Case study / Group experiences marketplace

How we helped batch close $200K+ in 3 months

A group celebration planning marketplace connecting party planners with restaurants, experiences, and accommodations. $200K+ closed in three months, 8X ROI.

Apply for a free pilot

2:08

"Everything about the experience is definitely worth giving them a shot."

Jacob Spencer VP of Sales, batch

$0 In closed deals

0 Meetings · 3 months

0 Return on investment

A group celebration planning marketplace where users plan, book and split costs on group experiences across the U.S.

Industry

Marketplace / Consumer Tech

Headquarters

United States

Company size

50 to 200 employees

// The challenge

A Series B with a sales team and no outbound engine.

batch had just raised their Series B and needed to bring high-quality restaurants, experiences and accommodations onto the marketplace fast. Their sales team was capable, but they had no automated way to source the right partners at scale.

Outbound was fully manual

batch had a strong sales team, but every account they reached out to was prospected and contacted by hand. Costly, slow, and impossible to scale across cities.

Series B pressure on pipeline

Fresh funding meant a clear mandate: generate pipeline quickly. Building outbound infrastructure in-house would have taken months they did not have.

Qualifying partners was hard

Not every restaurant, experience or accommodation made sense for the marketplace. batch needed partners large enough, well-reviewed enough, and with the budget to invest in marketing.

// The approach

Three verticals. One marketplace.

A precision outbound engine targeting restaurants, experiences and accommodations across batch's priority party cities, with every lead pre-qualified before a single message went out.

// 01

Setup & deliverability

Multi-mailbox sending stack across Google Workspace and Outlook
Hyper-precise volume: 400 emails per day, not 4,000
Domain warm-up, SPF, DKIM and DMARC configured per sending domain
Daily inbox placement monitoring across seed accounts

// 02

Data & targeting

Serper.dev scraping Google Maps across three verticals: restaurants, experiences, accommodations
Clay enrichment to qualify every account before contact
Marketing-spend signals to identify partners already investing in ads
Reviews and ratings filter to keep only partners batch would actually recommend

// 03

Messaging & personalization

Vertical-specific copy: separate angles for restaurants, experiences and accommodations
Geo-targeted messaging tied to batch's priority cities
Light touch first message, value-led follow-ups
Weekly iteration on reply rate, with underperforming variants killed inside 14 days

// The results

A reply rate most teams would call a typo.

Three months of compounding outbound across three verticals, with every metric well above industry benchmarks.

In closed deals

Meetings booked

Return on investment

Average reply rate

Emails sent per day (volume kept low)

Verticals targeted in parallel

// The outcome

From manual prospecting to a pipeline machine.

Three months in, batch had a repeatable outbound channel humming alongside their sales team.

Over $200,000 in new closed revenue from outbound alone
134 qualified meetings booked across restaurants, experiences and accommodations
An 8X return on investment on the program
A 9% average reply rate, sustained across all three verticals
A repeatable enrichment workflow batch's team now owns
Sales reps freed from manual prospecting and put back on closing

// Key takeaways

What made this work.

// 01

Precision beat volume

batch did not need 4,000 emails a day. 400 hyper-qualified ones outperformed because every account was pre-vetted against marketing spend, ratings and fit.

// 02

Product-market fit shows up in replies

The businesses we contacted actually wanted what batch was selling, because batch built the product for exactly them. A 9% reply rate is what that looks like.

// 03

Three verticals, one infrastructure

One outbound stack ran in parallel across restaurants, experiences and accommodations. Same data layer, vertical-specific copy. Easy to scale, easy to iterate.

// Apply for a free pilot

Want results like these?

We run a 10 day free pilot. We do a focused first campaign to your ICP before you pay a cent.

Apply for a free pilot See more case studies