How Starify went from zero cold-email replies to a 20% reply rate

Results at a glance

• 20% average reply rate (from 0% on cold email)
• 55% connection acceptance (above the commonly cited ~30% benchmark)
• 2x LinkedIn impressions (from AI build-in-public posts)
• 1 week to first results (after switching to Dreamstate)

About Starify

Starify is the operational standard for consistent hospitality performance. It makes front-of-house guest interactions measurable and automatically reinforces service standards, so multi-unit restaurants, hospitality groups, and hotels deliver the same quality at every location instead of relying on individual staff.

Like most early-stage companies, Starify's growth started with the founder. The product solved a real, expensive problem, but the buyers, busy operators running five or more locations, had no idea it existed.

The challenge: even an untapped market ignored cold email

The first attempt at outbound was cold email. On paper it should have worked. Hospitality is an untapped market for software outreach, less saturated than tech, with owners who rarely get pitched a tool like this. The expectation was that a clear message into a quiet inbox would land.

It did not. Replies came back at effectively zero. Multi-unit operators live on the floor, not in their inbox, and a cold email from an unknown sender never made it into their day. Worse, there was nothing to learn from: no opens worth trusting, no replies, no signal about whether the targeting or the message was the problem.

There was a second gap. The founder knew he should have a presence where these buyers actually spend time, but he had never posted consistently. Writing content on a schedule while running a company always lost to something more urgent.

The switch: warm outreach that reaches owners already in motion

Dreamstate rebuilt the motion around where hospitality decision-makers already pay attention: LinkedIn. Instead of cold email into a dead inbox, it ran warm LinkedIn outreach that started from real signal.

• Signal-based targeting that surfaced hospitality owners already engaging with relevant content, not a scraped list.
• Connection requests and messages matched to the founder's voice, so the first touch read like a person.
• Reach-outs timed to land after a prospect had already seen the category and the solution, so the conversation started warm.
• Safe, human pacing and a single inbox, so no warm reply slipped through.

Because the outreach reached owners who had already engaged with the topic, the first message was never truly cold. People who would have deleted an email replied on LinkedIn.

Result: from 0% replies to a 20% reply rate and 55% acceptance

Within the first week, the numbers told the story. More than half of the hospitality owners Starify reached out to accepted the connection, a 55% acceptance rate against a commonly cited LinkedIn benchmark closer to 30%. Around one in five replied, a 20% reply rate on a channel where cold email had produced none.

For a founder, those two numbers change the math of the day. Outreach stopped being a coin flip and became a dependable source of conversations with exactly the operators Starify is built for.

Inbound, for the first time, turned into a distribution system

The content engine changed the game a second time. Dreamstate read Starify's site, learned the product and the founder's voice, and wrote posts for him to approve. For the first time ever, the founder started receiving inbound: hospitality operators reacting to and commenting on his posts.

Instead of letting that attention evaporate, Dreamstate connected it to the outbound motion. Every person who engaged with a post flowed into a sequence that turned a like or a comment into a conversation, and a conversation into pipeline.

That is the difference between posting and distribution. The posts created demand and the sequence captured it, so attention compounded into a repeatable system instead of a vanity metric.

Result: a distribution system, not just posts

The founder's LinkedIn impressions doubled, putting Starify in front of twice as many of the right operators. The bigger win was structural: for the first time, one system generated attention, captured it, and routed it into pipeline on its own.

Outbound reached owners already in motion, content produced inbound, and a sequence tied both into the same pipeline. Starify did not just get more posts and more replies. It got a distribution system.

Dreamstate rebuilt it within a week, not weeks. We sell into hotels and hospitality, where cold email got us nothing. Within days we were running warm LinkedIn outreach at a 20% reply rate, and for the first time I was getting inbound from my own posts. Now every person who engages flows into a sequence and into pipeline. It is a real distribution system.

Luis Figueroa, Founder, Starify

Key takeaways

• In hospitality, a market where cold email looked like it should still work, it returned zero replies. Warm LinkedIn outreach reached owners already engaging with relevant content and hit a 20% reply rate with 55% acceptance in the first week.
• Dreamstate wrote the founder's posts and, for the first time, those posts produced inbound. A sequence then routed every engager into pipeline, turning content into a real distribution system.
• Outbound and content ran from one system, so Starify got a repeatable growth motion, not just more activity.

Frequently asked questions

What is Starify?

Starify is the operational standard for consistent hospitality performance. It makes front-of-house guest interactions measurable and reinforces service standards for multi-unit restaurants, hospitality groups, and hotels.

What results did Starify get with Dreamstate?

Starify went from zero replies on cold email to a 20% reply rate and a 55% connection acceptance rate on LinkedIn within a week, doubled the founder's impressions, and for the first time turned inbound from his posts into pipeline through a sequence.

Why did cold email fail for Starify even in an untapped market?

Multi-unit hospitality operators work on the floor, not in their inbox, so cold email went unread. Warm LinkedIn outreach reached owners who had already engaged with relevant content, so the first touch was already warm and replies followed.

How did Starify turn content into pipeline?

Dreamstate wrote posts in the founder's voice that produced inbound for the first time, then connected every person who engaged into a sequence that moved likes and comments into conversations and pipeline, building a real distribution system.

Are these results typical?

Results vary by company, market, and starting point. Starify's numbers reflect its own outbound and content in its first weeks on Dreamstate and are shared as one customer's experience, not a guarantee.