Fixing data issues downstream is exponentially more expensive

A high-quality implementation to collect high-quality data costs more than a low-quality one, but dealing with low-quality data incurs even more costs downstream.

You have probably heard of “garbage in, garbage out” (or GIGO), which further contributes to the problem: The further downstream you move, the less likely it gets that you can actually fix your data.

That’s why our platform includes:

• Data models optimized for data science use cases
• Schema enforcement and data contracts
• Constant adjustments to evolving environments
• Event data based on best practices from a decade of experience

You need to measure everything to answer the why, not just the what

You can’t manage what you don’t measure. And if you don’t measure enough, a lot of questions remain unanswered making it difficult to provide actionable insights.

You may have been given this advice before: Focus on a few important data points and make sure that data is accurate and reliable. We strongly disagree with this limiting approach.

Transactional data answers the what, event data answers the why. So to answer the why, you need a complete picture of what happened, as anything can affect a user’s behavior.

Our Data as a Service aims to cover everything. And if something is missing and technically possible, we add it.

Enabling all your use cases that require quality event data

• Machine learning and artificial intelligence
• Marketing spend allocation / ROI optimization
• User journey and user behavior analytics
• Product analytics / user experience analytics
• Dashboards and reports, e.g. for management
• One 360 degree view on the customer or user
• Ecommerce analytics, e.g. checkout funnels
• Conversion rate optimization (CRO)
• Churn reduction
• Customer activation
• Dynamic pricing
• a/b/n testing and personalization

Got a use case that isn’t listed here? Please let us know.

Stop worrying about data collection and quality: We’ve got it covered

We focus 100% on collecting the best data possible and covering as much of the user journey as possible. Unlike agencies, we don’t analyze the data, and unlike analytics vendors, we don’t store any data and use it.

Our sole focus is the data and its quality, so we constantly adjust your implementation to technological changes, and integrate the data from various sources:

• Websites, SPAs, PWAs, etc.
• iOS, Android, smart device apps
• Ads, online & offline user journey
• CRMs, emails, SMS, chats, calls, etc.

Spend less time on tedious data tasks and focus on creating value through your use cases.

Your data and its quality are constantly monitored

We have been collecting high-quality event data for over a decade. Our DaaS platform incorporates everything we have learned along the way to ensure your data is accurate. These are just some of the features:

• Data schema validation
• Data schema monitoring and alerting
• Data transformations and customizations
• Ability to apply custom business logic to the data
• User identity resolution
• PII pseudonymization and anonymization

Our platform covers the entire data creation process.

A new and modern approach to collecting and using event data: Single Source of Truth by design

From a data architecture perspective, analytics tools, data stacks, and marketing technologies are all just data pipelines that consist of the same components:

• Creating / collecting data
• Processing data
• Storing data
• Using data / creating value

Instead of having all these solutions create redundant, usually inconsistent, and often low-quality data, it’s better to create data only once and focus on its quality.

With our DaaS, you can stream the same data into different MarTech tools, analytics solutions, and data pipelines to ensure overall consistency and remove redundancies.

One tool-agnostic, future-proof, and cost-effective implementation for everything

Our implementation is the last one you’ll ever need, and you don’t have to lift a finger. We’ll replace all your current legacy implementations and data collectors with just one.

Free your websites and apps from legacy code slowing them down (maybe even breaking them) to make a lot of people very happy:

• Your users and customers
• Your UX / site reliability team
• Your security and compliance team

The data we collect for you can be used with all kinds of marketing technologies and data stacks.

Data optimized for data science, machine learning, and AI

The data we produce for you is suitable for rather basic data use cases, but supports advanced use cases as well.

Because our DaaS is one single data stream, we put a lot of effort to assure its general compatibility and versatility.

Our data is optimized for programmatic consumption first, so any data point that can exist on its own is kept separate, for example.

You can use the transformation features of our DaaS platform to adjust the data to your needs, e.g. localizing, modeling for specific use cases, or preparing for specific analysis.

Obsession for quality and more than a decade of experience

Hey there, my name is Ian and I am the founder of Cape.ly.

For over a decade now, I have architected analytics implementations and debugged them at the network and source code level to deliver the best event data possible.

My work with medium-sized to large companies in North America and Europe has provided me with a wealth of experience and a unique combination of traits:

• Stereotypical German obsession for quality
• Stereotypical Canadian kindness
• Company in the business and data hub New York City

I believe very few have as deep an understanding of all the client-side and server-side technological details that affect data quality and reliability as I and other team members do.

You can find more information about past projects on my profiles on Cape.ly and LinkedIn, or on my personal website.