The Situation

Gov+ operates a subscription platform designed to simplify access to government services. Meta Ads were active and generating traffic, but performance lacked stability and cost efficiency.

Prospecting campaigns were optimized for Purchases, asking cold audiences to complete the highest-friction action immediately. The result was weak signal density and inefficient delivery.

• CPA hovering around $1,000
• Leads costing roughly $28
• Retargeting carrying the majority of conversions
• Limited algorithm learning due to low event volume

Spend was consistent. Performance was not compounding with it.

Key Outcomes

• 81% reduction in CPA, from ~$1,000 to $191
• 87% reduction in CPL, from ~$28 to $3 to $4
• Lead volume increased while costs dropped
• Restructure executed within 7 days under live campaign conditions

The Primary Challenge

The account architecture was forcing prospecting to do too much.

Cold traffic was being optimized for purchase events, the highest-friction action in the funnel. This constrained delivery and prevented the algorithm from stabilizing. With limited event volume at the top of the funnel, learning cycles remained shallow and CPAs volatile.

The constraint was structural, not creative.

The Goal

Reduce acquisition costs without increasing spend, while rebuilding the account for predictable scale.

Our Strategy

We rebuilt the account around three structural principles:

• Separate acquisition from conversion
• Optimize for signal density before optimizing for revenue
• Sequence the funnel instead of compressing it

Prospecting qualifies. Retargeting closes.

Execution Highlights

Optimization Event Realignment

Prospecting campaigns were shifted from Purchase optimization to Lead optimization. This increased event volume and gave the algorithm enough signal to stabilize delivery.

Campaign Architecture Rebuild

The account was restructured to eliminate internal competition and clarify campaign roles. Prospecting and retargeting were segmented cleanly to prevent overlap and signal distortion.

Retargeting Consolidation

Retargeting was simplified into a scalable system focused on converting high-intent users instead of competing for cold traffic.

Controlled Creative Testing

Creative testing continued, structured to produce signal rather than noise. Creative quality and offer framing remained meaningful variables, particularly at the retargeting stage. Testing supported the structure rather than undermining it.

Results (Within 7 Days)

• 81% Reduction in CPA from ~$1,000 to $191
• 87% Reduction in CPL* from ~$28 to $3-$4
• Lead volume increased while costs dropped
• Retargeting established as the primary purchase driver

These results reflect the initial 7-day period following the restructure. Early performance after structural changes can include temporary effects as campaigns exit learning and retargeting works through existing audience intent. The efficiency gains held through the observation window and positioned the account for more stable performance going forward.

*CPL is measured against the Lead optimization event introduced during the restructure. This reflects a change in the tracked event, not a direct comparison to the prior CPL figure, which was measured against a different funnel stage. Both figures are included to illustrate the shift in funnel sequencing.

Constraints We Navigated

The restructure happened under live conditions:

• Active campaigns mid-flight during restructuring
• Funnel components rolling out in parallel
• Temporary performance turbulence during structural shifts

Despite these constraints, the efficiency gains held.

Why This Worked

The leverage point was the optimization event itself.

When prospecting was optimized for Purchase, the algorithm had almost nothing to learn from. Cold audiences rarely buy on first exposure, so event volume stayed thin and delivery never stabilized. Shifting prospecting to Lead optimization changed what the algorithm was learning against. Event volume increased, delivery patterns sharpened, and the audiences feeding retargeting became measurably higher quality.

That single architectural decision is what allowed retargeting to do its actual job. Cold traffic wasn’t being asked to convert anymore. It was being asked to qualify. Conversion happened where conversion belongs, against warm audiences with established intent.

Strategic Takeaway

When acquisition costs are high, the instinct is to adjust creative. Often, the more important lever is structure.

Align optimization events with user intent. Separate funnel stages clearly. Give the algorithm enough signal before expecting it to drive revenue. Creative still matters, but it performs best when the underlying architecture gives it room to work.

Architecture drives efficiency. Spend follows structure.