In Analytics, conversions and Ecommerce transactions are credited to the last campaign, search, or ad that referred the user when he or she converted. But what role did prior website referrals, searches, and ads play in that conversion? How much time passed between the user’s initial interest and his or her purchase?
The Multi-Channel Funnels reports answer these questions and others by showing how your marketing channels (i.e., sources of traffic to your website) work together to create sales and conversions.
The Multi-Channel Funnels reports are generated from conversion paths, the sequences of interactions (i.e., clicks/referrals from channels) that led up to each conversion and transaction. By default, only interactions within the last 30 days are included in conversion paths, but you can adjust this time period from 1-90 days using the Lookback Window selector at the top of each report. Conversion path data include interactions with virtually all digital channels.
Every report in Analytics is made up of dimensions and metrics.
Dimensions are attributes of your data. For example, the dimension City indicates the city, for example, “Paris” or “New York”, from which a session originates. The dimension Page indicates the URL of a page that is viewed.
Metrics are quantitative measurements. The metric Sessions is the total number of sessions. The metric Pages/Session is the average number of pages viewed per session.
The tables in most Analytics reports organize dimension values into rows, and metrics into columns. For example, this table shows one dimension (City) and two metrics (Sessions and Pages/Session).
COUNTIF function to count the number of occurrences of each word.
The MATCH function returns the position of a value in a given range.
To find the position of the most frequently occurring word (don’t be overwhelmed), we add the MODE function
Use this result and the INDEX function to return the 2nd word in the range A1:A7, the most frequently occurring word.
This example teaches you how to perform a two-column lookup in Excel. See the example below. We want to look up the salary of James Clark, not James Smith, not James Anderson.
1. To join strings, use the & operator.
Excel formula tutorial: How to use COUNTIF, SUMIF, or AVERAGEIF functions
1. Formula and Function Tips and Shortcuts
2. Formula and Function Tools
3. IF and Related Functions
4. Lookup and Reference Functions
5. Power Functions
6. Statistical Functions
7. Math Functions
8. Date and Time Functions
9. Array Formulas and Functions
10. Reference Functions
11. Text Functions
12. Information Functions
Time spent on site
E-commerce Conversion Rate
Ecommerce Transactions & Transaction IDs
Average Order Value
Per Session Value
The ecommerce data is made up of transaction data and item data.
Transaction Data provide details about users’ transactions like:
Transaction ID (or order ID).
Store or affiliation name.
Total revenue generated from the transaction (can also include shipping cost and taxes)
Total tax associated with the transaction.
Total shipping cost associated with the transaction
This solutions gallery contains in-product solutions (such as dashboards, custom reports and segments) to deepen your use of Google Analytics and accelerate your learning curve. Whether you’re a newbie or guru, they will help you learn more about your data through the power of Google Analytics. Get started with our featured solutions below or refine your search by clicking the “Browse” link.