## Metadata - Author: [[rudderstack.com|Rudderstack]] - Full Title:: Overcoming the Limitations of GA4 - Whitepaper Copy - Category:: #🗞️Articles - Document Tags:: [[cdps|Cdps]], - URL:: https://www.rudderstack.com/assets/overcoming-limitations-of-ga4.pdf?utm_source=customer_io&utm_medium=email&utm_campaign=CMPGN_168_RGArt&utm_content=None&utm_term=%7Bkeyword%7D&utm_referrer=rudderstack&raid=3b74ab678364fdc67a1a2f13a8c541e7&cio_id=a2ab060aaaca018bf213 - Finished date:: [[2023-12-28]] ## Highlights > With RudderStack’s integration, you don’t have to create two separate connections and then de-duplicate events via filtering and transformations. You can simply set up one connection and flip on hybrid mode ([View Highlight](https://read.readwise.io/read/01hjpgr22j0qwv62rd2457pr51)) Not sure if I understand why GA4 does Not have full data capture > Capturing all of your data requires using an analytics-agnostic tool specifically designed to collect raw, first-party data. RudderStack’s SDKs are purpose-built for capturing customer events and can be proxied behind your site or app URL, giving you full data capture. ([View Highlight](https://read.readwise.io/read/01hjpgvs966v6e8yrrnbcq86f5)) But what alternate do they give to explore data to people without data skills > By gathering all of your company's data into a single location, including traffic data from your websites and apps, you're able to build efficient analytics on large, diverse, high-quality datasets to answer questions that analytics tools like GA4 are not able to answer on their own. ([View Highlight](https://read.readwise.io/read/01hjphdc42p1qpgqn7x8f92amw)) Is this outdated? > Google Analytics is a notorious silo for this kind of behavioral data and, even though you can technically export the data through ETL jobs or, with GA4 to Google products, it still requires a ton of modeling to be usable…and that’s before you even try to figure out how to join user identities with other kinds of customer data from other sources. ([View Highlight](https://read.readwise.io/read/01hjphhgcbhys3zetbym64vszp)) > It’s worth noting that RudderStack’s event schemas are specifically designed to make this kind of > modeling much easier. In order to perform the above analysis, you’d count pageviews by distinct `anonymousId` (which represents a single user, anonymous or known) to get a unique pageview number, then use the `referrer` value to group pageviews by the site that referred them. To maintain continuity with Google Analytics’ default channel grouping, you would assign a channel name to a group of URLs (i.e., Twitter, LinkedIn, and Facebook could be grouped into a channel called ‘Social’). ([View Highlight](https://read.readwise.io/read/01hjphqdcnavtp3r1z7dy474hn)) > RudderStack offers multiple dbt models that, when run on event data from RudderStack, can scaffold nearly complete data models for key web analytics use cases: > ● Sessionization ● Customer journey mapping ● Identity resolution ● Web analytics ([View Highlight](https://read.readwise.io/read/01hjphr32tc5qsceqxe7km7qzj))