GDIT: Demand Gen After a Rebrand

GDIT had a clear vision after its rebrand. What it didn't have was a system to carry AI, Cloud, and Cyber to market and connect capabilities with buyer needs.

Client

GDIT

Role

Media Strategy, Media Planning, Buying & Optimization

Paid Media Campaign

Key Takeaway

A rebrand gives you the story. A demand gen framework gives you the engine. By linking audience strategy, messaging, and paid media into a coordinated system across LinkedIn, X, Facebook, and Outbrain, we drove +397% CTR on X, +300% CTR on LinkedIn, and +512% email lead capture year-over-year.

Context

Clear vision, missing system.

After a major rebrand, GDIT had something most companies at that stage don't: clarity about what they offered. AI, Cloud, Cyber. The service offerings were defined. The positioning was strong.

What was missing was the system to carry all of it to market. A rebrand can reset perception and signal ambition. What it can't do is create traction on its own. Without a structured way to test, learn, and adapt in-market, even the best positioning stalls.

Approach

Why positioning needs a delivery system.

One story doesn't fit three buyers

AI, Cloud, and Cyber each had distinct audiences with different proof points. A single campaign message couldn't serve all three. The approach required modular playbooks that translated each capability's value proposition into specific messages for specific buyers at specific stages.

One story doesn't fit three buyers

A structured testing framework

Without validated market signal, every media dollar is a guess. We designed a structured testing framework that could validate creative, audience segments, and channels in-market, then reallocate based on what the data showed, not what the brief assumed.

A structured testing framework

Channel roles, not channel lists

Adding platforms doesn't add value if they're all running the same thing. Each channel needed a defined role: LinkedIn for precision targeting, X reached buyers outside their LinkedIn feed, Facebook for extended audience, Outbrain for content engagement. Each with clear KPIs and criteria for scale or cut.

Channel roles, not channel lists

Solution

Linking positioning to media with a feedback loop in between.

Modular playbooks by capability

We created playbooks for AI, Cloud, and Cyber that clarified the value proposition and matched content to buyer intent. Each playbook translated positioning into specific messages for specific audiences at specific stages.

Modular playbooks by capability

Test-and-learn campaign structure

We activated a structured testing program: validating creative formats, audience segments, and channels in-market, then reallocating spend based on signal. What worked got scaled. What didn't got retired.

Test-and-learn campaign structure

Cross-channel orchestration

LinkedIn carried precision targeting. X reached buyers in a different context. Facebook extended reach. Outbrain drove content engagement. Each channel had a defined role, defined KPIs, and defined criteria for when to scale or cut.

Cross-channel orchestration

Framework as operating model

The modular playbook structure gave GDIT's internal teams a shared language for how demand gen connected to their capability areas. The framework outlasted the campaign and became how the team planned going forward.