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    GOcxmCase Study · Brand Anonymized

    How A leading CPG brand Built a Continuous Improvement Engine for Retail Execution

    A leading CPG brand|Retail Execution

    +184%

    Submission Growth

    +20%

    Approval Rate Improvement

    +222%

    Avg Entries Growth

    +205%

    Store Penetration Growth

    Industry Context

    Execution Visibility

    35–50%

    of in-store displays and promotions often go unverified, leaving brands without clear insight into what's happening in store.

    Sources: POI, Gartner

    Trade Promotion Returns

    50–70%

    of trade promotions don't deliver expected returns, representing significant untapped potential across the industry.

    Sources: Nielsen, BCG

    For even the most successful and operationally mature brands, this visibility gap creates a blind spot. Decisions about what's working in the store are often based on incomplete data, delayed reporting, or assumptions rather than evidence.

    Executive Summary

    A leading CPG brand deployed GOcxm's retail execution platform across numerous consecutive field programs involving hundreds of reps nationwide. With real-time, photo-verified visibility and AI-driven compliance analysis, each program built on the last, driving a 20% improvement in approval rates, 205% growth in store penetration, and measurable gains in field team output.

    The Opportunity

    The brand's field organization is one of the most mature in CPG. With strong existing processes, the team saw an opportunity to unlock an entirely new level of execution intelligence:

    • Instant, Actionable Dashboards: Replace hours of manual data synthesis with real-time reporting that surfaces execution gaps as they happen, enabling faster decisions at every level of the organization.
    • AI-Verified Compliance at Scale: By adding visual evidence and AI-powered photo adjudication, A leading CPG brand could verify execution compliance nationally with a level of consistency and speed that manual audits couldn't match.
    • A Continuous Improvement Baseline: The first program established a measurable starting point, a ~70% approval rate, giving the team a clear foundation to build from. Each subsequent program compounded on the last.

    The value was apparent almost immediately. Managers could see store gaps in real time and act on them, accelerating buy-in at every level.

    The Results

    Here's what that progression looked like across every program.

    Program 1 vs. Program 7: The Progression

    Each successive program built on the last. Reps embraced the process. Managers used the data to coach. Regional leaders benchmarked performance across banners and operating units. The result: a continuously improving culture of execution.

    Program-by-Program Progression

    Every metric improved as the field team built trust in the platform and the process.

    Scroll

    ProgramParticipationApproval %Avg Entries vs BaselinePenetration vs Baseline
    Program 1Baseline92.3%69.7%1.0×1.0×
    Program 298.7%83.3%1.4×1.9×
    Program 399.8%87.8%2.4×2.3×
    Program 498.2%87.2%2.2×2.1×
    Program 598.9%87.6%2.1×2.1×
    Program 6100%87.9%2.8×2.9×
    Program 7Latest100%90.4%3.2×3.1×
    Change+20%+222%+205%

    The 80/20 Rule

    Most field organizations follow a familiar pattern: the top 20% of reps consistently deliver more than their fair share of results, and the remaining 80% represent huge untapped potential. The real opportunity isn't optimizing those who are already performing, it's systematically building capability for the 80%.

    The 80% Is Where the Opportunity Lives

    The top 20% are already delivering and will continue to do so regardless of the programs you run. The platform's real impact is lifting everyone else. As a result of running the programs with GOcxm, the share of total submissions from the 80% grew from 47% to 62%.

    Program 1

    Top 20%
    53%
    Bottom 80%
    47%

    Program 7

    Top 20%
    38%
    Bottom 80%
    62%

    Team-Wide Performance Growth

    Classifying reps into performance quadrants based on both submission volume and approval quality reveals the full scope of the progression.

    Rep Performance Migration

    Reps shifted dramatically from emerging to high-performance quadrants between Program 1 and Program 6.

    High Performance

    High volume, high quality

    4%44%
    Prog 1
    Prog 6

    Low Performance

    Low volume, low quality

    55%13%
    Prog 1
    Prog 6

    Why This Matters

    This case study isn't just about one brand's results. It's a blueprint for any field organization looking to move from periodic audits to always-on execution visibility.

    • Platform adoption compounds over time. Start with a baseline and build from there.
    • The biggest performance gains come from lifting the middle and bottom of the team, not just optimizing top performers.
    • Real-time visibility accelerates buy-in and creates a shared language for improvement across every level.

    Start Building Your Execution Baseline

    Visibility is the first step. See what deeper insights could look like for your team.

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