Why Google Analytics is still showing data for edited/old "Goals"?
-
For example, I edited "Goal #1" (goal type=event) with new values/event conditions last Nov. 20, 2014. Why Google Analytics is showing numbers from Nov 1-19 for Goal #1? Does Google Analytics show old data?TIA!
-
I agree with Shakur and reusing goals can become messy. If you do have the need for multiple goals I would also look at creating one or more new profiles in Analytics. I'm working on a large site that now has 4 profiles, each with goals that make sense within that given profile. For example, we have a profile name based around chat with a group of chat events and goals within.
-
This is really a big help Shakur. Appreciate it. I'm currently repurposing the goal slots as we had a major revamp on our site and we have to create new CTA buttons which also serve as goals for us. I have to repurpose the goal slots as we already exceeded to 20 goals (limit). I'm also using a spreadsheet where I can see the old values (old goals) of the new goals and added an annotation so I can easily see where I should start getting the report for the new setup goals.
-
Hi there,
Because you can edit goals, you can always reuse the slots being occupied by inactive goals. If you do this, remember that the previous goal data for the inactive goal will still be in your reports. This can be confusing and misleading, as you may see goal completions for your new goal that were really goal completions for the old goal.
There are three things you can do to limit the confusion:
1. Don’t re-purpose goal slots. Just mark them as inactive.
2. If you must re-purpose goal slots, try to keep the new goals as similar to the old goals as possible.
3. Use the annotations feature in your reports to keep track of any changes you’ve made to your goals. It would also be thoughtful of you to email anyone who uses the reports to notify them of the change.
Hope it helps you.
Got a burning SEO question?
Subscribe to Moz Pro to gain full access to Q&A, answer questions, and ask your own.
Browse Questions
Explore more categories
-
Moz Tools
Chat with the community about the Moz tools.
-
SEO Tactics
Discuss the SEO process with fellow marketers
-
Community
Discuss industry events, jobs, and news!
-
Digital Marketing
Chat about tactics outside of SEO
-
Research & Trends
Dive into research and trends in the search industry.
-
Support
Connect on product support and feature requests.
Related Questions
-
Google-powered search bar suddenly returning totally different results than usual - User Intent?
Our website has a Google powered search bar and for some popular keywords it has always returned the same results but for the past week it has been returning totally different and nonsensical results with the previous top 2 entries now on the 2nd and 4th pages of the results. It seems to be mixing up two separate keywords which the same user may search for but which both mean two very different things. Is this a User Intent issue do you think? Anyone know if there's anything we can do to stop it? I'm guessing not...
Conversion Rate Optimization | | missus0 -
Overlay / modal for product pages - bad or good for SEO?
Hi all, I am considering using full overlays/modals for an e-commerce site for all our product pages (category/listing pages will be "normal", the product page will come over the listing page as an overlay/modal when you click on the product). Those “product overlays” will also be accessible directly with own URL (if need to be linked to for ex.). All the literature I find out there treats overlays and modals as “marketing” ones (ads, sign-ups, etc.) and is generally critical to overlays when it comes to SEO, while also saying that an overlay that has to do with good UX should not hurt the SEO of our site. What do you think? Will all product pages as overlays be considered as good UX by the search engines and therefore not be negatively impacted, SEO speaking? Or should we stay clear of overlays and create “normal” product pages? Thanks in advance! Arnaud NB: The reason we want to create those overlays are for design and UX purposes, and try to increase our conversion rate.
Conversion Rate Optimization | | Arnaud_Fo0 -
Google Experiments issues
Hey fellow Mozzers! We're in the middle of working on CRO for a client of ours and we were going to try out Google Experiments for the first time. Following the click path described on the Google help page should take me to an option that says 'Create Experiment', but this isn't coming up - do we need to create the various URLs before it will let us set up an experiment, or has the system changed now? I've found in the past Google has a habit of updating its interfaces but not the advice on using the affected tools, so wondering if I'm looking at old information? Secondly, does the Experiment show a user the same variation of the page throughout their journey? What I mean by that is: their site currently has a real mish-mash of page styles, and I think a large part of boosting their conversions is probably down to ensuring consistency across the site as it currently seems like you're bouncing around different sites. But will this issue be made worse by running Experiments - ie, will I enter the site on Variation A, click a link and be shown the next page in Variation B and so on? If so, are we better off running the experiment on one page at a time and using what we've learnt to impact the next page? Thank for any help you can give! Nick.
Conversion Rate Optimization | | themegroup1 -
Google Image Search Case Studies for E-commerce?
Is anyone aware of any e-commerce stores that have any sort of conversion rate from image search? Have any particular changes they've made resulted in an increase or decrease in sales?
Conversion Rate Optimization | | Alex-Harford0 -
Where I can place a banner/message in my site telling I have a new website?
Where I should place a banner or a message in my old site to tell user that I have a new website? Thanks in advance!
Conversion Rate Optimization | | esiow20130 -
Google Analytics e-commerce tracking on multiple pages
Hi, I work in the airline industry and we are trying to implement Google analytics on our site. We are at the stage of getting e-commerce tracking setup. The problem we face is that we have multiple receipt pages (booking confirmation pages in our case) instead of just one as most carts would have. These are completely independent of each other. My question is can I use the same e-commerce tracking code on each page or do I need to setup multiple trackers. I reviewed the documentation here: https://developers.google.com/analytics/devguides/collection/analyticsjs/ecommerce#multitracker however I'm unsure if multiple trackers are needed when using it on multiple pages or is this just for multiple trackers on the same booking confirmation page. any help on this would be greatly appreciated
Conversion Rate Optimization | | aerlingus0 -
How can I track the traffic source/keyword of form submissions?
I'm using Google Analytics on www.nhfinehomes.com and would like to track the source of leads submitted via form submissions. Ideally, I could track if the lead originated from organic search (and what keyword phrase), PPC, referral links, etc. Is this possible with Google Analytics and if so, can anyone point to some documentation on how to do this or better yet someone who can help me set this up? This site is running ASP.NET and uses JQuery so there is not a 'traditional' thank you page that I can reference. I'm not a programmer and do not pretend to be one! Thanks in advance. Link
Conversion Rate Optimization | | LinkMoser0 -
Ideal product page conversion/retention rate for eCommerce sites
Hi SEOmoz-ers, I was wondering if anyone has data regarding product page abandonment rate (% of potential customers that leave the site after seeing product pages) for websites like Overstock, REI or Zappos? As you may know the above mentioned sites do an exceptional job with product pages. It would be helpful to know what some of the leaders in this space are achieving in terms of conversion rate. What is your personal opinion about this? Thanks,
Conversion Rate Optimization | | Kush_VMI
Kush0