Stop blasting cold lists. Gojiberry detects intent signals, finds warm prospects, and personalizes LinkedIn outreach end-to-end—so you can track which signals convert into real conversations.
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Congrats on the product and the launch!
QQ: The "intent first, message second" approach makes sense, but how do you filter false positives? Like, someone liking a competitor's post could mean they're evaluating options, or it could just mean they thought the post was interesting. How do you weigh different signals to avoid chasing people who aren't actually in buying mode?
@andreitudor14 We have a self-learning system, which means if we find a false positive, it won't happen twice.
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Congrats! The "scraping random leads" problem is super on point 😅.
One thing I've noticed: personalized outreach works way better when the sender actually has a LinkedIn presence. Otherwise, it's just "random person with nice message."
Do you have any data on whether your users' personal brands affect reply rates? I'm curious also because I'm building PostGod, which is focusing exactly on this personal branding side of things for LinkedIn.
• People engaging with your competitors (likes, comments, follows) • Prospects viewing your profile multiple times • Job changes into relevant roles • Companies hiring for roles that indicate budget or need • Funding events • Tech stack signals • Trigger events tied to your ICP"
For this type of tool, "real intent" is the key, the signals you mentioned above look like Sales Nav criterias, do you have a complete list of these signals ?
How far can you go with these signals ? Can you create one that is not on your list for exemple ?
For exemple, I am currently looking for companies posting jobs in countries where they don't currently have employees yet, it's a strong signal...
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Congrats on the launch! Any conversion success stories to share? What did the conversion rates look like for clients? Fixed price is a nice differentiator from the token approach.
Replies
Congrats on the product and the launch!
QQ: The "intent first, message second" approach makes sense, but how do you filter false positives? Like, someone liking a competitor's post could mean they're evaluating options, or it could just mean they thought the post was interesting. How do you weigh different signals to avoid chasing people who aren't actually in buying mode?
Gojiberry AI
@andreitudor14 We have a self-learning system, which means if we find a false positive, it won't happen twice.
Congrats! The "scraping random leads" problem is super on point 😅.
One thing I've noticed: personalized outreach works way better when the sender actually has a LinkedIn presence. Otherwise, it's just "random person with nice message."
Do you have any data on whether your users' personal brands affect reply rates? I'm curious also because I'm building PostGod, which is focusing exactly on this personal branding side of things for LinkedIn.
Gojiberry AI
@ruxandra_mazilu We only target people with a LinkedIn presence; that's why there are high-intent leads.
Copperlane
Such a cool product btw! What’s the average lag time between the trigger (e.g., job change, funding) and when Gojiberry surfaces it?
Gojiberry AI
@brianna_lin It's less than six hours.
Congrats on the launch guys, it will solve a real pains in sales motion B2B mainly, does it offer AI mapping to our target ICP?
Gojiberry AI
@ayman_elafifi1 It sure does.
RAEK
@roman_cz Congrats on the PH launch. I'm a happy client and the Goji team is great. Break out that digital card and get signed up you wont regret it.
Gojiberry AI
@cory_crapes Thank you so much for the kind words, Cory.
Is this tool only useful for b2b? I sell a service to people. Not to businesses. So I would sell b2c
Gojiberry AI
@new_user___06120261f172c528243c83e Yes, this tool is useful for B2B. In B2C, it doesn't work, unfortunately.
How did you come up with the name Gojiberry? It's interesting...
Gojiberry AI
@chaitanyabadavein It's my developer's favorite fruit.
Hello @roman_cz you said :
"Concretely, we detect things like:
• People engaging with your competitors (likes, comments, follows)
• Prospects viewing your profile multiple times
• Job changes into relevant roles
• Companies hiring for roles that indicate budget or need
• Funding events
• Tech stack signals
• Trigger events tied to your ICP"
For this type of tool, "real intent" is the key, the signals you mentioned above look like Sales Nav criterias, do you have a complete list of these signals ?
How far can you go with these signals ? Can you create one that is not on your list for exemple ?
For exemple, I am currently looking for companies posting jobs in countries where they don't currently have employees yet, it's a strong signal...
Congrats on the launch! Any conversion success stories to share? What did the conversion rates look like for clients? Fixed price is a nice differentiator from the token approach.