Why Choose a Results-Driven
PPC Agency?

Most PPC accounts underperform not because the platform is broken, but because the setup work was rushed. A campaign built without proper account architecture, tracking or audience research will chase the wrong signals from day one. Our process front-loads the decisions that determine whether spend converts, with a defined output and a decision point at the end of each phase.

Phase 1 — Audit and tracking foundation

One to two weeks. Before any new spend, we audit existing accounts across every active platform, check conversion tracking against actual business outcomes, and confirm GA4, server-side tagging and offline conversion imports are firing correctly. Most accounts we inherit have some form of broken or partial tracking — optimising toward bad data is worse than not optimising at all. What you receive: an audit report flagging wasted spend, tracking gaps and structural issues, plus a corrected measurement plan. Decision point: whether to rebuild the account or repair it in place.

Phase 2 — Strategy and platform selection

We map your margin, average order value or deal size, and sales cycle against each platform's strengths — high-intent search on Google Ads, interest-based reach on Meta, in-market video attention on YouTube, and job-title targeting on LinkedIn. Not every platform earns a place in every budget. What you receive: a channel and budget plan with projected CPA ranges based on your category, not generic benchmarks. Decision point: which platforms launch first and which are held for a later phase.

Phase 3 — Account build and creative production

Campaign structures are built around intent and margin rather than copy-pasted from a template. Ad copy, extensions, audiences and — where relevant — landing pages are built or reviewed before launch, because sending new clicks to a page that was never tested for conversion wastes the learning period. What you receive: a built account ready for review, plus a testing roadmap for the first 90 days.

Phase 4 — Launch and the learning period

The first two to four weeks are for data collection, not judgement. Bids, budgets and targeting are checked daily, but wholesale changes are avoided until each campaign has enough conversion volume to read reliably. Cutting a campaign at day ten because the cost per lead looks high is one of the most common ways businesses sabotage their own results.

Phase 5 — Optimisation and reallocation

Once statistically useful data exists, budget moves toward the audiences, keywords, placements and creative actually producing revenue. What you receive: a live reporting dashboard and a fortnightly call covering what moved, why, and what's being tested next — reviewed against your landing page and conversion rate performance, not in isolation.

Programmes range from a single Google Ads account to a fully integrated multi-platform system, but the components that make paid media accountable are consistent. Cheaper PPC arrangements typically drop tracking accuracy and creative testing first — the two things that determine whether spend is actually profitable.

Strategy and planning

• Full account audit before a dollar of new spend is committed
• Platform and budget allocation based on margin, sales cycle and audience location
• Competitor auction insights and category benchmarking
• Conversion tracking and attribution review, including offline and phone-call conversions
• A defined testing roadmap for the first 90 days

Account build and management

• Campaign architecture aligned to intent, margin and customer value — not generic best practice
• Keyword research and negative keyword management to cut wasted spend
• Audience build across retargeting, lookalike and in-market segments
• Ad copy, extensions and creative variants written and tested per platform
• Bid strategy and budget pacing managed daily, not reviewed monthly

Landing page and conversion support

• Landing page reviews against the offer and the ad's promise
• A/B testing coordinated with conversion rate optimisation where it's in scope
• Form, call-tracking and chat integration so every conversion path is measured

Reporting and communication

• Live dashboard showing spend, conversions, CPA and revenue by campaign and platform
• Fortnightly or monthly strategy calls with the strategist actually running the account
• Clear documentation of what changed, why, and what's being tested next

Two things sit outside default scope unless specifically agreed: full creative production for video-heavy formats, which is typically quoted separately, and organic SEO work, which is a complementary but distinct discipline with its own timeline.

Every business running meaningful ad spend eventually asks who should actually manage the account. The honest answer depends on spend level, category complexity and how many platforms you're running — not on which option sounds cheapest on paper.

In-house media buyer

Works when: your spend is large enough and concentrated enough on one platform to justify a full-time salary, and the role has enough scope to keep someone genuinely engaged. A good in-house buyer knows your product, margins and sales team intimately, and that context is valuable. Breaks when: the role sits across five platforms alone, when the person leaves and takes platform knowledge with them, or when there's no one to sanity-check their work. Access to cross-account benchmarks and platform-side relationships is also harder to build from inside a single business. Real cost: salary plus superannuation plus tools, often exceeding an agency retainer well before the account reaches a size that justifies it.

Freelancer

Works when: you have a single, well-defined platform and a modest budget, and you're comfortable being the only line of accountability if they get busy with other clients. Freelancers are often genuinely skilled and cheaper per hour than an agency. Breaks when: you need multi-platform coordination, backup cover during leave or illness, or a second set of eyes on strategy. There's also no institutional continuity — if the freelancer moves on, the account knowledge usually goes with them. Real cost: lower hourly rate, higher key-person risk.

Google's own account representatives

Works when: you need help with platform mechanics — new feature rollouts, account structure basics, or troubleshooting a technical issue. Google's teams know the platform well. Breaks when: the incentive is structural, not personal — Google's account teams are measured on spend growth on Google's platforms, not on your ROI, and they have no visibility into or interest in your other channels, your margins or your CRM data. Recommendations tend toward broader targeting and higher budgets. Real cost: free advice, but advice optimised for Google's revenue, not yours.

PPC agency

Works when: you're running meaningful spend across one or more platforms and want strategy, execution, tracking and reporting handled by a team with cross-account pattern recognition — what works and what doesn't, learned across many accounts and categories, not just yours. An agency also provides continuity: if one strategist is away, the account doesn't stop. Breaks when: your spend is too small to generate a useful data signal on any platform, in which case even the best agency is working with noise.

The honest test

If you're running one platform, spend is modest, and someone internally has the time and aptitude to learn it properly, in-house or freelance can work well. Once you're coordinating multiple platforms, need tracking that ties back to revenue, or want strategy independent of the platforms' own commercial interests, that's the point an agency earns its retainer.

It's also worth asking what happens when things go wrong. A freelancer on leave or an in-house buyer who resigns leaves a gap with no immediate cover. Google's account reps have no obligation to your commercial outcomes at all. An agency arrangement, done properly, means the account is never solely dependent on one person's availability, and the strategy is reviewed by more than one set of eyes before changes go live.

The platforms and bidding mechanics are the same across categories. What changes is which conversion actually matters, how long the sales cycle runs, and which platform carries the weight of the budget.

Trades and home services

A large share of enquiries convert by phone, not by web form, so call tracking and after-hours answering matter as much as the ad itself. Local service area targeting, Google's Local Services Ads where eligible, and tight geographic radius settings keep spend inside a genuinely serviceable area. Search intent tends to be urgent — "emergency plumber" behaves very differently to "kitchen renovation ideas" — and campaigns need to be structured around that difference rather than bundled into one generic account.

Healthcare and clinics

Both Google and Meta restrict certain health-related claims and targeting options, and some services require account certification before ads will serve at all. Campaigns typically lean on Google Search for people actively seeking a specific treatment or specialist, with content built around information rather than promotional claims. Booking volume and show-up rate matter more than raw click volume, since a cheap click that never converts to an attended appointment is not a result worth optimising toward.

Professional services

Sales cycles are longer and the enquiry is rarely the final decision point, so tracking needs to extend past the form fill to qualified consultations or signed engagements. LinkedIn's job-title and company-size targeting is often worth the higher cost-per-click for B2B-adjacent services, while Google Search captures people already comparing providers. Landing pages need to establish credibility quickly — a generic contact form rarely converts a considered buyer on the first visit.

Ecommerce

Shopping campaigns, dynamic retargeting and a well-structured product feed usually carry more weight than standard search ads once a catalogue is large enough. Return on ad spend, not cost per click, is the metric that matters, and margin data by product category should inform bid strategy so the account isn't chasing revenue on products with thin margins. Meta and YouTube typically play a discovery and retargeting role alongside Google's transactional intent.

B2B lead generation

The conversion event — a form fill, a call, a demo booking — usually precedes a sales cycle measured in weeks or months, so tracking needs to reach into the CRM to see which campaigns produced an actual closed deal, not just a lead. LinkedIn's targeting by role and industry is often central to the mix despite its higher cost per click, because the audience precision reduces wasted spend on unqualified enquiries that a lower-cost platform would otherwise attract.

Lead quality scoring matters more here than in almost any other category. A campaign that produces a high volume of cheap leads which the sales team rejects as unqualified is not performing well, regardless of how the cost-per-lead metric looks in isolation. Feeding lead outcome data back from the CRM into the ad platform, where the integration supports it, lets the algorithm learn which enquiries actually progress rather than optimising toward form fills alone.

The failures in paid media are consistent enough to list, and almost all of them are decisions made before the first click is served or in the panic of the first fortnight.

Judging campaigns before they have data

Pausing or rewriting a campaign after a week because the cost per lead looks high, before it has enough conversion volume to read reliably. Good looks like: a defined learning period, typically 60-90 days, before major strategic changes are made — with daily monitoring for genuine problems, not knee-jerk edits.

Optimising toward broken tracking

Reporting on conversions that don't reflect real business outcomes — form spam counted as leads, phone calls untracked, offline sales invisible to the platform. Good looks like: tracking audited and corrected before spend is scaled, with call tracking, CRM integration or offline conversion imports wherever the sales process happens off-platform.

Chasing the platform's preferred settings

Accepting broad match and maximum reach recommendations by default because the platform suggests them, when they suit the platform's revenue more than the advertiser's. Good looks like: match types, audiences and bid strategies chosen based on your own account data and margin, tested deliberately rather than defaulted into.

Sending new clicks to an untested landing page

Running ad spend to a page that was designed for a different purpose, or never checked against the offer the ad promised. Good looks like: landing pages reviewed and, where in scope, tested through conversion rate optimisation before meaningful budget lands on them.

Running every platform the same way

Copying a Google Search campaign structure onto Meta or LinkedIn without adjusting for how each platform's audience actually behaves. Good looks like: a distinct strategy per platform, built around what that platform is genuinely good at, unified only at the reporting and budget-allocation level.

Reporting on spend instead of return

Monthly reports full of impressions, clicks and CTR with no line connecting spend to revenue or pipeline. Good looks like: reporting built around cost per acquisition, return on ad spend and — where the sales cycle is longer — pipeline and closed revenue, reviewed alongside what that spend is actually returning against the alternative of not running the campaign at all.