Likelihood to Recommend
If you run many ad campaigns in parallel (or high budget spend campaigns), you'll need to keep feeding the ad platform with lots of fresh ads to combat ad fatigue. This is where adcreative.ai is best suited - it produces lots of targeted ads fast and cheaply. If you run ad campaigns in a niche that requires very specific messaging and images, you may still be better off designing your ads one by one with human creative input
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Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
Read full review Pros Image + text placement Image discovery Creative at scale Read full review Multiple reports to see website use and behavior Allows you to customize reports with days, weeks, months, and years You can build out a dashboard to easily view stats from multiple websites in one place You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats Read full review Cons more freedom change the initial ad format inputs (sometimes you dont want all the fields) possibility to fully edit individual ad creatives manually after batch creation Read full review Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive. Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful. Gotchas around filtering and data validation. Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics. Read full review Likelihood to Renew
It saves our organization a lot of time and money.
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We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
Read full review Usability
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
Read full review Reliability and Availability
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
Read full review Performance
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
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The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
Read full review Online Training Read full review Implementation Rating
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
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It's missing a lot of sizes and a lot of the "AI".
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I have not used
as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used
, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn
in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among
and Google Analytics, I would say go for
Read full review Scalability
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
Read full review Return on Investment Negative because we've had to spend more time editing the files than we thought. It was better to stick with Canva in most cases. Read full review It has helped us gain understanding of what is going on on our website. It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone). It has helped us understand our biggest avenues for bringing traffic to the website and business in general. It has helped guide our website redesign. Read full review ScreenShots