Dripify is not risk-free, and its own terms never claim it is. LinkedIn's User Agreement bans automated activity on the platform, and Dripify runs campaigns from its own cloud servers, so the login LinkedIn sees does not come from your laptop. What Dripify does about that is cap volume in code at 75 connection requests a day, hold one dedicated IP per account in your country, randomise timing, and pace actions against your account's own history. Those measures lower the chance of a restriction. None of them removes it.
Everything below comes from Dripify's pricing page and FAQ, LinkedIn's User Agreement and its help page on prohibited software, and a 20-comment thread in r/SaaSSales, all read on November 6, 2026.
What LinkedIn's rules actually say
Section 8.2 of the User Agreement lists what members agree not to do. Two items matter here. Item 2 bans software, scripts, robots, browser plugins or "any other technology" used to scrape or copy the service. Item 13 bans bots and other unauthorized automated methods to access the service, add or download contacts, or send messages. Item 1 separately bans using another person's account, and names sharing log-in credentials and copying cookies as examples.
LinkedIn's help page on prohibited software states the consequence in plain words: members who use these tools "risk having their accounts restricted or shut down", and the tools themselves may stop working without notice. Section 3.4 reserves LinkedIn's right to restrict, suspend or terminate an account that breaches the contract.
Dripify's FAQ answers "Is it safe to use Dripify?" by pointing to its safety measures and calling itself one of the safest tools on the market. Both things hold at once. The tool works through your real profile, which is what makes the automation effective and what puts the profile in scope.
Where your LinkedIn session runs
Dripify is a web app. There is no Chrome extension and nothing to install, and campaigns keep running with your browser closed and your PC off. The pricing page describes the setup as cloud sending on a dedicated IP address tied to your account and located in your location, with actions spaced at randomised intervals inside the working hours you choose.
The FAQ describes the same setup in older wording, saying actions run "from your local IP address". The two pages disagree on the phrasing. What matters for risk is that the IP stays consistent and sits in your country, so logins do not jump between datacentres.
The FAQ also warns against signing in and working in LinkedIn manually while a campaign runs, because two simultaneous sign-ins can be read as suspicious. If you browse LinkedIn through the day, schedule campaigns around it.
The limits Dripify hard-codes
The pricing page publishes per-account daily quotas, and the FAQ says the caps are built into the software.
| Dripify | Expandi | |
|---|---|---|
| Connection requests | 75 a day | Up to 300+ a week |
| Messages | 100+ a day (FAQ says 150) | Set within your own limit ranges |
| InMails | 30 a day | Included in limit ranges |
| Profile views | 200+ a day | Set within your own limit ranges |
| Where it runs | Vendor cloud, dedicated IP in your country | Vendor cloud, dedicated country IP |
| Accounts per seat | One LinkedIn account | One LinkedIn account |
| Price | $59-$79 Pro, $79-$99 Advanced, per user/month | $99 monthly, $79 annual |
| Trial | 7 days, no card | 7 days |
The connection figure is the one to watch. At 75 a day, five working days is 375 requests a week. A guide posted in r/Expandi puts the working range at 20 to 50 a day and says a new account should start well under 20. Dripify lets you set a lower number, and for most accounts you should.
What buyers ask before they commit
The r/SaaSSales thread that prompted this piece is a fair sample. The poster had run Dripify for two weeks, liked the sequence builder and the price, and had already collected one warning while staying under 100 connection requests a week. They also noticed profiles marked as viewed that they had not scheduled.
Replies split three ways. One long-term user ran Dripify from early 2025 into 2026 with no restriction, then stopped when LinkedIn reach dropped and the combination of automated outreach plus posting stopped producing. Several argued that every tool in the category carries the same risk, so the choice comes down to comfort rather than safety. One said they would rather automate a secondary account than the profile they sell from.
Nobody in the thread produced a ban rate, and Dripify does not publish one. Treat any percentage you see quoted for this category as unsourced.
A setup that keeps the risk down
- Count a normal week first. Profile views, searches and requests you send by hand. Start automation just above that number, not at the ceiling.
- Run one automation tool per account. Dripify plus a scraper on the same profile on the same day multiplies the signal.
- Cap the total, not the campaign. Three campaigns each inside 75 requests a day is 225 requests a day.
- Keep activity inside weekday working hours in your own timezone, which Dripify supports natively.
- Do not log in manually while a campaign runs.
- Stop at the first warning. A CAPTCHA or an unusual-activity prompt means pause for several days and restart lower.
- Export your leads weekly. If the account is restricted, the pipeline should still be in your CRM.
Who should keep this off their main profile
Dripify suits a seller who wants LinkedIn and email in one sequence, will set conservative caps, and accepts that the profile carries a risk LinkedIn's own rules never signed off on. It is a poor fit for a founder whose profile is the company's main inbound channel, because a restriction takes out the inbox, the network and the posts at once.
If that profile is the asset, keep automation off it and put the volume somewhere else. An outbound marketing agency can run the sequences on sending profiles and infrastructure built for the purpose, and leave your name out of it.
A 7-day trial on a secondary account with a cap well under 75 is the cheapest way to find out whether the tool fits. The profile your pipeline depends on is the wrong place to run that test.