quality.

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