Case studies

    Systems that keep working after we leave.

    Every engagement is measured on verified revenue outcomes. Here's what the systems have produced.

    Featured · Growth Capital Allocation System

    From budget-by-habit to a ranked, rules-based allocation system.

    A mid-market ecommerce operator was investing across SEO, paid, and CRO with no framework for ranking initiatives. We built the allocation model, installed attribution before deploying a dollar, and codified cut/scale rules the team now runs without us.

    2.7×
    ROAS improvement after cut/scale rules were enforced
    34%
    Ad spend recovered from campaigns that looked fine on dashboards
    28
    Initiatives evaluated; 3 funded on expected return
    100%
    Systems owned and operated by the client's team

    What the systems produce

    Each AI system is built for one growth area, runs in the client's accounts, and is operated by their team.

    Keyword Intelligence System
    2 weeks

    vs. 9–12 months of manual research

    Maps every product in the catalog to the searches it should rank for. A footwear brand with 180+ products went from an impossible manual research backlog to full keyword coverage, with their own team running it.

    Footwear brand · 180+ products

    Ad Spend Monitoring System
    ~1/3

    of ad spend recovered on average

    Checks every campaign against profit thresholds daily and flags where to cut and where to double down, before a bad month becomes a bad quarter. Exposes ads taking credit for sales that would happen anyway.

    Average across paid-media engagements

    Bundle Logic System
    +28%

    average order value lift

    Learns which products sell together and builds the offers automatically. For one home goods brand, that raised average order size 28%: about $800K a year in projected new revenue from traffic they already owned.

    Home goods brand

    Results reflect individual client engagements; outcomes depend on baseline economics and are verified against contractually defined baselines.

    System library

    More workflows built to run without us.

    These are examples of the workflow infrastructure Brandlark designs, validates, and hands off to client teams. They are system examples, not additional client case-study claims.

    AI Schema and Hreflang Generator workflow diagram

    AI Schema + Hreflang Generator

    Extracts structured content, validates schema, and routes approved markup for publishing.

    AI Outreach Engine workflow diagram

    AI Outreach Engine

    Researches prospects, verifies evidence, and turns approved findings into governed outreach.

    Your store's version of these numbers starts with a Blueprint.

    A 2–4 week diagnostic that finds your highest-return opportunity and what it's worth, before you commit to anything ongoing.