Marketing teams
Marketing dashboards are full of numbers that are not causal. Argumont is for the moment two teams can tell opposite stories from the same chart.
decision
Marketing spend is a decision under noisy feedback
Marketing choices often look decided because a channel is fashionable. Argumont compares spend, sequencing, and the option to stop, using evidence status instead of dashboard theater.
What this decision type is
A marketing decision might allocate budget, pick a channel, choose a message, or kill a campaign. Last-click attribution is a model, not a fact.
Argumont is useful when two plausible stories fit the same chart.
Common mistakes
Scaling a channel that only worked because of a one-time creative. The analysis should ask what is load-bearing: the channel, the offer, or the novelty.
Another mistake is treating brand lift studies as causal without a design that can support that claim.
What evidence matters
Incremental tests, cohort payback, sales-cycle length, and creative fatigue. Platform-reported conversions stay unverified if they cannot be reconciled to revenue.
Example criteria
Incremental return
What happens if you do not spend, not only if you do.
Payback time
Cash timing, including delayed B2B close.
Evidence quality
Whether the measurement can actually support the claim.
Brand risk
Whether the message creates a hole you cannot later climb out of.
Operational load
Design, legal, and sales time the campaign consumes.
Common risks
Attribution fiction
The channel that reports best is not the channel that causes purchase.
Offer confusion
A campaign trains buyers on a discount you cannot sustain.
Example decision
Double paid search, shift to outbound, or pause spend for a month and improve the offer. Include pause as a serious option.
Related pages
Test assumptions
A plan can look robust while resting on two unverified sentences. Argumont extracts those sentences, classifies them, and keeps them inspectable.
Decision calibration
A well-calibrated decision maker who says 70% is right about seven times in ten, in that bucket. Most people are not well calibrated on novel bets.
Decisions
These pages are not a directory of keywords. Each one describes a kind of choice, the evidence it needs, how Argumont scores it, and where to go next.
Challenge this campaign bet
Argumont challenges assumptions, researches evidence, compares competing approaches, and identifies the strongest decision.
Challenge this campaign bet