GroupHigh vs. Tiger Finder

I'd say GroupHigh is well-suited for anyone who is looking for a mass amount of influencers with ranging topics. It's very helpful in finding an abundant amount of influencers with very specific topics. If you're looking for something with very accurate numbers, this probably isn't the best bet as I have found many discrepancies

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• Segments influencers based on their blog topics.
• Allows me to create lists of different influencers. I love using this to help me pitch.
• Helps me find very specific influencers.

Incentivized

Independently Invited by TrustRadius

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

• My biggest problem with GroupHigh is that most times, their numbers are way off for the influencers. Sometimes, it tells me that an influencer has only 200 unique monthly visitors when they really have tens of thousands.
• I'd love if they had email addresses for all influencers.
• The UI can be a bit tricky to navigate at times.

Incentivized

Independently Invited by TrustRadius

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

While Tracx can be useful in finding influencers based off of certain keywords, I find that GroupHigh is more reliable in providing an abundant amount of options for me to choose from. The UI for Tracx is also a bit trickier than GroupHigh so if I had to choose, I'd go with GroupHigh over it

Incentivized

Independently Invited by TrustRadius

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's helped us source influencers so I'd say it helps us with KPI (key points of interest)

Incentivized

Independently Invited by TrustRadius

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