How Kept’s 2-Person Team Turned Outreach Into 40-Customer/Month Engine

20 %

LinkedIn reply rate

100 %

Automated process

Kept.io

Kept.io

Health and Human Services
Company

By automating outreach and combining email with LinkedIn, Kept.io turned a slow process into a predictable growth engine. The result: more replies, more demos, and a steady stream of new customers each month.

Kept.io
Industry

Health and Human Services

Kept.io Kept.io

Founder @ Kept, Benefits & Insurance Wonk

Mission and vision for next horizon products in the health and insurance space. Responsible for policy and advocacy efforts in health. As a best-in-class COBRA administrator, they leverage their attorneys and brokers to provide advanced support for employers and employees. But they take it a big step further than just that. Their compassionate and supportive service keeps departing employees from feeling abandoned during a disruptive time in their lives.

Kept helps companies take care of employees during offboarding. From compliance to job search support, they make a hard moment easier for both HR teams and employees.

But like many early-stage companies, growth depended on outreach. And outreach was slow.

Everything was manual. Finding contacts, writing messages, and sending emails took hours. Scaling felt out of reach.

That changed when Kept started using Reply.io.

By automating outreach and combining email with LinkedIn, they turned a slow process into a predictable growth engine. The result: more replies, more demos, and a steady stream of new customers each month.

Challenge

Before using Reply, Kept’s outreach process was fully manual.

They searched for leads on LinkedIn and websites, copied data into spreadsheets, and sent messages one by one. Every step took time. Every step depended on human effort.

This created three major problems.

First, personalization was hard.

When you send messages manually at scale, they start to sound the same. Kept wanted their outreach to feel human and relevant, but doing that consistently was difficult. Writing each message from scratch slowed them down. Reusing messages made them feel repetitive.

Second, finding accurate contact data was time-consuming.

The team had to verify emails, check LinkedIn profiles, and make sure they were reaching the right people. This wasn’t just tedious but limited how many people they could contact in a day.

Third, scaling was almost impossible.

With manual workflows, there’s a hard limit. More outreach means more hours. More hours means more people.

But Kept didn’t want to grow headcount just to send more emails.

They were stuck in a loop:

  • Spend hours on research
  • Send a limited number of messages
  • Get limited results

Even when something worked, they couldn’t easily repeat or scale it.

Their results reflected this.

Email response rates were below 1%. LinkedIn performed better at around 7–8% but still required manual effort.

They knew outbound could work. They just didn’t have the system to make it efficient.

At that point, it was clear: to grow faster, they needed a way to automate outreach without losing the human touch.

With manual workflows, there’s a hard limit. More outreach means more hours. More hours means more people.

Solution

Kept chose Reply to solve one core problem: scaling outreach without adding more manual work.

They started by moving their process out of spreadsheets and into a structured system.

Instead of sending messages one by one, they built sequences that combined email and LinkedIn. This enabled reaching prospects across multiple channels, without switching tools or repeating work.

LinkedIn became a key part of their strategy.

Their audience is highly active, so having strong LinkedIn automation was critical. With Reply, they could:

  • Send connection requests at scale
  • Follow up automatically
  • Combine LinkedIn with email touchpoints

This multi-channel approach increased their chances of getting a response.

Another big improvement was the inbox.

Before, conversations were scattered across email and LinkedIn. Now, all replies were in one place. It became easier to track conversations, respond faster, and avoid missed opportunities.

Reply also helped simplify their workflow.

Instead of juggling multiple tools, Kept used Reply as their main outreach platform, alongside LinkedIn Sales Navigator and a data enrichment tool. This reduced complexity and saved time.

Even though there was a learning curve, the team was able to launch the first campaigns within about a month. Once set up, the system started to run consistently.

The personalization was kept simple.

Rather than relying on complex AI-generated text, they used standard variables to keep messages clear and relevant. This approach allowed staying efficient while still sounding human.

In short, Reply gave Kept three things they didn’t have before:

  • A way to scale outreach
  • A system to manage conversations
  • A repeatable process for growth

Outcome

The impact was clear and measurable.

The first big change was in response rates.

Metric Before Reply After Reply
Email response rate <1% Not primary channel
LinkedIn response rate 7–8% Up to ~20%
Outreach process Fully manual Automated
Team size 2 people 2 people
New customers/month ~0–20 total +20–40/month

That’s more than double their previous performance on LinkedIn.

But better response rates were just the start.

The real impact showed up in business growth.

With a more efficient outreach system, Kept started booking more demos. More conversations led to more customers.

They went from having around 20 customers to adding 20–40 new customers every month.

And it was done without increasing headcount.

That’s a key point.

Instead of hiring more people to send more messages, they used automation to do more with the same team. This improved productivity and kept costs under control.

The outreach also became more consistent. 

Before, results depended on how much manual work they could handle. Now, campaigns run continuously. As a result, a steady flow of leads instead of unpredictable spikes.

Another important outcome was better focus.

By removing manual tasks like data entry and message sending, the team could spend more time on high-value work:

  • Talking to prospects
  • Running demos
  • Closing deals

In other words, they shifted from doing outreach to benefiting from it.

Overall, Reply didn’t just improve one metric. It changed how Kept approaches growth:

  • Higher response rates
  • More demos booked
  • Faster customer growth
  • No need to scale the team

We went from having around 20 customers to adding 20–40 new customers every month.

Kept.io, Health and Human Services

The system that keeps working

Kept’s story is simple.

Manual outreach slowed them down. Automation helped them grow.

By using Reply to combine email and LinkedIn, they built a system that works at scale. They reached more people, started more conversations, and turned outreach into a steady source of new customers.

The biggest win wasn’t just better metrics.

It was control.

Instead of guessing what would work, Kept now have a repeatable process to rely on, one that keeps delivering results as they grow.

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