The Problem

An enterprise AI company in the sports media space had a genuinely differentiated product and a warm addressable market — broadcasters, sports federations, and media rights holders who were already feeling the pressure to do more with their content libraries. But despite strong inbound interest, deals were stalling. Prospects would engage once, download something, attend a demo, and then drift. The sales cycle was long, the buying committee was wide, and there was no structured content system keeping the brand present and credible throughout.

Pipeline was being built but not moved. The team had leads — they didn't have momentum.

The Insight

The core issue wasn't awareness or even intent. It was that different leads were arriving at different temperatures and with different contexts, and they were all being handled the same way. A prospect who had just raised their hand through a paid LinkedIn ad needed a different conversation than someone who had already attended a demo but hadn't booked a follow-up. Treating them identically meant most of them received messaging that felt either too early or too late.

The second insight was about content specificity. Enterprise buyers in sports media don't respond to generic AI narratives — they respond to proof that the product understands their world. A football broadcaster wants to know what AI means for football content revenue, specifically.

A case study about video moderation lands differently when it's framed around archived sports footage rather than a generic media use case. The content needed to earn its place in the conversation by being relevant enough to feel like it was written for the reader. The strategy, then, was to build a funnel that separated active MQL-qualified leads from passive content-driven leads, and delivered a segmented drip journey to each — branching based on engagement signals at every step.

The Solution

A full multichannel ABM drip architecture was built across two lead tracks. Active MQLs — those arriving through demo ads or direct outreach — were entered into a high-intent sequence focused on getting a demo scheduled, with branches handling non-responses and re-engagement through capability-led emails. Passive leads — those arriving through gated assets like sport-specific case studies or whitepapers — were nurtured through a longer awareness-to-consideration arc, with content mapped to use cases and CTAs calibrated to their stage.

Every email or ad in the sequence was written with a specific job to do: introduce a use case, overcome a specific objection, or move the reader one step closer to a conversation. Gated assets including a sport-specific case study and a product datasheet were created to serve as mid-funnel anchors. Segmentation logic split readers at each stage based on open and engagement behaviour, routing active readers toward demo conversion and inactive ones into re-engagement flows before exiting the workflow.

The Results

Within the first quarter of the sequences being live, demo bookings from nurtured leads increased by 38%. The passive lead track — previously a dead end of one-time downloads — began converting into qualified pipeline at a measurable rate, with 22% of engaged leads progressing to a demo request within 30 days. Sales conversations improved in quality too, with prospects arriving better informed and more specific in their questions. The infrastructure also gave the team its first real view of where leads were dropping off — and why — creating a feedback loop that continued to improve conversion well beyond the initial build.