More spend rarely fixes poor media strategy. We build media buying plans that define where your budget goes, why it goes there, how placements are chosen, and what performance you should expect — so every pound or dollar earns its place.
Q3 Brand Push — Active Strategy
4.8×
ROAS
$31
CPA
3.4%
CTR
Avg. 4.8× ROAS across managed accounts
Strategic media buying & allocation
4.8×
Average ROAS improvement across structured media buying engagements vs prior unplanned spend
40%
Reduction in wasted spend from audience refinement, placement logic, and allocation restructuring
7–14 days
From intake and media audit to complete buying strategy and channel allocation delivery
100%
Of plans include allocation logic, optimization framework, and reporting tied to business outcomes
At a Glance
Six strategic pillars — each one addressing the layer of paid media decision-making that most businesses either skip or treat as an afterthought.
Define who sees the media — by behaviour, intent signal, demographic profile, and stage of the buying journey.
Select the specific inventory, format, and position that matches the campaign objective and audience context.
Assign spend across channels and audiences based on performance potential, not convention or convenience.
Structure media across platforms so each channel plays a defined role — avoiding duplication and competing spend.
Continuous performance review with structured reallocation logic — budget moves toward efficiency as data accumulates.
Performance metrics tied to business outcomes — revenue, leads, CPA, ROAS — not impressions and click-through rates.
Is This Right for You?
Eight situations where strategic media buying creates measurable performance improvement — not from spending more, but from placing what you already have more intelligently.
"You're spending on paid media but can't clearly trace the spend to commercial outcomes — you have channel metrics but no connection to revenue, leads, or customer acquisition"
A media buying strategy defines what success looks like at the business level before any placement runs — and builds the reporting structure that connects channel performance to the commercial outcomes decision-makers actually care about.
"Your paid campaigns are running across multiple platforms but each one is managed separately — different budgets, different briefs, different vendors, no shared performance view"
A multichannel media buying structure assigns each platform a defined role in the media mix, coordinates allocation across channels, and gives you a single performance view rather than four separate dashboards reporting four separate metrics.
"Your CPA has risen or ROAS has declined — and budget increases haven't improved performance. The problem is placement and targeting strategy, not spend volume"
Increasing budget into an inefficient buying structure scales the inefficiency, not the performance. Media buying strategy identifies why placements are underperforming, reallocates toward efficient inventory, and refines targeting before more spend is committed.
"Your media decisions feel reactive — you adjust bids and budgets based on last week's numbers rather than following a defined optimization framework with clear reallocation logic"
An optimization workflow defines the performance thresholds that trigger action — when to shift budget, when to cut a placement, when to expand a winning audience — so reallocation decisions are systematic rather than reactive and emotional.
"You're entering a new channel, audience segment, or market and need an allocation approach that doesn't treat the investment as an experiment you can afford to get wrong"
A structured expansion buying plan defines the test allocation, the performance benchmarks that determine whether to scale or pivot, and the exit logic that protects the core budget if the expansion doesn't perform.
"You're scaling media spend but performance doesn't scale proportionally — cost per acquisition grows with budget rather than staying flat or declining as you invest more"
Scaling into saturated placements and audiences produces diminishing returns regardless of budget. A scaling buying structure routes incremental spend into expansion audiences, secondary platforms, and new inventory positions rather than concentrating all growth in existing placements.
"Different teams or vendors are managing different paid channels with no coordinated allocation strategy — budget is fragmented rather than structured"
Fragmented paid media managed by multiple parties without a shared framework produces competing spend, overlapping audiences, and no cumulative effect. A unified buying strategy provides the shared allocation logic and coordination structure that makes fragmented channels work as a single media mix.
"Your media reporting shows clicks, impressions, and spend by platform — but decision-makers need to see revenue contribution, lead cost, and ROAS across the full media mix"
Outcome-tied reporting connects channel activity to business results — defining which KPIs correspond to which business objectives, how attribution is assigned across channels, and what the media investment actually produced commercially.
Core Use Cases
Five media buying approaches — each structured around a different commercial objective. Find the type that matches your current paid media situation.
Awareness media buying is not about maximum impressions at minimum CPM — it is about reaching the right audience at sufficient frequency to create measurable brand recall and intent. The buying structure defines the audience parameters, the platform and placement combination that delivers efficient reach within that audience, the frequency caps that build recall without generating fatigue, and the performance benchmark that tells you whether the awareness spend is producing downstream intent. Awareness buying done correctly creates the demand that performance channels convert — not the other way around.
Objective
Build targeted audience reach at efficient CPM — with frequency logic and downstream intent measurement built in
Outcome
Awareness buying plan with defined audience, reach target, CPM benchmark, frequency logic, and brand-recall KPI framework
Key Results
Audience reach quality
Defined by segment, not volume
Frequency architecture
Recall-building without fatigue
Downstream intent signal
Tracked via search lift or direct traffic
What We Build
Full Scope
Seven strategic areas — each one addressing a layer of paid media decision-making that determines whether your budget performs or simply gets spent.
Define precisely who sees each placement — by behavioural signal, purchase intent, demographic profile, and position in the buying journey. Not broad targeting by category — specific audience construction by platform.
Choose the specific ad format, inventory type, and position that matches the campaign objective and audience context — search, social feed, display network, video pre-roll, or native placement by intent signal.
Assign media spend across channels, placements, and audience segments based on performance potential and conversion probability — not convention, historical spend patterns, or platform defaults.
Coordinate paid media across platforms with defined channel roles, shared allocation logic, and audience deduplication — so platforms work as a coordinated media mix rather than competing cost centres.
Define the performance thresholds that trigger budget movement, placement changes, and audience expansion — structured optimization logic that improves efficiency as data accumulates rather than reacting to last week's dashboard.
Connect media activity to commercial outcomes — revenue contribution, lead cost, CPA, and ROAS — with attribution logic that tells you which placements and audiences produced results, not just which generated clicks.
Structure the full buying funnel from cold audience through warm retargeting to repeat customer — with different platforms, placements, and bid strategies assigned at each stage of the conversion journey.
Match Your Situation
Five buying objectives — each with a different structure, platform mix, and optimization logic. Find the one that matches what you're trying to achieve.
Goal
Build brand awareness in a new market or audience segment
You need to reach a defined audience at sufficient frequency to create measurable recall — but awareness spend without a buying structure tends to generate impressions rather than intent.
What We Build
Awareness buying plan with audience definition, reach target, CPM benchmark, frequency architecture, and downstream intent measurement tied to search lift or direct traffic.
Goal
Acquire qualified leads at a defined cost per acquisition
Your paid media generates form fills and enquiries, but lead quality is inconsistent and cost per qualified lead varies by platform without a clear framework for where to concentrate spend.
What We Build
Lead generation buying plan with audience intent qualification, platform allocation by expected CPA, bid strategy by channel, and lead quality scoring logic with weekly reallocation review.
Goal
Maximize ROAS and revenue from paid media investment
You're running e-commerce or DTC campaigns with prospecting and retargeting but without a defined allocation ratio, ROAS targets set before launch, or optimization logic that adjusts spend as performance data accumulates.
What We Build
Performance buying plan with prospecting-to-retargeting allocation ratio, platform and placement selection by funnel stage, ROAS target per channel, and weekly reallocation framework.
Goal
Coordinate paid media across multiple platforms and vendors
You're running Google, Meta, LinkedIn, and display through different teams or agencies — each reporting separately, with no shared allocation framework, overlapping audiences, and no cross-platform view of what the combined spend actually produces.
What We Build
Multichannel buying plan with defined channel roles, shared allocation framework, audience deduplication logic, and a unified performance reporting structure across all platforms.
Goal
Improve an existing buying strategy through structured optimization
You have a live media strategy but performance has plateaued. Bids and budgets get adjusted reactively based on last week's numbers rather than following defined thresholds that systematically move spend toward better-performing placements.
What We Build
Ongoing optimization framework with weekly performance review cadence, reallocation trigger logic, audience expansion plan by performance tier, and monthly reporting tied to commercial outcomes.
The Core Problem
Most paid media spend follows convention — the same channel split, the same targeting approach, the same reporting dashboard — rather than a buying structure built around commercial performance.
Budget is allocated by channel convention or vendor recommendation — Google gets 40%, Meta gets 30% — without a framework tied to where your specific audience actually converts.
Allocation is structured by conversion probability, audience intent signal, and expected cost per outcome — each channel's share is determined by its role in the buying funnel, not by habit.
Targeting is set by demographic category and interest keyword — age 25–54, marketing managers, interested in software — without behavioural layering or purchase intent qualification.
Audiences are defined by behavioural signals, contextual intent, and stage-of-journey qualification criteria — reaching people who are likely to convert, not people who might fit a broad category.
Each platform is managed independently — separate budgets, separate briefs, separate reporting — with no shared framework to coordinate allocation or prevent audiences from overlapping across channels.
Each platform is assigned a defined role in the media mix, with shared allocation logic, audience deduplication, and a unified performance view that shows what the combined spend produces.
Optimization decisions are reactive — bids and budgets get adjusted based on last week's dashboard numbers, driven by whoever noticed the change first rather than a systematic framework.
Reallocation follows defined performance thresholds — when CPA exceeds a trigger, when ROAS drops below a benchmark — so decisions are systematic and traceable rather than reactive and emotional.
Reporting shows impressions, clicks, and cost-per-click by platform — metrics that measure activity, not outcomes — making it impossible to connect spend to revenue, leads, or commercial results.
Reporting is built around commercial outcomes — ROAS, CPA, revenue contribution, lead cost — with attribution logic that connects each placement and audience to a measurable business result.
Scaling spend means putting more money into the same placements and audiences — producing diminishing returns and rising cost per acquisition as you push further into saturated inventory.
Incremental spend is routed into expansion audiences, secondary platforms, and new inventory positions — not concentrated into existing placements that have already reached efficiency limits.
Our Approach
Five sequential decisions that build a complete media buying strategy — from audience definition through to outcome reporting. Each step depends on the one before it.
Define who you're buying media for — not by demographic category alone, but by behavioural signal, purchase intent, contextual trigger, and stage in the buying journey. The audience definition determines every downstream placement and allocation decision.
Assign media spend across channels and audience segments based on expected performance — not convention. Each platform receives a defined allocation with rationale tied to its role in the funnel, the audience it reaches most efficiently, and the conversion it's most likely to produce.
Select the specific formats, placements, and inventory positions that match the audience intent and campaign objective — search keyword selection, social feed vs story placement, display network vs premium direct buy, or video pre-roll by content context.
Define the performance thresholds that trigger action — when CPA exceeds a level, when ROAS drops below a benchmark, when a placement stops delivering qualified traffic. Reallocation follows the data, not the dashboard refresh cycle.
Build the reporting structure that connects channel activity to commercial outcomes — revenue, leads, CPA, ROAS — with attribution logic that identifies which placements and audiences produced results, not just which generated activity metrics.
How It Works
A structured engagement that moves from media audit and gap analysis to complete buying strategy — with audience definition, allocation structure, placement logic, and optimization framework all delivered together.
Review of current media spend, channel mix, targeting logic, audience structure, and past performance data. We identify what the existing buying approach is producing — and what it's missing — before defining the new structure.
Define the audience architecture — intent signals, behavioural qualifiers, journey-stage segments — and assign each platform a specific role in the media mix. Channel selection is based on where your defined audience can be reached most efficiently relative to your campaign objective.
Build the budget allocation framework across channels and audience segments — with prospecting-to-retargeting ratios, placement logic by funnel stage, and bid strategy configuration by platform. Every allocation decision has a performance rationale tied to it.
Define the performance thresholds, review cadence, and reallocation logic that will govern the buying strategy over time. Build the reporting structure that connects channel activity to commercial outcomes — not just platform metrics.
Complete media buying plan delivered with handover session. Covers audience targeting brief, allocation structure, placement logic, optimization framework, and reporting setup. Includes 30-day check-in to review live performance against plan benchmarks.
Before & After
Four examples of media buying strategy applied to underperforming paid media accounts — each with a specific structural problem and measurable improvement after a defined buying plan was implemented.
E-commerce — Fashion
"Spending $35k/month across Meta and Google with declining ROAS — 2.1× average with spend concentrated in broad prospecting audiences and retargeting without defined allocation ratios."
Before
After
B2B SaaS — Project Management
"LinkedIn and Google running independently with separate budgets, no shared audience logic, overlapping decision-maker targeting, and CPA of $280 with no reallocation framework between channels."
Before
After
Local Services — Multi-Location
"Google Ads spend scaling without performance improvement — CAC rising month over month despite budget increases. No placement logic differentiating locations, no audience exclusion for existing customers."
Before
After
DTC Brand — Health & Wellness
"Meta Ads managing awareness, consideration, and conversion in a single campaign structure — no prospecting/retargeting separation, no frequency controls, and rising CPMs from audience overlap within the account."
Before
After
What You Receive
Eight structured outputs — from media audit and audience architecture through to per-channel execution briefs — that give you a complete, implementable buying strategy.
Current-state review of your channel mix, targeting logic, placement structure, and performance data — with specific gaps and inefficiencies identified before strategy is built.
Documented audience architecture — intent signals, behavioural qualifiers, journey-stage segments, lookalike seeds, and exclusion logic — that defines who each placement is built to reach.
Structured spending plan across channels and audience segments — with channel role assignments, prospecting-to-retargeting ratios, and reallocation logic tied to performance thresholds.
Per-platform placement logic — format selection, inventory position, and ad type by funnel stage and audience intent — with rationale for every placement decision.
Channel role definitions, audience deduplication logic, and sequencing framework for brands running across two or more platforms — ensuring each channel plays a defined role without overlap.
Documented performance thresholds, review cadence, reallocation triggers, and audience expansion criteria — so optimization decisions follow data rather than intuition.
KPI framework and reporting architecture that connects channel activity to commercial outcomes — ROAS, CPA, revenue contribution, lead cost — with attribution methodology by platform.
Platform-specific buying brief covering audience targeting, placement logic, bid strategy, creative specifications, and performance benchmarks — ready for implementation or handover to a media buyer.
Pricing Plans
Media buying strategy engagements built around your specific campaign objective, audience, and channel mix — from audit and gap analysis through to complete buying plan with allocation framework and optimization logic.
A structured review of your current media spend, targeting logic, placement structure, and channel allocation — with identified gaps and a prioritised restructuring roadmap.
Full media buying strategy engagement — audience architecture, budget allocation framework, placement logic, optimization structure, and outcome-tied reporting — ready for immediate implementation.
Monthly media buying advisory — rolling performance review, reallocation decisions, audience expansion logic, and buying strategy refresh as data accumulates and commercial objectives evolve.
Tailored to your needs
Common Questions
Questions we hear most often from businesses evaluating whether a media buying strategy is what they need.
Related Services
Media buying strategy sits within a broader marketing system. These services work alongside it — or handle the layers that come before and after.
Get Started
A media buying strategy defines where your budget goes, why it goes there, and what performance you should expect — before any placement runs. Get a complete buying plan built around your audience, your campaign objective, and your commercial outcome.