Our campaign results: 800 prospects, 20+ meetings
Every number on this page comes from a specific campaign. We do not quote market averages. We show our own campaigns with their context: the industry, the scale and the period.
against a 3 to 5% industry benchmark (Instantly, 2025)
800 prospects, a sequence of 3 emails
email plus LinkedIn against a single channel (5 test campaigns)
The flagship campaign: 800 prospects, 20+ meetings
The client was a B2B services company. In two weeks we contacted 800 prospects with a sequence of three emails.
800 prospects
Reply rate: 14%Typical cold B2B campaigns reach 3 to 5%, according to 2025 industry roundups.
50 sales opportunities
6% of the listAlmost half of the replies were positive: decision-makers ready to talk further.
20+ meetings booked
40% of opportunitiesWithin one month. This is the result of one campaign, and we give it with its full context.
The challenge
Decision-makers at B2B companies receive dozens of generic offers every week, so an email sent to a cold database list disappears in the inbox. The problem is not only the wording. It is the timing: we write to people who are not thinking about the subject at that moment.
The campaign set out to test whether outreach based on what a decision-maker actually does on LinkedIn would clearly beat classic cold mailing. The target group was service companies, software development agencies, SaaS, consultancies and B2B manufacturers.
The solution: buying signals from LinkedIn
We built the list from buying signals instead of a database, and wrote every email for a specific person and their activity.
Signals from LinkedIn
Our system tracks decision-makers' activity on LinkedIn (posts, interactions with content from the industry, engagement with competitors), filters it against the ICP and returns the people most likely to be interested.
Enrichment and personalisation
For each company we found a verified email address and generated three individual messages based on profile data: team size, industry, recent posts and achievements (for example, a won hackathon).
Sending
Several mailboxes on separate domains in rotation, a limit of 300 emails a day, and the sequence stops as soon as someone replies.
The sequence: 3 emails over about two weeks.
Email 1: AIDA
A problem in the recipient's industry, what it means in their situation, the result of companies that solved it, and one question at the end.
Email 2: a reference to LinkedIn
Sent after 3 days. It refers to a specific post or activity of the recipient and offers to show what a campaign would look like for their company.
Email 3: LinkedIn plus email
Sent after 6 days. It makes the case for using two channels at once and asks how many of their LinkedIn contacts turn into conversations.
The opening of email 1 to a consulting firm: "With a team of six, every hour spent on prospecting is an hour less for documentation and benchmarking analysis." The recipient replied two minutes later asking to meet.
Replies by step of the sequence
Half of the replies came to the first email, but the follow-ups delivered the other half. Without them the campaign would have had half as many replies.
| Step | Share of replies |
|---|---|
| Email 1: AIDA | 50% |
| Email 2: a reference to LinkedIn | 32% |
| Email 3: LinkedIn plus email | 18% |
Each later email reached a smaller group, because the sequence stopped for people who had already replied.
What decision-makers replied
They most often praised the accuracy of the research, not the offer itself. The quotes are anonymised:
Owner, tax advisory
“Your cold email is spot on. Shall we meet online?”
Manager, SaaS (PIM)
“I am not the decision-maker, but there is something in your message and your LinkedIn profile that makes me want to talk.”
Sales Director, IT services
“Respect for the sales research you did :) Please send more details.”
CEO, IT recruitment
“I would be happy to pay on a cost-per-lead basis. What would the price be?”
Founder, product studio
“One of the better cold emails I have received lately, I appreciate it!”
Business Development Director, private label
“Please call me on Monday at 9:30.”
How we measure
All replies
Every reply to an email or message on LinkedIn, whatever its tone.
Positive replies
Replies that express interest: sales opportunities ready for a further conversation.
Meetings booked
Slots reserved in the calendar. This is the only metric that says anything real about effectiveness.
We deliberately do not measure open rate. It needs a tracking pixel, which lowers deliverability, and an opened email says nothing about the recipient's interest.
Multichannel campaigns: a 3× higher reply rate
Campaigns that combine both channels reach a reply rate three times higher than single-channel campaigns. The data comes from 5 of Konvertia's own test campaigns.
Why does it work? The recipient sees your brand in two places, at coordinated times. The context of a LinkedIn message strengthens the cold email, and the other way round. It is a synergy effect, not simple addition.
Conclusions
A buying signal plus personalisation produced over 20 meetings from 800 prospects, but it only works when the data about the recipient is right.
- Timing matters. Writing to people who were active on the subject gave us a 14% reply rate against the 3 to 5% typical for the market.
- Follow-ups are not optional. Emails 2 and 3 produced half of all replies.
- Research errors cost you. A few people pointed out the wrong industry, an outdated team size or "artificial" language. We have fixed that since. To see what it would look like for your own company, get in touch.
Source: Konvertia's own data from an outbound campaign run from 19 May to 2 June 2026.