Our website has many related products from a large number of different brands
I'd like to try and use Google Analytics data to find out, on average, how many different brands - which I have set as a hit level custom dimension - a user will look at over a given time period
I'm not sure if this is possible, but it would be really cool to know!
Helps with understanding brand loyalty/defection
I started by creating a simple custom report to see how many manufacturers get seen by how many users, but I don't know where to go next with this question in order to answer it!
Related
I want to create multiple online shops for selling merchandise products for companies. The products are basically identical but should be personalized in dependence of the company I am building the shop for. Because I do not want to build a new shop every time a new company joins the program I am looking for something like that:
www.myshop.com : One shop with the underlying product database and checkout system - not showing any products, just as a parent structure
www.company1.myshop.com : A slightly personalized shop where only a selection of the product catalogue is available
www.company2.myshop.com : A slightly personalized shop where a different selection of the product catalogue is available
Do you get it?
Does anybody know a tool for that?
Thanks in advance!
I already looked into WooCommerce, Shopify and even WiX. As far as I understood what I am looking for is not supported.
Since your example is based off of subdomains, you can choose to assign a Shopify store to each subdomain. Each store feeds from your inventory and accounting, giving your customers the illusion of a custom experience. Or you can just simplify your life, have one store, and assign your customers to view collections specific to them. That is the smart move. You may not like that, but it would work a peach for you. You just tag customers to see their specific collections, of products specific to those collections. Simple.
I can also think of a dozen other ways to pull this off with Shopify, but that is me, not you. For an opinion question like this, SO is not the right place to ask these kinds of questions, but I answered anyway. Your mileage may vary of course.
I am getting a little confused as to what is the best way to measure the amount of sessions/visits for which a particular event has happened at least once.
I am reading different options for doing this: via segments or via filters. Which one is the correct one? I am getting different numbers!
In practice I have this section of my site that has these articles people can post and they tag their article with topics/tags. Using GTM I am collecting the topics/tags whenever someone views an article. So I have this event category named "Post view - topics" and in the event label I am listing the topics.
The idea is that I can build dashboards around specific topics (ex. the topic "Analytics") and track how many articles have been viewed, how many visits/sessions led to read an article that concerned that topic, what are the most popular articles for that topic, etc...
The way I've been doing it until now is:
Apply a event-category filter on my data ("Post view - topics")
Apply a event-label filter ("Analytics")
screenshot of my filters
And then build my charts around that filtered data.
I thought this was the right way to do it, but now I'm concerned that this might not be correct, especially when I want to measure the amount of sessions. I am reading (here for instance) that it might be better to use segments?
What do you guys think?
I suggest you to use segments, in this way you can request sessions which have your event category and your event action.
I'm currently researching a solution to monitor the performance of specific sections of a page. For example, you have a simple page with 2 images with links to other pages. You are driving lots of traffic to this page and you are experimenting with different contents on that page.
6 months after, you want to see which section of the page performed better with what kind of specific imges.
Let's imagine you require a report that should tell you the following: on average, the first spot performs better, but last week the image was bad and that's why you had less conversion from that spot.
I'd like to use such a system on a high-traffic homepage of an eCommerce website, in order to better monitor the usage of the selling spots.
I was thinking to use Google Analytics events with a positioning scheme (splitting the website in columns and rows, giving to each cell an identification ID such as a1 for column a, row 1) and keeping a local datawarehouse of creatives (images, promotions etc.), but apparently, after 10.000.000 hits per month, Analytics is recommending the premium version which is quite pricey (12k USD per month, 1 year upfront payment).
I was thinking about PIWIK as an alternative, but there is no event tracking there - or am I missing anything?
Looking forward to hearing your input on this matter.
You're better off with a provider like Optimizely for this use case. Still gonna be expensive, but it'll more quickly get you the information you need to make decisions.
We normally use multi variation tests or A/B tests to measure the success of user interfaces. Google Analytics have this feature and it is free.
This links maybe useful
https://www.youtube.com/watch?v=yDWTMOC_Dp4
https://support.google.com/analytics/answer/1745147?hl=en
I think the question has been answered here before,but i could not find the desired topic.I am a newbie in web scraping.I have to develop a script that will take all the google search result for a specific name.Then it will grab the related data against that name and if there is found more than one,the data will be grouped according to their names.
All I know is that,google has some kind of restriction on scraping.They provide a custom search api.I still did not use that api,but hoping to get all the resulted links corresponding to a query from that api. But, could not understand what will be the ideal process to do the scraping of the information from that links.Any tutorial link or suggestion is very much appreciated.
You should have provided a bit more what you have been doing, it does not sound like you even tried to solve it yourself.
Anyway, if you are still on it:
You can scrape Google through two ways, one is allowed one is not allowed.
a) Use their API, you can get around 2k results a day.
You can up it to around 3k a day for 2000 USD/year. You can up it more by getting in contact with them directly.
You will not be able to get accurate ranking positions from this method, if you only need a lower number of requests and are mainly interested in getting some websites according to a keyword that's the choice.
Starting point would be here: https://code.google.com/apis/console/
b) You can scrape the real search results
That's the only way to get the true ranking positions, for SEO purposes or to track website positions. Also it allows to get a large amount of results, if done right.
You can Google for code, the most advanced free (PHP) code I know is at http://scraping.compunect.com
However, there are other projects and code snippets.
You can start off at 300-500 requests per day and this can be multiplied by multiple IPs. Look at the linked article if you want to go that route, it explains it in more details and is quite accurate.
That said, if you choose route b) you break Googles terms, so either do not accept them or make sure you are not detected. If Google detects you, your script will be banned by IP/captcha. Not getting detected should be a priority.
I have a client who has suggested laying out a long list of categories in a custom order. The order is to be decided by them based on product items they sell the most etc.
I tend to disagree and feel that people browsing the internet prefer to search lists of categories that are in alphabetical order or sorted by something they can take reference of such as a date.
I would like to know others thoughts on this and it would be appreciated if anyone could point me in the direction of any open source surveys that have been taken in this area.
Thanks
Ben
What a silly stance to take regarding a simple customer request. Allow for both orderings, and other ones too. There is no survey that will demonstrate that the client is wrong as they are - by definition - correct.
Code that allows for different orderings has greater utility anyway, and real user data will be able to show them which - if either - should be the default.