In online sales: Power all your various tools from one high-quality data source you can trust

Based on a decade of experience, we understand your needs:

  • Accurate event data, ideally with guaranteed quality
  • Data shared across all different MarTech tools
  • Coverage of as many sales signals as possible

Our product is built on the belief that online sales should be able to focus on sales and not have to worry about the underlying data. We provide analytics / clickstream / event data like SaaS. With our Data as a Service (DaaS), everything is done for you:

  • We collect your event data (implementation included)
  • We monitor and validate your data, handle any issues
  • We optimize your data for usability

We guarantee quality event data to support your use cases.

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.

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 if you want to answer the why, you need a complete picture of what happened, as everything 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.

What Cape.ly does

  • Collect event data and provide it to downstream consumers
  • Work with your IT on our highly automated implementation
  • Guarantee the data quality based on 10+ years of experience

What Cape.ly doesn’t do

  • Store data long-term or provide analytics features
  • Read from downstream consumers or do reverse ETL
  • Not an agency, a data lake, a CDP, or an analytics tool

Data as a Service

Focus on creating business value with data you can trust and build on.

Stop worrying about data issues. Use your tools to their fullest potential.

Let us take care of everything, based on our 10+ years of experience.

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.

The difference between DaaS and agencies / consultants

More than a decade of consulting and helping clients with their data issues has made us realize that the approach to collect data to create value is inherently broken.

Most companies work with their service providers on their data collection together. Unfortunately, shared responsibilities don’t work for increasingly complex implementations.

Instead, we recommend to make the data and its quality the responsibility of just one party so that the deliverable can be measured, and somebody can be held accountable.

Our DaaS comes with a data quality guarantee and can be used by you and your partners. We believe that agencies create a lot of value, but data creation requires undivided attention.