heritage-project-google-ads
Categories: |2.2 min read|
Sector: Cultural and Visitor Experience

Project Context

A heritage attraction relied on Google Ads to drive ticket sales but faced unstable performance. Campaigns combined different search intentions, landing pages were misaligned with user expectations, and tracking signals were inconsistent. The objective was to create a structure that delivered predictable, high-quality demand rather than fluctuating results.

Services:
  • Performance Marketing

  • Intent Segmentation

  • Funnel Alignment

  • Tracking Review

Commercial Problem

Three constraints shaped the approach:

  1. Intent dilution
    High intent and exploratory searches were mixed within the same campaigns.
    Google received noisy signals and optimised toward the cheapest clicks rather than the most valuable queries.

  2. Landing page mismatch
    Users searching for specific visit types were being sent to a general overview page, reducing relevance and increasing drop offs.

  3. Unstable tracking data
    GA4 captured events, but not in a consistent pattern that Smart Bidding could use with confidence.

The system lacked clarity, which reduced both efficiency and revenue consistency.

Strategic Approach – Intent Framework

The restructure focused on giving Google a clean, interpretable environment. Search behaviour was separated into three categories:

  • 1

    High intent where users expressed clear purchase signals

  • 2

    Mid funnel where users compared or explored visit options

  • 3

    Upper funnel where searches reflected broad interest rather than readiness to buy

Each category received its own campaign with aligned bidding, creative, and landing logic.

Landing Page Alignment

  • High intent queries were directed to the most relevant experience pages.

  • Mid funnel queries were sent to comparison views that helped users self select.

  • The overview page was retained but removed from high intent traffic.

Structure and Keyword Cleanup

  • Keyword overlap was removed.

  • Exact match was used where intent was explicit.

  • Broad match was restricted to segments where contextual signals were strong enough to maintain efficiency.

Signal Stabilisation

Key GA4 events were refined and mapped to the correct conversions.
This ensured the bidding system received clear, repeatable signals.

Creative and Messaging

Messaging was matched to the funnel stage:
• clarity and timing for high intent
• differentiation and proof for mid funnel
• cultural relevance for upper funnel

clear approach

Intent Framework

clear approach

project outcome

Higher efficiency from high intent traffic

project-outcome

Outcome

After stabilisation, three improvements were seen across the account:

  1. Reduced volatility
    Spend and conversion patterns became predictable rather than erratic.

  2. Higher efficiency from high intent traffic
    Budget increasingly reached queries with stronger commercial value.

  3. Improved relevance at landing level
    Drop offs decreased and conversion probability increased when users were sent to the appropriate page for their query.

The account performed in line with demand seasonality, with structural noise removed.

Clear Approach

  • Intent Segmentation

  • Landing Relevance

  • Signal Clarity

Project Outcome

  • higher efficiency

  • more stable return

  • stronger alignment between search intent and user experience

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