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TOOL HOW-TOOctober 26, 20267 min read

How to Use Snov.io to Run an Email and LinkedIn Sequence

JH

By Joris van Huët

Enterprise Interim CMO & Marketing Leader · 15+ years · 50+ orgs

Published

2026-10-26

The short answer: for a first sequence to a few hundred prospects a week, Snov.io's Starter plan at $39 a month is enough (pricing page, checked on 26 October 2026): build the list in Database Search, verify it and drop the unverifiable addresses, warm the mailbox for two to four weeks, run one sequence that opens on LinkedIn and falls back to email, cap new recipients per day, and answer replies in Unibox with an agent drafting and a person approving.

Disclosure: I may earn a commission through some links on this site. It does not change what this page says.

The job here is narrow on purpose: one list, one offer, first meetings booked through two channels from one editor. Snov.io can do far more, and most of it can wait until this works. For what each plan includes, see the Snov.io glossary entry.

Before you start:

  1. Price the batch. For example, saving 600 prospects costs at most 600 credits, since only those with a valid or unknown email are charged, and contacting them uses 600 recipients, with follow-ups free in the same billing period, per the credit article. Starter's 1,000 credits and 5,000 recipients leave room for a second batch.
  2. Start from your CRM. Export current customers, open deals and last quarter's closed-lost accounts, and load them into Snov.io as a do-not-email list, which every paid plan includes on the pricing page. Decide which LinkedIn account will send: LinkedIn steps need the LinkedIn Automation add-on, $69 a month per account on monthly billing, with a 7-day free trial.
  3. Write down the baseline. Replies and meetings per 100 prospects from your last outbound push are the numbers this sequence has to beat. Snov.io reports sends, replies and bounces per campaign, per its campaigns FAQ.
  4. Plan the source line. People found in a database did not hand you their details, so the GDPR, in Article 14, expects you to say where the data came from by the first message. One sentence on source and how to opt out covers it.

Step 1: Describe the buyer and let AI set the filters

Open Database Search from the Finder menu and type the buyer into the AI Search field, for instance "Marketing directors from SaaS companies in the Netherlands with 50 to 200 employees". The AI Search guide turns each keyword into a filter: a singular title becomes a position, a plural such as "Directors" becomes a management level, and niches such as SaaS may need a Specialty filter added by hand. Read every filter it sets before saving anyone.

Step 2: Save a capped batch

Open the search Settings and set Max prospects per company to 5 or fewer, the cap the Database Search guide recommends so outreach does not look mass-sent, then set the number of prospects to this week's batch. A results page shows up to 50 prospects, and one save takes up to 15,000. Save into a new list named after the campaign; searching costs nothing, saving costs the credits above.

Step 3: Verify, then drop the yellows

Open the list and click Verify emails. Each check costs 1 credit for a valid or invalid result and nothing for an unknown one, per the verification credit article. The preparation guide sets the bar: unverifiable addresses at 5% or less are safe to send, above that clean the list first, starting with catch-all domains. Invalid addresses are kept out of campaigns automatically.

Step 4: Warm the mailbox before it sends

In Email Accounts, connect Gmail or Outlook with sign-in, or another provider through SMTP and IMAP, then click Quick launch under Warm-up. The sender preparation guide asks for four weeks on a new domain or account and two on an existing one, with no campaign mail in that period. Its progressive preset starts at 2 warm-up emails a day and adds 2 daily up to 40. Before launch, run a test in Deliverability check: an inbox rate of 90% or more means ready, 80% or less means keep warming.

Step 5: Build the sequence around the LinkedIn connection

Go to Campaigns, click + New campaign and use the visual editor, as the setup guide shows. A flow that respects both channels:

  • Open with a Connection degree condition so 3rd-degree prospects skip the LinkedIn steps, which the conditions guide calls risky for your account.
  • For 1st and 2nd degree: view the profile, send a connection request with a short note, then a Connected on LinkedIn condition with a five-day wait. Acceptance moves the prospect to a LinkedIn message at once; no acceptance moves them to email.
  • Email steps two to four days apart, then a Goal step to close the flow.

The setup guide adds two limits. A sequence with both channels sends only to valid, verified emails, and it switches off email open and click tracking, so judge it on replies. Switch on One-click unsubscribe in Sending options as well; the unsubscribe guide says it does not replace the link in the email body, so keep both.

Step 6: Set the limits that protect the domain

On the Prospects step, switch on Skip duplicates; it cannot be changed after launch. In Sending options keep Stop follow-ups for prospects who reply, and add Stop campaign after a company reply, so one answer pauses everyone else at that company. Under Advanced settings, set a New recipients daily limit. The setup guide suggests 100 to 200 new leads a week, and the sender guide keeps campaign plus warm-up mail at 100 a day or less per mailbox, split roughly 80 to 20. Then click Start.

Step 7: Let an agent sort the replies, and approve what it sends

Connect Snov.io to Claude by adding https://mcp.snov.io/mcp as a custom connector and signing in, per the MCP guide. Then ask: "Check unread Unibox replies for this campaign, group them as interested, not now or unsubscribe, draft an answer to each interested one, and create a deal for each in the CRM." The guide separates view-only actions from actions that create or send, and the AI tool should ask before running the second kind. Read every draft against the prospect's own words, correct it, and approve sends one by one. An unsubscribe request gets removal, not a reply.

How to know it worked

Compare replies and meetings per 100 recipients with your baseline, and read bounces on their own line. The sender preparation guide treats a bounce rate above 5% as the signal to cut campaign volume and raise warm-up. Snov.io bills by recipient, so its revenue grows with your list; the 100 to 200 new leads a week in its own setup guide is the pace to hold until the reply rate argues for more.

What Snov.io's guides warn about

  • Sending during warm-up. The sender guide asks for no campaign mail during the initial warm-up period.
  • Duplicate detection switched on too late. It only works if enabled before launch.
  • Restricted topics. Campaigns about loan offers, selling contact lists or databases, online casinos, adult content or free gift offers may be stopped before they start, per the setup guide.
  • The shared tracking domain. For email-only campaigns with tracking, the setup guide recommends a custom tracking domain, because the shared default can hurt sender reputation.

FAQ

How long before a new mailbox can send?

Four weeks of warm-up for a new domain or account and two weeks for an existing one, followed by a deliverability test with an inbox rate of 90% or more, per the sender preparation guide.

What happens to prospects added after launch?

They enter the campaign and start from step one, according to the campaigns FAQ, and the duplicate check runs on them too.

Does LinkedIn Automation need a premium LinkedIn account?

No. The pricing FAQ says it works with every LinkedIn account type, free ones included, sets daily limits from your Social Selling Index, and advises against more than 50 actions of each type a day.

TAGS
Snov.ioOutboundLinkedIn AutomationEmail VerificationEmail Warm-UpMCP

ABOUT THE AUTHOR

I am Joris van Huët, an enterprise interim CMO. 15+ years, 50+ organizations, including ING, P&G, Nestlé, BNP Paribas, WeTransfer and Vinted. I take on innovation projects (venture building, design sprints), agentic marketing (setting up and running AI agents) and hands-on multi-channel work. See the track record.

I wrote and published this with AI assistance, and I answer for it. Claims about my own experience are limited to the track record above, and a statistic links to its source or is labelled as an example. I sell interim and fractional CMO work, which is why this site exists. How this site is written.

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