More reported ROAS can still mean less real profit.
Disconnected data rewards the channel that claims the sale, not necessarily the activity that caused it. Teams scale noisy signals, miss saturation and repeat the same debates every month.
Managed marketing profit optimisation
Know where your next marketing dollar should go.
Your advertising, customer and commercial data each contain part of the answer. GAM brings them together to identify where to increase, reduce or reallocate spend for profitable growth.
Cross-platform evidence · Accountable execution
How much should you spend to optimise business growth?
Profit
UnderinvestingProfitable scaleDiminishing returns
The problem
Every tool sees part of the customer. None sees the whole investment decision.
Ad platforms report conversions. Product tools report behaviour. CRMs report pipeline. Payment systems report revenue. The budget decision sits across all of them.
- OverspendBudget keeps rising after marginal profit has peaked.
- UnderinvestProfitable demand is left uncaptured in the right channels and markets.
- MisallocateMoney moves toward platform attribution instead of incremental contribution.
- Learn slowlyReporting describes the past without creating the next action.
The operating loop
From raw signals to accountable action.
Most tools stop at a dashboard. GAM connects the decision, the change and the commercial result so the next optimisation starts with better evidence.
Build the profit truth
Join advertising, customer, order, margin and lifetime value data around one commercial model.
Find the next best move
Prioritise budget, bid, audience, creative and conversion opportunities by expected profit impact.
Make the change
Our system and senior operators execute within agreed guardrails across the channels you use.
Analyse the impact
Compare what changed with the baseline, understand the commercial impact and feed the learning into the next decision cycle.
Our approach
Use the right evidence for each decision.
First, we join advertising, customer and commercial data. Then we choose the measurement method that fits the decision, execute the change and analyse what happened.
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01
For daily optimisation
Customer-level analysis
Connect journeys, orders, margin and customer value to compare audiences, campaigns, products and creative using shared commercial definitions.
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02
For budget allocation
Marketing mix modelling
Estimate channel response, saturation and budget scenarios to understand where additional investment is most likely to produce profitable growth.
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03
For causal confidence
Incrementality experiments
Use geo, conversion and lift tests to separate activity that caused growth from activity that merely received attribution.
No single method answers every question. We use the right evidence for the decision and state the confidence and margin of error.
Decisions, not dashboards
Questions answered with measured confidence.
Marketing is probabilistic. We do not pretend otherwise. We combine your data with explicit tests so every decision has evidence, confidence and a plan to prove the result.
Explore nine decisions and how we answer them
Which channels deserve the next dollar?
How we answer it
Join channel spend to revenue, margin and customer value, then compare marginal response, saturation and incrementality before reallocating budget.
Which targeting finds profitable customers?
How we answer it
Link audiences to downstream profit and retention, account for overlap and validate promising segments through holdouts or lift tests.
Which creative types create incremental demand?
How we answer it
Tag hooks, formats and messages, connect them to customer quality and profit, then test whether winners create demand rather than only claim it.
What time of day should campaigns run?
How we answer it
Compare conversion quality and marginal profit by hour and weekday, then test dayparting where the available volume supports a reliable decision.
Which locations deserve more investment?
How we answer it
Model response, margin and customer value by geography, then use geo tests where possible to verify where extra spend creates incremental profit.
Which devices convert profitably?
How we answer it
Join device-level acquisition with cross-device conversion, customer value and margin so apparent efficiency is not confused with real contribution.
Which offers should we test next?
How we answer it
Use customer and product economics to prioritise offers, then run controlled tests against revenue, contribution margin and repeat purchase.
Which price points are worth testing?
How we answer it
Model price sensitivity and contribution margin, then test selected price points with guardrails for conversion, retention and profit.
When do promotions add profit?
How we answer it
Compare promoted and non-promoted cohorts, account for pull-forward and cannibalisation, and measure whether the promotion creates incremental profit.
What gets optimised
One objective. Multiple approaches.
GAM separates the decisions that change performance from the measurement methods used to prove them.
Spend and channel mix
Find the profitable scale point, then allocate budget across channels, campaigns and markets according to marginal contribution.
Bids and value signals
Improve bidding with clean conversion signals, predicted value, margin and customer lifetime value.
Search and placements
Optimise search terms, keywords, negatives, match types and inventory placements using downstream profit evidence.
Audiences and targeting
Build and activate segments using intent, behaviour, lifecycle stage, profitability and propensity.
Location, device and timing
Move delivery toward the geographies, devices, placements and dayparts where profitable response is strongest.
Creative and messaging
Connect hooks, formats, value propositions and messages to downstream profit, then feed the evidence into the next brief.
Offers and commercial strategy
Test price points, promotions, product categories, upsells and cross-sells to create incremental demand without eroding margin.
Conversion and lifecycle
Improve landing pages, funnels, activation, reactivation and retention without sacrificing margin or customer quality.
Proof over promises
What changes when profit becomes the target.
GAM has worked across data, analytics and paid media since 2016. These outcomes came from disciplined measurement and optimisation, not a software demo.
Increase in profit after advertising expenses through SKU-level profitability analysis.
Increase in new leads through global, multichannel paid media optimisation.
Uplift in purchase conversion rate while reducing advertising spend by 15%.
Our impact guarantee
Measured impact, or our fee back.
Before the pilot begins, we agree the baseline, success measure, test window and evidence standard. If we deliver no measurable impact against that agreement, we refund our fee.
- Baseline agreed before changes begin
- Impact verified against a defined comparison
- Confidence and limitations reported openly
- Subject to agreed data access, scope and execution permissions
Client perspective
The strongest proof of a performance system is what happened after it met a real budget.
“Our investment has already paid off 10×.”Rachman Blake · Founder, StoryParty
Performance audit
Start with evidence.
We connect to your platforms, assess the complete performance system and identify the clearest path to incremental profit.
- Tracking, attribution and conversion-signal assessment
- Channel, campaign, audience and creative opportunity analysis
- Profitability, margin and customer-value gaps
- Prioritised execution plan with expected commercial impact