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SaaS / Software

B2B Revenue Analytics SaaS Platform

104 Meetings Booked Total

Over six months, SalesHive built and executed a full outbound motion for a B2B revenue analytics SaaS startup that had previously struggled to generate predictable pipeline. By combining AI-personalized email outreach, targeted cold calling, and a custom sales playbook, SalesHive booked 104 meetings with qualified sales and RevOps leaders and generated $1.6M in new pipeline. This allowed the client to shift from ad-hoc founder-led selling to a scalable, data-driven outbound engine.

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Company size
22 Employees
Company type
SaaS Platform
Headquarters
Denver, CO
Timeframe
6 Months
Channels
Email, Phone
0
Meetings Booked Total
0
Sales Qualified Opportunities Created
$0.0M
New Pipeline Generated (USD)
0
Pages in Custom Sales Playbook
The challenge

Where they started

Before working with SalesHive, our client was relying on founder-led sales and a trickle of inbound trials, which wasn’t enough pipeline to support their fundraising and growth goals. Their technical, data-heavy product was hard to explain cold, and past attempts at outbound produced low reply rates and unqualified demos. With no in-house SDR team and limited brand recognition in a crowded SaaS market, they struggled to consistently get in front of VP-level sales and RevOps leaders across their ideal customer profile.

What we did

How SalesHive built the outbound engine

A managed program run on our own platform, tuned every week by a dedicated strategist.

01

Conducted a deep discovery process and built a 30+ page custom sales playbook that defined ICP tiers, key use cases, competitive positioning, and persona-specific messaging for CROs, VPs of Sales, and Revenue Operations leaders.

02

Compiled and validated a targeted TAM using premium data providers, focusing on B2B SaaS and technology companies with 50-500 employees and building contact lists with verified emails and direct dials for decision makers and key influencers.

03

Launched AI-powered email outreach with SalesHive’s eMod personalization engine, rewriting core templates as 1:1 messages, combined with domain warming and deliverability optimization to keep campaigns out of spam and in primary inboxes.

04

Deployed a dedicated US-based SDR to run high-volume cold calling (150+ targeted dials per day), using customized talk tracks to quickly surface pains around forecast accuracy and pipeline visibility and then live-booking meetings onto the client’s AE calendars.

05

Implemented weekly optimization loops with the SalesHive strategist, A/B testing subject lines and value props, reallocating effort to the highest-converting segments, and layering in re-engagement sequences for warm but unresponsive prospects to steadily lift meeting and SQL conversion rates.

The timeline

From kickoff to compounding pipeline

Weeks 1-2

Phase 1: Discovery & Setup

In-depth discovery with founders, ICP definition, TAM building, custom 30+ page playbook creation, message frameworks, and campaign infrastructure setup (domains, tracking, CRM integrations).

Weeks 3-8

Phase 2: Initial Outreach

Launched AI-personalized email sequences and targeted cold calling, began booking initial discovery meetings, gathered qualitative feedback from prospects, and refined talk tracks and objection handling.

Months 3-6

Phase 3: Optimization

Scaled calling and email volume to the best-performing ICP segments, iterated on copy via continuous A/B testing, tightened qualification criteria, and layered in re-engagement and follow-up cadences to maximize meetings and SQL conversion.

The results

What it added up to

  • Booked 104 meetings with VP- and Director-level decision makers at target B2B SaaS and technology companies in six months.
  • Created 47 sales-qualified opportunities and over $1.6M in new pipeline directly attributed to SalesHive-managed email and phone outreach.
  • Increased outbound-sourced pipeline from 8% to 42% of total pipeline, helping the startup hit key revenue milestones ahead of their next funding round.
SalesHive felt like an extension of our own team. In just a few months they built us a real outbound engine, packed our AEs' calendars with qualified demos, and gave us the data and process we needed to confidently scale revenue.
B2B Revenue Analytics SaaS Platform
VP of Sales

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