Overview
All brands

Channel performance

Shapley attribution

Revenue by channel

Attribution model comparison

5 models in parallel
ROAS under each model. Shapley is the default for every recommendation. Agreement shows how closely the models align.

AI and LLM discovery

Assisted channel
Referral revenue and assisted conversions from generative AI platforms
AI platforms often influence a journey that later converts through Organic, Paid Search or Direct. Assisted revenue is reported separately and is not added to paid ROAS.
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Estimated impact, not deterministic attribution. Offline effect is measured as digital uplift during each flight against a matched baseline period, with a lag window applied.

Offline campaign library

TV · OOH · Radio

Digital uplift during flights

Weekly index, 100 = baseline · last 12 weeks · flights in the selected range are highlighted

What it changes downstream

Offline acts as a demand layer on digital decisions

Share of voice trend

SEMrush weekly

Visibility by channel

Current visibility score vs named rivals · index 100 = market average

Recommended responses

Feeds the Decision Engine
Where closing the gap pays back, and where it does not

Sentiment vs conversion rate

NLP overlay

Topics driving sentiment

Entity extraction
Share of positive vs negative mentions by theme

Flagged posts

Needs a response
Negative posts linked to a conversion dip in the following 72 hours

Marginal ROAS is the return on the next pound, not the average pound. It is the slope of each channel's response curve at today's spend, and it falls as spend rises.

Marginal ROAS by channel

Curve position shows how much of each channel's achievable revenue current spend already captures
Response curves · spend vs revenue

Reallocation simulator

Move budget between channels and see the modelled effect, after diminishing returns

Start from a scenario, then adjust any channel. Revenue follows each channel's response curve.

Channel budgets

Monthly spend · marginal ROAS updates live

Current vs this plan

Monthly revenue by channel

Scenario comparison

CMO view
All scenarios on the same model. Click a row to load it.

Monthly revenue projection

Bayesian + gradient boost
Trained on 24 months · seasonal adjustment applied · plan uplift reaches full effect in month two

Platform changes

Approval required
Budgets publish directly to each platform. Every change is reversible.

Audit ledger

Tamper-evident
Every approval, push and rollback is hashed and time-stamped

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Insight

Impact

Recommendation