Chrome-Stats extensionCompare Chrome extensions: Salesforce Dependent Picklist Matrix Export vs HashTest - Realtime Hashtag Testing
| Stats | 
Salesforce Dependent Picklist Matrix Export
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HashTest - Realtime Hashtag Testing
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|---|---|---|
| User count | 3,000+ | 10,000+ |
| Average rating | 5.00 | 3.71 |
| Rating count | 28 | 14 |
| Last updated | 2023-03-18 | 2016-11-03 |
| Size | 9.46K | 16.38K |
| Version | 0.0.8 | 1.0.4 |
| Short description | |
|---|---|
| Saves the Dependent Picklist Matrix as a CSV file | Find the best hashtags while you type, with real time color-based quality scores. |
| Full summary | |
NOTE: Some users have reported that the extension does not work for them if they are using VPN or proxy. Please check if this is the case for you as well and try without VPN/proxy. Some users have reported that the exported file does not have complete data. In all these cases, the data is trimmed after a special character (for example '+' or any other character). I am not able to replicate this issue on my end so can not fix it. If you face similar issue and willing to spend time to resolve this with me, please contact by email. Support: You can support the app development here: https://buymeacoffee.com/maninders For any queries contact by email. Why you need this app? Salesforce does not provide any feature to extract the Dependent Picklist Matrix for analysis, comparison and reporting. This extension helps to export the dependency matrix as a CSV file and supports using "View All" for more than 5000 entries. Compatibility:
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Easily discover the best and most popular hashtags to increase your reach on Social Media. What does HashTest.io do? HashTest.io tries to help you find the best hashtags for your social media content whether it’s Twitter, Instagram, Facebook, or whatever. Why do hashtags matter? Hashtags are essential to making sure your content reaches the correct audience. In fact, using hashtags on Twitter can increase engagement with your content by up to 40%. Why does hashtag popularity matter? Super-popular hashtags have diminishing marginal returns: if everybody on the planet uses them, your content will be lost in the torrent. But using obscure and relatively unused hashtags is utterly useless too. So the best hashtags are the ones that are both popularly used and most likely to result in increased engagement. So how does HashTest.io determine what hashtags are best? With some super awesome number crunching magic, analyzing tons of data, and a pinch of dragon’s blood. Obviously. Why does HashTest.io not report on other analytics data such as likes, retweets, shares, and other things? |