Paid Search

Paid Search

Paid search has evolved from a keyword-led channel into a fully algorithmic, intent-driven growth engine. Success today is no longer determined by bid adjustments and manual optimisation alone, but by how effectively you feed, guide, and challenge increasingly sophisticated platform algorithms.

At D3, we design and manage paid search programmes that balance automation with strategic control — ensuring platforms work in your favour while remaining accountable to your business outcomes.

Our Approach

Modern paid search requires a shift in thinking. Platforms such as Google and Microsoft now optimise campaigns using machine learning models that rely on data signals, conversion inputs, and user intent patterns.

Our role is to structure, inform, and continuously refine these systems to maximise performance.

Our approach includes:

• Mapping search behaviour across the full funnel — from high-intent conversion queries to upper-funnel demand creation — ensuring we capture both existing demand and future growth.
• Structuring accounts and campaigns to allow automation to perform effectively, while applying the right level of control through segmentation, exclusions, and signal quality.
• Feeding platforms with high-quality conversion data (including offline and server-side signals where possible) to improve bidding accuracy and long-term performance.
• Developing and continuously iterating ad copy, extensions, and creative assets to improve relevance, engagement, and conversion rates.
• Ensuring paid search works in conjunction with SEO, paid social, and broader media activity to maximise overall impact and avoid inefficiencies.

Our Services

Account and Structure Design

Building scalable, future-proof account structures that align with platform best practice — including consolidation strategies that enable machine learning while maintaining control.

Keyword and Query Strategy

Moving beyond traditional keyword lists to a query-led approach, using broad match, audience signals, and smart segmentation to capture high-value intent.

Smart Bidding and Automation

Implementing and managing automated bidding strategies (e.g. tCPA, tROAS) with the right guardrails, ensuring algorithms are optimised towards meaningful business outcomes.

Feed and Shopping Optimisation

For eCommerce clients, optimising product feeds, shopping campaigns, and Performance Max activity to improve visibility, efficiency, and revenue.

Conversion Tracking and Data Integration

Designing robust tracking frameworks, including enhanced conversions, server-side tracking, and CRM integration to improve signal quality and attribution.

Testing and Experimentation

Running structured testing programmes across bidding strategies, creative, landing pages, and campaign structures to drive continuous improvement.

Performance Analysis and Reporting

Providing clear, transparent reporting focused on commercial outcomes, with actionable insights rather than surface-level metrics.

Best Practice in Modern Paid Search

Best-in-class paid search today is defined by how well brands work with — rather than against — platform automation.

Key principles include:

• Fewer, more strategically structured campaigns that allow algorithms to learn faster and optimise more effectively.
• Leveraging broad match keywords supported by high-quality audience and conversion data to unlock incremental reach and efficiency.
• Using CRM data, customer lists, and offline conversions to improve targeting and bidding accuracy.
• Investing beyond last-click conversion activity to include consideration and discovery phases, driving incremental growth.
• Treating ad copy and assets as a key driver of performance, with ongoing testing and iteration.
• Moving beyond platform-reported metrics to understand true business impact, including testing for incremental value and avoiding over-attribution.

Outcomes

Our paid search programmes are designed to deliver measurable, sustainable outcomes:

• Increased revenue and lead volume from high-intent audiences
• Improved efficiency through better use of automation and data
• Greater visibility across competitive and non-branded search
• Stronger alignment between marketing activity and business performance
• A scalable foundation for long-term growth