Drew Martinez.
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Demand Generation · Case Study

The Precision
Pivot

Revenue is not a volume game. Trading broad reach for deep resonance with accounts already close to a decision.

Role
Digital Strategy & Demand Generation
Scope
Audit, segmentation, creative direction, budget reallocation
Channels
LinkedIn, paid search, retargeting
$388M+Total pipeline
value influenced
44xROAS across optimized
marketing spend
29%High-intent accounts advanced
into final buying stages
99%Seniority reach
C-Suite, VPs, Directors

01

Inefficiency in
the wide net.

Digital performance was hindered by broad audience segments, which led to budget leakage and low-intent traffic.

  • 01

    Channel fatigue. Formats like LinkedIn Message Ads consumed budget without delivering qualified leads for specialized segments, and were paused in June.

  • 02

    Diluted messaging. Broad campaigns failed to resonate with high-level decision makers, producing high impression counts but stagnant buying stage movement.

The goal was to move the organization off volume-based marketing and onto a precision model that prioritizes account progression over clicks.

Revenue is not a volume game. It is a precision game.

02

Transitioning to a
precision-first model.

A stage-based account framework, focusing budget and creative energy where the probability of conversion was highest.

  • 1. Diagnostic optimization

    A systematic audit of Q2 performance to identify leakage. Documenting the failure of specific formats in competitive segments established data-backed thresholds for reallocating budget into high-intent search and retargeting layers.

  • 2. Intent-driven segmentation

    The "Powering Change" initiative narrowed to 204 high-intent accounts already sitting in the Decision and Purchase stages, so spend concentrated on accounts nearing a final buying decision.

  • 3. Seniority-specific creative

    Deployment of the "Provocative Truth" concept. Data-driven, challenging creative pierced the noise of the executive suite and drove the highest resonance among senior leadership.

03

Proof of concept:
Powering Change.

A significant lift in both technical engagement and account maturity.

MetricResultStrategic insight
Account CTR 39.64% Retargeting-first approach outperformed the general benchmark of 14.78% by 2.6x.
Peak CTR 0.05% Seniority-based creative achieved its highest resonance with VP-level stakeholders.
Seniority reach 99% Impressions concentrated almost entirely on the core buying committee.
Buying stage movement 29% 63 targeted accounts progressed positively through buying stages within 90 days.

04

Scaling the
revenue engine.

The precision-first model became the revenue blueprint for the organization's growth.

Before · volume model

Targeting

Broad segments

Targeting

204 high-intent accounts

Return on ad spend

Baseline

Return on ad spend

44x

Influenced pipeline

Not tracked to account

Influenced pipeline

$388,077,536

Q4 execution efficiency

Prior-year baseline

Q4 execution efficiency

59% higher

Total influenced pipeline reached $388,077,536 across five key service lines. By establishing a learning engine in Q2, the team executed Q4 campaigns with 59% higher efficiency than the previous year.

On attribution: influenced pipeline counts opportunities the program touched, not revenue it alone produced. Worth stating that distinction out loud in an interview, because a sharp CMO will ask.