Slickstream's Journey Explorer is a tool for website publishers who are seeking to better understand how visitors are using their site. Many existing services enable a publisher to measure trends and summarize usage. Journey Explorer is, by contrast, designed to let you see the details about visits, one at a time.
Kingston is the CEO/CTO of Slickstream.
Starting at around 2:20AM Pacific Time today, Slickstream services for most of our customers were affected by a major network outage at our data center provider, OVH.
Slickstream collects and stores lots of first-party data on behalf of its customers. By the nature of what Slickstream does, on each pageview we know a lot about the viewer. As a Slickstream customer, this information is yours to use as you see fit.
Slickstream now supports email integration with ConvertKit. That means that if you manage newsletter subscribers using ConvertKit, you can automatically upload all sign-ups on your website via Slickstream.
Here is how to do that:
Customers have asked us for a client-side API that they can use to integrate even more closely with Slickstream features.
We are often asked about how Slickstream builds and maintains an index of each of our customer's sites. And people want to know how fast they should expect our index to be updated after content is added or changed or deleted. If you want these answers, you've come to right place!
We've often been asked about differences that people see in traffic counts when comparing data from Google Analytics with data from Slickstream over the same period. Why are they not identical?
If you see a note on one of your invoices that shows a credit because of an adjustment based on pageview auditing, you might be wondering what that's about.
Many of our publishers use Google Analytics to evaluate their site's performance. We've now made it possible to learn more about how Slickstream is being used within your Google Analytics. This can be particularly helpful when you are trying to understand user behaviors or when you are looking for usage patterns or running A/B tests.