Steps to Optimize PPC Campaigns with a Paid Search Agency

Why partner with a paid search agency for PPC optimisation

Working with a paid search agency can accelerate campaign maturity, tighten attribution, and shift focus from clicks to profitable revenue. This guide outlines the core steps to optimise PPC campaigns with a paid search agency - from kickoff through ongoing scaling - and explains the tracking and funnel changes you should expect when the relationship moves from setup to measurable growth.

Step 1 - Align goals, constraints, and profit metrics

Start by translating business goals into measurable paid search objectives. Instead of top-line ROAS alone, agree on profitability targets: target CAC, target LTV/CAC ratio, gross margin thresholds, and monthly or quarterly revenue goals in $ for US operations. Share average order value (AOV) and purchase frequency so the agency can model acceptable CPA ranges. These inputs feed bidding strategies, budget pacing, and channel mix.

Step 2 - Audit account structure and data plumbing

A technical-first audit is essential. The agency should review campaign structure, conversion actions, tag deployment (client-side and server-side), and website conversion paths. Expect checks for attribution gaps, duplicated conversions, and mismatches between platform-reported conversions and backend revenue records. Producing a baseline accuracy estimate (for example, platform vs server-side revenue delta of $X or Y%) helps prioritise tracking fixes.

User click → Platform click ID → Client-side tag fires → Server-side endpoint receives event → CRM / order system attributes revenue

Step 3 - Map the funnel: TOF → MOF → BOF

Break campaigns into funnel stages so optimisations match intent. A typical paid search funnel for US eCommerce or B2B looks like:

• TOF (Top-of-Funnel) - awareness search queries, discovery keywords, broad match audiences
• MOF (Middle-of-Funnel) - consideration queries, product vs category searches, remarketing
• BOF (Bottom-of-Funnel) - branded, purchase-intent queries, dynamic remarketing

Align creative, landing pages, and bidding strategies to each stage. For example, TOF may prioritise impressions and landing page engagement metrics, while BOF optimises for transactions and backend revenue attribution.

Step 4 - Create a prioritised test plan

A structured testing calendar prevents chasing noise. The agency should present a 6-12 week plan that lists tests by expected revenue impact and implementation complexity. Typical tests include bid strategy swaps (target CPA vs ROAS), audience layering, negative keyword sweeps, landing page variants, and server-side event enhancements. Document hypotheses and expected US revenue impact ranges (e.g., a 5-15% improvement in measurable attributed revenue) rather than absolute promises.

For a checklist-style starting point see the agency's campaign and tracking priorities on their services overview - it helps frame where paid search fits into broader growth systems.

Step 5 - Define reporting, attribution and cadence

Agree on a reporting cadence (weekly performance snapshots, monthly strategy reviews, quarterly attribution audits). Insist on revenue-first KPIs and a single source of truth for attribution that reconciles ad platform data with backend revenue. The agency should document how they reconcile Google Ads, Microsoft Ads, and other channels against server-side events and CRM orders to avoid double-counting or missed credit.

If you want a quick orientation to the agency's approach to performance-first growth, review their value proposition on the homepage.

Execution: build, test, measure, and scale

After alignment and planning, execution follows a repeatable loop: Strategy → Build → Test → Measure → Scale. A paid search agency should present concrete inclusions and explicit exclusions for each phase (for example, which landing pages they will test versus pages requiring client-side engineering). Clear ownership reduces friction and accelerates iteration.

Step 6 - Implement server-side tracking and attribution fixes

Addressing tracking gaps early increases signal quality for automated bidding. Typical implementations include:

• GTM server-side endpoint to reduce client-side dropoff
• Passing platform click IDs to order confirmations for deterministic attribution
• Reconciling platform conversions with backend gross revenue in USD to create accurate value-based bidding

These changes often reduce reported conversion count but improve revenue accuracy - a critical trade-off for profitability-focused brands.

Step 7 - Prioritised bid and audience tactics

Common agency-led tactics for US paid search include switching to value-based bidding, using remarketing lists for search ads (RLSA), layering in in-market and affinity audiences for MOF, and applying negative keyword harvesting regularly. Each tactic should be tied to a hypothesis describing the expected impact on CAC and incremental revenue.

Step 8 - Funnel optimisation and landing page variants

Optimising landing pages by funnel stage is low-hanging fruit. BOF traffic should hit transactional pages optimised for conversion rate; MOF traffic can use comparison or benefit-driven pages; TOF can use content pages that capture interest and feed remarketing pools. The agency should run A/B tests and track lift in conversion rate and average order value, reporting changes in $ relative to baseline.

Step 9 - Ongoing governance and cost controls

Set guardrails: budget caps, CPA thresholds, and rules for automated bidding to prevent runaway spend. Governance includes change logs for campaign edits, test results, and a monthly attribution audit. Expect the agency to recommend monthly retainer structures and a roadmap for scaling channels that meet CAC and profitability targets.

Step 10 - Review, document, and institutionalise learnings

Document outcomes from each test and translate winning strategies into campaign templates and playbooks. This reduces ramp time when scaling new products, US regions, or ad platforms like Microsoft Ads and helps in-house teams absorb institutional knowledge. For an overview of long-term performance systems and service offerings, see the agency's approach on their about page.

Practical example (US eCommerce scenario)

Imagine a US Shopify store with $100 AOV and 25% gross margin. If the agency models a sustainable CAC of $30, they will allocate budget to BOF queries and value-bid for high-LTV segments while running TOF prospecting to fill remarketing pools. Expected results are expressed as ranges (e.g., a 10-20% increase in attributed revenue within 90 days), not absolute guarantees.

Simple funnel metrics table

Next steps and what to expect from an agency

Expect a technical onboarding that includes data access requests, a short-term test plan, and transparent reporting. The right paid search agency focuses on clean data pipelines, attribution clarity, and profit-driven growth rather than surface metrics. If you are evaluating partners, request examples of attribution reconciliations and documented test plans before engagement.

Sources

• Google Ads help - conversion tracking setup
• Google Developers - Tag Manager Server-Side guide
• WordStream - paid search best practices and testing frameworks
• Google Analytics 4 - measurement guidance for advertisers

Explore the framework and test prioritisation approaches described above to get a clear, revenue-focused path for optimising PPC campaigns with a paid search agency. See a real-world example of how tracking and funnel changes improved attribution and scaled profitable spend.