Dovetail, headquartered in Sydney, aims to enable the world to create better products and services through deep customer understanding. Dovetail states they empower 45,000+ people, from agencies to universities to Fortune 100 companies, to make sense of their customer research in one collaborative research platform.
$0
per month
Google Analytics
Score 8.2 out of 10
N/A
Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
per month
Pricing
Dovetail
Google Analytics
Editions & Modules
Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
Google Analytics 360
150,000
per year
Google Analytics
Free
Offerings
Pricing Offerings
Dovetail
Google Analytics
Free Trial
Yes
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual billing on the Professional plan.
As a qualitative researcher who conducts client interviews, I find that Dovetail's ability to accurately transcribe the conversations (which, many times, include technical jargon that Dovetail is able to pick up on), synthesize the relevant information, pull highlights and insights, and create shareable reports is much better than other programs I've used in the past.
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.
I really like the User Interface, how easy it is to have all your research data in one project and how visual it is to understand where are things. It does have a good User Experience.
I like how nice and easy it is to create categories or use the ones auto generated as a starting point. It is very easy to create a color coded set of categories that help make sense of the data.
I like how easy it is to see the video snippet of a specific highlight.
I think one of Dovetail's biggest challenges is discoverability. They are constantly shipping new features and adding more functionality, but I find the help articles and videos do not go deep enough or even provide enough help to get started. I'm sure I'm not utilizing the platform to its full potential, and I think better training or onboarding across all tiers would help us get more out of Dovetail. Its hard to even know what you're not using or what you don't know.
On the Enterprise plan, you get a dedicated account manager who can handle your onboarding. That's the only plan with an account manager. And it's a little unfortunate. When you write into the help center, they direct you to a help article, which again does not go deep enough. I wish there were more opportunities for training and enablement for lower tiers.
I think Dovetail is amazing for qualitative research, but I find it very frustrating and lacking for quantitative research. I don't think it makes survey analysis very easy. I would be looking for something closer to a Sheets or Excel for quant analysis, but Dovetail is pretty crude in what it allows you to do with survey results.
Because we are really happy with the tool and it’s capabilities at the moment. The price increase is the main issue we can have but the features are getting better and better. It really saves a lot of time for our team and allow us to collaborate more efficiently with certain stakeholders that often did not réalise how much research we conduct. Now they can just have a look to it by themself!
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.
As I said, since the navigation changed, I’m a bit lost. The previous structure felt more intuitive, and I could quickly access the sections I needed. Now, some areas seem reorganized in a way that’s less predictable, which slows me down. I sometimes have to click through multiple menus to find specific features or content
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
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.
Regarding performance, I would say it’s satisfactory. Adding data and transcriptions is really fast and efficient, and can be done in the background, so I’m never hindered by these aspects. However, all the new AI-generated features are still somewhat slow to run. It’s nothing major, but it should improve in the future.
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
Support was good, especially when it comes to the capability of your support agents and engineers. But as i am located in Europe, the difference in the time zone made it hard to communicate with your offices and kept my work way back
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.
The training went very well, and we co-built it to really address our needs. I also think it was beneficial to have feedback coming from someone other than myself (since I manage the tool), as it helped reinforce the points I wanted to highlight. The team’s feedback on the training was very positive.
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
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.
I have used Condens for qualitative analysis in the past, and I really like that product. I think that Dovetail is more powerful in its ability to analyze with AI and organization. One feature I really liked about Condens was the ability to clip and tag quotes directly from the video, as if it were a movie-editing tool.
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush 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 Semrush and Google Analytics, I would say go for Semrush.
Management is quite straightforward; it’s easy to change access if certain stakeholders need to use it. The repository features are accessible to all teams, making it a good entry point into the tool. The more people use it, the more powerful the tool becomes, so it seems truly scalable to me. The limits are more financial, in terms of accessing additional features.
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
Having a centralized research space is a game changer. Makes it so much easier to hand over research if working with new people and have system in place (using the templates). Saves so much time. We don't have hard numbers on the hours saved but we are much more efficient using Dovetail than without.
The tagging system in general is amazing and allows for consistency in topic marking. This was non-existent for our team before Dovetail and now we can do much more granule reports with exact # of times something was said with accuracy.
