Managed marketing profit optimisation

We help you decide where your next marketing dollar should go.

GAM's forward-deployed marketers join your team to build a unified marketing data model across advertising spend, customer signals, revenue and margin. Together, we use it to increase, reduce or reallocate budget for incremental profit.

How much should you spend to optimise business growth?
Profit
UnderinvestingProfitable scaleDiminishing returns
Incremental profit response by advertising spend Profit rises with advertising spend to an ideal level, then falls as returns diminish. CURRENT SPEND IDEAL SPEND INCREMENTAL PROFIT
The problem

The answer is not in any one tool.

Ad platforms report conversions. Product tools report behaviour. CRMs report pipeline. Payment systems report revenue. The investment decision sits across all of them.

More reported ROAS can still mean less profit.

Disconnected data rewards the channel that claims the sale, not necessarily the activity that caused it. Teams scale noisy signals and miss where marginal profit has peaked.

  • 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.

GAM connects the evidence, decision, change and commercial result so each optimisation improves the next one.

01 / MEASURE

Build the profit truth

Join advertising, customer, order, margin and lifetime value data around one commercial model.

02 / DECIDE

Find the next best move

Prioritise budget, bid, audience, creative and conversion opportunities by expected profit impact.

03 / EXECUTE

Make the change

Our system and senior operators execute within agreed guardrails across the channels you use.

04 / ANALYSE

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.

  1. 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.

  2. 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.

  3. 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.

Proof over promises

What changes when profit becomes the target.

GAM has worked across data, analytics and paid media since 2016. These are historical client outcomes from that work.

Nursing Angel 812%

Increase in profit after advertising expenses through SKU-level profitability analysis.

Jobber 282%

Increase in new leads through global, multichannel paid media optimisation.

Sense +94%

Uplift in purchase conversion rate while reducing advertising spend by 15%.

See results and client stories
Performance audit

Start with evidence.

We establish what can be measured, where profit is leaking and which change deserves priority.

  • Data, tracking and commercial baseline
  • Highest-value performance constraints
  • Prioritised execution plan with expected impact

Impact guarantee: if we deliver no measurable impact against the agreed baseline, test window and evidence standard, we refund our fee.

Request the audit