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.
$9
per month
PiPiADS
Score10 out of 10
N/A
PiPiADS is a searchable database of TikTok ads in the world, that using an array of data uncovers the ads that are most likely to be successful for a brand.
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.
PiPiADS works really well for anyone doing TikTok marketing, especially dropshippers, ad agencies, and product researchers. It's perfect for finding ad creatives that work, tracking what competitors are running, and spotting winning products early.
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.
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.
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
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’d give it 10. The interface is clean and the core features are very easy to use once you get the hang of it. I especially like how the filters help me find exactly what I’m looking for.
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
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
I’ve used Minea before, which is also a solid ad spy tool. But I found PiPiADS to have a larger ad database for TikTok, more frequent data updates, and better filters for finding trending products. The UI is smoother and overall it just fits my workflow better, especially for TikTok-focused campaigns.
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.
