Qubit, now from Coveo (acquired October 2021) uses visitor history data to understand different user segments and serve personalized messages to segments using JavaScript. It is available as either a managed or self-service model. Data is collected using Qubit's own Universal Variable data model, or by integrating the user's existing model via our API. It combines quantitative data with qualitative visitor feedback to give Qubit users the ability to detect areas for optimization.
Using…
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Crowdbooster (discontinued)
Score7 out of 10
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Crowdbooster was a tool to measure the success of Twitter and Facebook posts, with visualizations to track retweets, and track potential impressions created, likes, comments, and how many shares a Facebook post has received. Crowdbooster is no longer available.
Coveo Qubit is a very helpful platform mainly for organizations that need to provide a solid business model before carrying out any implementation or new functionality. In addition, it is a very good tool to generate changes and show different content to different types of clients, with their personalization and segmentation criteria.It is ideal for simultaneous testing and customization, only one of these activities individually is not recommended.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Before recommending Crowdbooster, I'd want to know what goals they hope to accomplish with the software. Then I would want them to specifically identify what types of metrics would be most useful to their program. If they specifically need to report out on how many people in a certain location they reached, this isn't the right fit. If they are using other tools, there may be duplication. However, if they are currently using more budget-friendly solutions or just getting started with a new program, Crowdbooster is a perfect fit. It will help you to grow your program and is flexible enough to accommodate your needs.
Qubit platform uses solid testing algorithms and delivers reliable reporting and analytics of testing campaigns. The dashboard section is easy to use and provides a good high level overview of the core campaign metric performances.
On-boarding and implementation of Qubit technology was painless and well handed throughout the entire process even with more complicated platforms.
Turn-around time for development and testing of campaigns is extremely fast. This enables the business to have a much higher throughput of tests and allows for quick validation of ideas rather than having to wait for months before a test is ready to go live on production site.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Timed social media posts - Crowdbooster provides the opportunity to schedule social media posts allowing you to work on other important social media tasks.
Simply beautiful tracking - There are millions of ways to measure social media impact. Crowdbooster offers the most important and relevant measurements in simplified charts..
Great UI - Crappy UI = crappy experience. Crowdbooster's UI is easy to navigate. It won't take months to learn where all the buttons are.
While they do work very closely with us, especially our success manager, more involvement on a technical level or a dedicated engineer, would be a great advantage. We develop a lot of experiences in house and, like all companies that dev in house, we have our own way of working. A dedicated engineer that got to know us better as well and understood how we work could only help. Sometimes, a few errors can get through QA due to this.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The ranked order of twitter followers and the number of "tweet impressions" did not help that much. Those "tweet impressions" were not really an estimate of how many people were actually reading my tweet. It was simply a sum of followers of the person retweeting a tweet and the sum of all followers from a subsequent retweet of the initial retweet. All this told me was the best case scenario I could expect if ALL followers of a person that retweeted saw my tweet. This is not a true measure of "twitter footprint" – since the “signal to noise” ratio in Twitter is very low.
There was no system in place to track "clicked links" for links embedded in tweets and/or facebook wall posts. Hootsuite did a good job of this – but only for twitter.
The list of recommended times to tweet were always "on the hour" (i.e. 10 a.m, 1 p.m.). Never were the times ever at "half past the hour" etc. An independent study that I did on my own using Google Analytics (and campaign links using google's URL builder) helped me determine that my optimal "Tweet time" during the week is 3:30 p.m. ET. More importantly, the recommended times seemed to be roughly the same on the weekends - which I find strange given that social media behavior does change on the weekends.
Occasionally, in my facebook ranked table of "loyal fans", I would see people in there that had not "liked" or "commented" on a post for months at a stretch and the "look back" period of the table was only around 7 days or so. Hence, I occasionally had to question the accuracy of that table.
Qubit is currently providing resources and support we do not have internally. Our relationship managers are exceptional and I feel well informed and well supported by their team. The tool is nice, but our contacts from the company are the real reason to maintain our relationship. They work hard for clarity and continue to help us push for additional opportunities.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Simple to use and a great value for what it offers. It has a simple but clean interface and it provides fantastic historical data you can use to measure your efforts online. By using a tool like Crowdbooster, you can see what is working with your audience and what isn't. From there, you can start tweaking your strategies
Very simple user interface, built on top of advanced functionality, makes the platform easy to use. The team at Qubit are also very open to feedback and introduce new and useful features fairly often. On the reporting side, the inbuilt dashboard reports are good for a top-level view of test results, and Qubit have made a lot of their output data available should you wish to run your own analysis
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I found it fairly intuitive and easy to use. The information is laid out cleanly, and the most important information appears at a glance on the home page. However, I have worked with other users who had a hard time switching between platforms and identifying where other information was buried. It's not always clear that something is a clickable button! The option to export results is also a bit buried, and not integrated with the date range option.
I would say that the Qubit account managers are always available for any request. We have a lot of different promotions that could always do with last minute optimizing or changes and Qubit can be relied on to get this changes up and running in an impressive amount of time, so that we don't need to patch live or wait for the next IT sprint. Invaluable to our business.
Technology is good for A/B testing and personalisation - allowing any team with a dedicated developer to create test relatively easily and to report/analyse them in a fair amount of details. Some advanced features, especially on the set up of test cells, are dearly missing. Unfortunately, new features are often not free of bugs... Also, support is sub-par, which means new features are realised without proper documentation, example or training (but of our Qubit counterparts and internally).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Qubit are supportive and flexible in providing support. They are happy working out of usual hours, even on weekends and if I have any doubts about the set up of an experience they’re quick to respond and willing to check my work. On particularly big revenue days they monitor our account and they’re quick to identify and problem solve any issues.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I do not think it is as supported as it once was when it first arrived on the social media scene. It is an older platform whose main functionality may have already ran its course.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The training was great, but would be great to have a script or PDF with some explanations of the qubit JS layer. Without the script you can just try to learn on your own, so the training is not as powerfull as it could be. On the other hand - would be great to have training related to reading statistics or personalisation.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Implementation couldn't be easier. All we needed to do was insert the tag. (easy) and set up the data layer. (dev required) This was pretty smooth in comparison to some of the other tools we use on our site, and was done in less than a day. Note : Data needs to be collected for a set period of time before you can accurately rely on the data that you are receiving. This is normal though with everyone else that we have used
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
At the time of taking the product, we found no comparable alternatives. Since then, the product has only grown from strength to strength, so it still does not have any comparable competitors that offer both the technical product and business knowledge that Qubit can. Google appear to offering a competing product which may be one to watch in future, and something for Qubit to keep an eye on
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It is a platform that is singularly focused. It does not have a lot of the additions that come stock with other platforms such as robust reporting or deeper insights past schedule times. It is also a stand-alone platform and a lot of its primary functionality can be found in more encompassing platforms.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Our requirements change throughout the year like most E Commerce retailers. At Christmas and Peak we're dealing with around ten times the usual traffic on the site. Qubit had no problems with this at all, tests continued to fire, and stats were still reported accurately. I don't think that it is the most server intensive .js anyway, but we have seen no issues at all.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Increased efficiency. I am able to generate useful snapshot reports in seconds. Particularly useful when you need answers fast (such as on a phone call).
Peace of mind. I am able to compare the data in Crowdbooster to what is exported from Facebook and Twitter.
Quicker, simpler evaluation of results. I am able to more easily compare impressions with engagement data to see what is working, and what should change. Particularly useful in day-to-day analysis.
