Deep dive

PPC Strategy: Evidence-Based Paid Search Planning for Serious Growth

PPC without strategy means scaling what is comfortable, not what is profitable.

The Difference Between Running PPC and Having a PPC Strategy

Most businesses that invest in paid search are running PPC. Very few are doing so with a strategy. The distinction matters enormously. Running PPC means having campaigns active, keywords bidding, ads serving, and a dashboard showing cost, clicks and conversions. Having a PPC strategy means knowing precisely why you are bidding on those keywords and not others, how much each customer segment is worth to you at each stage of the funnel, how your brand and non-brand investment relates to each other, what role each campaign type plays in the overall commercial objective, and what success looks like in terms that connect to revenue rather than just ROAS.

The absence of strategy does not prevent PPC from appearing to work. Traffic comes. Conversions happen. The dashboard shows positive numbers. But the efficiency of the investment — how much commercial output is generated per pound of ad spend — is significantly lower than it should be. And more critically, the account is not building anything. It is not accumulating audience intelligence, it is not improving algorithm performance through consistent signal, it is not positioning itself to scale effectively. It is spending money in a way that works today, without creating the foundation for it to work better tomorrow.

A PPC Strategy changes this. It starts from commercial objectives and builds backward to the specific campaign architecture, keyword blueprint, audience framework and budget allocation that will achieve them — producing an account that is not just active, but strategically designed to deliver compounding commercial returns.

Commercial Objective Setting: The Foundation of the Strategy

The starting point for any PPC strategy is a clear definition of what commercial success looks like. This sounds obvious, but it is genuinely rare. Most PPC briefs define success in channel metrics — a target CPA, a target ROAS, a traffic volume — without connecting those metrics to the underlying business objectives they are supposed to serve. The result is optimisation toward a proxy metric that may not be the right one.

A brand growing market share in a new customer segment should be optimising for new customer acquisition, not overall ROAS — because overall ROAS will be heavily influenced by brand search from existing customers, and optimising for it will systematically underinvest in the new customer acquisition that is the actual objective. A brand managing a mature product with high repeat purchase rates should be weighting customer lifetime value in its bidding strategy, not single-transaction conversion value. A brand running a content-led awareness strategy should be measuring assisted conversion contribution, not last-click attribution.

The commercial objective framework defines the specific KPIs that the PPC strategy will be optimised for, how those KPIs connect to business-level revenue objectives, the attribution model that will be used to measure them accurately, and the decision rules that will determine when and how the strategy will be adjusted as performance data accumulates.

Audience Architecture: The Most Underused Lever in Paid Search

The shift from keyword-centric to audience-centric PPC is the most significant strategic development in paid search over the past five years, and it is still significantly underutilised by most advertisers. Keywords tell you what someone is searching for. Audience signals tell you who is searching — their purchase history, their browsing behaviour, their demographic profile, their relationship with your brand. Combining both gives you the ability to differentiate your bidding and messaging based not just on intent but on the commercial value of the specific user expressing that intent.

The audience strategy defines three layers of targeting. First-party audiences use data from your own CRM, website behaviour and purchase history to create Customer Match lists, website remarketing segments and past purchaser exclusions — ensuring that budget is appropriately allocated between new customer acquisition and retention, and that messaging is relevant to each segment’s relationship with your brand. Platform-native audiences use Google’s in-market, affinity and custom intent segments to reach users who have not yet visited your site but are demonstrating commercial intent signals relevant to your category. RLSA (Remarketing Lists for Search Ads) applies first-party audience data as a bid modifier layer on top of keyword targeting, allowing you to bid more aggressively on high-intent keywords for users who have already visited your site, reducing wasted spend on users with low conversion probability.

The audience architecture is documented as a framework that specifies which segments are targeted in which campaigns, with what bid adjustments and what message tailoring at each level. This framework compounds over time: as the audience lists grow, as Customer Match data expands with new purchasers, and as the Smart Bidding algorithm accumulates more signal from each segment, the targeting becomes progressively more efficient without requiring additional manual intervention.

The Brand vs Non-Brand Decision

The allocation of budget between brand and non-brand campaigns is the single most important strategic decision in most PPC accounts, and it is the decision most frequently made by default rather than by design. Brand campaigns — targeting searches for your brand name — typically show very high ROAS because they are capturing users who were already going to your site. Non-brand campaigns — targeting generic category terms — show lower ROAS because they are reaching users earlier in the journey, but they are the primary mechanism for growing market share and reaching new customers.

The strategic problem arises when brand performance is used to justify the overall account’s ROAS, obscuring the true cost of non-brand acquisition. An account that is 80% brand and 20% non-brand can show an impressive blended ROAS while delivering almost no new customer acquisition value — essentially paying for traffic that would have arrived anyway. The strategy defines an explicit brand-to-non-brand allocation based on the specific commercial objective: a brand in growth mode should typically 

Campaign Structure and the Role of Performance Max

Campaign structure defines how the account is organised — how campaigns are segmented, how ad groups are themed, how budget is allocated across campaign types — and it determines how clearly performance can be read, how effectively the algorithm can optimise, and how efficiently the account can be managed at scale. A well-structured account makes every subsequent decision easier: it is clear why each campaign exists, what it is supposed to achieve, and whether it is achieving it.

Performance Max campaigns — which serve across all Google inventory types with a single budget — require specific structural consideration. They are powerful when well-configured and actively managed, but they create specific risks when left to optimise autonomously. The strategy defines the role of Performance Max within the overall campaign structure, specifies how asset groups should be organised, identifies the audience signals that should be configured to guide optimisation, and establishes the brand exclusion settings needed to prevent cannibalisation of brand search campaigns. For most accounts, Performance Max works best as a complement to well-structured traditional Search campaigns, not as a replacement for them.

Budget Allocation and the 30/60/90-Day Launch Plan

The budget allocation model specifies how total PPC investment should be distributed across campaign types — Search, Shopping, Performance Max, Display, YouTube — and across the brand-to-non-brand split, the prospecting-to-retargeting split, and any channel extensions beyond core Google Ads. The allocation is based on the commercial objective framework and the audience architecture, and it is reviewed at 30-day intervals as performance data accumulates and the algorithm’s signal quality improves.

The 30/60/90-day launch plan phases the implementation of the strategy to manage risk and maximise learning speed. The first 30 days focus on structural implementation and Smart Bidding calibration — getting the account architecture in place and allowing the bidding algorithms time to accumulate signal before drawing conclusions about performance. Days 31–60 focus on data review and initial optimisation — assessing early performance patterns, refining audience segments, and making the first round of keyword and ad copy adjustments. Days 61–90 focus on scaling what is working — increasing budget allocation to the highest-performing campaigns, expanding keyword coverage in proven categories, and beginning the audience expansion that increases reach without sacrificing efficiency.

Frequently Asked Questions

Should I get the PPC Audit or the PPC Strategy first?

If you have an existing account: the audit first. It will tell you what is working, what is broken and what is being wasted — and the strategy is significantly more effective when it can build on that diagnostic. If you are starting from scratch with no existing account: the strategy first.

Does the PPC Strategy include Google Ads setup?

The strategy is a planning deliverable — it specifies what to build and how to structure it. Execution is a separate engagement. We can scope execution on a retained or project basis — ask us on your discovery call.

Do you take a percentage of ad spend?

No. We are a strategy and advisory business — we do not buy media on your behalf or charge based on spend levels. This means our recommendations are always in your interest, not influenced by any incentive to increase spend.

How long does the strategy take to deliver?

Typically 2–3 weeks from briefing to delivery, including review of your existing account where applicable, competitive intelligence gathering and strategy development.

The Bottom Line

PPC is one of the few marketing channels where the quality of strategic thinking is directly and rapidly reflected in commercial performance. A well-designed strategy — one that connects commercial objectives to a principled audience architecture, a clear campaign structure, and an explicit budget allocation — compounds over time as audience lists grow, algorithm signal accumulates, and the account becomes progressively more efficient. A poorly designed strategy, or no strategy at all, works against this compounding by introducing structural inefficiency that the algorithm cannot overcome.

The strategy is not the end of the work. It is the beginning of an account that is designed to improve over time — one where every optimisation decision is made within a clear strategic framework, and every pound of ad spend is working toward a defined commercial objective.