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G30CONTENT

Ad copy generation and variant testing

For firms running paid acquisition, generates ad copy variants for different audience segments, channels, and angles — then watches performance and continuously feeds back into what works. Different from generic ad-generators in that the pattern grounds variants on the firm's actual messaging principles and approved claims library, refuses to make claims it can't substantiate, and tracks performance back to inform future variants. Humans approve every variant before it goes live. The pattern's value is letting marketing teams test more angles more often without each test consuming hours of copywriting time.

WHERE THIS FITS
BUSINESS SHAPES
Product companyDirect-to-consumerB2B services
VOLUME THRESHOLD
Below 10 ad variants active at once a month, the payback rarely earns the build. Patterns this shape reliably pay back at 100+.
REQUIREMENTS · 7 REQUIRED

Requirements describe capabilities the pattern needs in your environment, not the vendors you must buy. Any system that fills a requirement satisfies it — that’s what makes the catalog portable across the long tail of SMB tooling.

  1. campaign_brief_intake
    REQUIREDREADhuman

    Where ad campaigns originate with audience, channel, goal, budget.

    DATA SHAPE
    Per-campaign: target audience, channel, format constraints, key messages, CTA, budget, goal metric.
    COMMONLY FILLED BY
    • campaign planning tool
    • structured brief authored by marketing
    • campaign intake form
  2. approved_claims_library
    REQUIREDREADcorpus

    What the firm is allowed to say. Legal-reviewed claims with evidence, plus banned-language list.

    DATA SHAPE
    Per-claim: text, evidence link, approval status, expiry, audience or channel restrictions.
    COMMONLY FILLED BY
    • claims library maintained by marketing and legal
    • structured approved-language repository
    • compliance-reviewed messaging matrix
  3. voice_and_style_guide
    REQUIREDREADcorpus

    Brand voice principles applied to ad copy specifically.

    DATA SHAPE
    Style rules with format-specific guidance (headline vs body, short-form vs long-form), tone-by-audience adjustments.
    COMMONLY FILLED BY
    • ad-specific section of the brand style guide
    • structured rules co-authored with marketing leadership
    • examples library of approved past copy
  4. channel_specifications
    REQUIREDREADcorpus

    Per-channel constraints: character limits, image requirements, prohibited content, format conventions.

    DATA SHAPE
    Per-channel: technical specifications, policy constraints, performance norms.
    COMMONLY FILLED BY
    • channel-specific guidelines maintained by paid media team
    • documented specs for major channels
    • ad platform API constraints
  5. variant_review_destination
    REQUIREDWRITErequest

    Where generated variants go for human approval before going live.

    DATA SHAPE
    Per-variant: copy, claims used, target segment, channel, suggested budget allocation, review and approve/reject actions.
    COMMONLY FILLED BY
    • review queue in the ad management workflow
    • shared document with structured variant list
    • approval interface in the paid media tool
  6. ad_platform_publishing
    REQUIREDWRITEevent

    Where approved variants get published to actually run.

    DATA SHAPE
    Variant with full ad-platform specifications, targeting, budget, scheduling.
    COMMONLY FILLED BY
    • ad platform APIs for major channels
    • campaign management tool with publish capability
    • structured handoff to the paid media team for upload
  7. performance_data_feedback
    REQUIREDREADbatch

    How variants perform back to the pattern: impressions, CTR, conversion, cost per outcome.

    DATA SHAPE
    Per-variant per-day: spend, impressions, clicks, conversions, attributed value.
    COMMONLY FILLED BY
    • ad platform performance APIs
    • marketing analytics platform
    • attribution data linking ads to conversions
RUNTIME FLOW · 8 STEPS
  1. 01
    Campaign brief is received through intake
    campaign_brief_intake
  2. 02
    Generate variant set spanning angles: features-led, outcome-led, social-proof-led, problem-led, etc.
  3. 03
    Constrain each variant to approved claims and apply style guide
    approved_claims_libraryvoice_and_style_guide
  4. 04
    Adapt each variant to channel specifications: character limits, format conventions
    channel_specifications
  5. 05
    Route to review destination with claim citations and segment targeting suggestions
    variant_review_destination
  6. 06
    On approval, publish to ad platforms
    ad_platform_publishing
  7. 07
    Continuously ingest performance data, attribute to variants
    performance_data_feedback
  8. 08
    Surface winning angles to marketing for future variant generation; flag underperformers for retirement
EMISSIONS · 3

Structured outputs this pattern produces. Other patterns and client systems can subscribe to them, which is how the catalog composes over time.

  • creative_performance_signal

    Which angles and copy patterns actually win in this market, with the supporting performance data.

    CONSUMED BY
    • paid media strategy
    • creative team direction
    • marketing leadership reviews
  • claim_effectiveness_signal

    Which approved claims drive the strongest response, useful for messaging strategy refinement.

    CONSUMED BY
    • product marketing
    • messaging strategy reviews
    • approved claims library maintenance
  • audience_response_signal

    Per-segment response patterns, useful for audience strategy and product positioning.

    CONSUMED BY
    • audience strategy
    • product positioning
    • segment-level analytics