Feature Ideas

The feature my company is looking for, is being able to add specific dates, where we shouldn't have activity, especially on national holidays. Something that could be applied on multiple profiles or entire teams.

It would be immensely helpful to be able to remove/add a step and modify the campaign even after it has been launched. It gives us the ability to improve the campaign even more especially getting feedback from accepted connections from leads early on.

It could be super useful to give each campaign a priority. Usually marketing campaigns can have that option. One week I would like to give more volume to one from another.

It would be nice to see messages that we receive based on the campaign that the lead responded to.

If i have a campaign running and want to add a single new lead I found, i need to create a whole new list because i am not able to add leads to an existing list. Creating lists for each new lead found doesn’t make sense.

Great to be able to remove a step from a sequence if no one in that sequence has reached it yet.

for different types of campaigns different type of leads are required and can't be always 500.

My idea is an AI-powered “Reply Insights” feature that automatically analyzes lead responses in Dripify to identify common objections, themes, sentiment, and buying signals across campaigns. Right now, users can see replies individually, but there is no easy way to understand patterns across hundreds of conversations. Many SDRs, recruiters, agencies, founders, and marketers are receiving valuable feedback from prospects without realizing it because the insights are buried inside message threads. For example, users may repeatedly hear objections such as “We already work with a broker,” “We already have a solution for this,” “Not interested right now,” “Wrong person,” or “Reach back out next quarter.” These responses contain valuable market intelligence that can help improve targeting, messaging, offer positioning, ICP selection, and overall campaign performance. Instead of manually reviewing every conversation, Dripify could use AI to scan replies and automatically detect recurring objections, summarize themes, categorize responses, and generate actionable insights for the user. This feature would benefit SDRs, recruiters, agencies, sales teams, founders, and anyone running LinkedIn outreach at scale because it would help them better understand why prospects are rejecting offers, which messaging angles are working or failing, and what objections are appearing most frequently. The system could generate a dashboard or report that shows the most common objections and how often they appear across campaigns. For example, the AI might identify that 34% of leads say they already work with a broker or that a certain industry consistently raises budget concerns. Beyond categorizing objections, the AI could also generate strategic recommendations such as suggesting different positioning, messaging adjustments, or targeting improvements based on what prospects are saying. Over time, users could compare campaigns and track whether objections are improving, which scripts perform better, and which industries or ICPs respond most positively. This would make Dripify more than just an outreach automation platform by turning it into a sales intelligence and campaign optimization tool that helps users continuously improve their outbound strategy using real conversational data.