Persana AI is an AI sales agent used to find, engage, and close deals on autopilot.
$85
per month
SiftHub
Score8.7 out of 10
N/A
SiftHub is a revenue acceleration AI platform that serves as a central hub to collate and sift through all conversations, knowledge and deal context scattered across Drive, Sharepoint, Confluence, Gong, any CRM, Slack, and Zendesk.
We find Persana AI effective for outreach. One of the benefits is the speed with which we can now launch campaigns. Earlier, preparing prospect lists, enriching data, and gathering context used to take time. With Persana AI, this process has become faster for sure. Building the audience campaigns have also became quite easier for us. The tool isn’t really built for ROI calculation, and that’s something we’ve noticed in our usage.
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
Best suited for the scenarios where a Company receives a good number of RFP's/tenders or any questionnaires from their customers and there are different stakeholders internally who are responsible for entering the answers and approving it as well. Less appropriate where company has not maintained the documents or repository that is must for generating the relevant answers. Also companies which have lesser RFP participation may not use the tool that much
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
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
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
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
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
Some features, like filtering and finding leads, are pretty simple, but others take a bit of time to figure out. For someone new, the UI can feel a little overwhelming at first. Once you spend some time with it, it gets smoother, but it’s not as easy or intuitive as it could be.
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
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
Both the tools offer similar features for things like data enrichment and prospecting. But the main reason to go with Persana AI was cost. Even though Clay is also a strong tool, Persana AI gave us a good balance of functionality and price, so we decided to go with it.
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
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
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
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