Attention as the Primary Constraint
Subtitle: Time is scarce; unclaimed attention is scarcer. Allocation is strategy.
Opening provocation¶
People say “we don’t have time.” Marketers should say: we don’t have attention that trusts us. Time without attention is just calendar noise.
This lecture makes attention allocation explicit: creation vs distribution vs learning vs rest — and how each block couples to downstream reach and credibility.
1. Attention vs time¶
Time is the outer bound (24h, sleep, obligations).
Attention is the quality-weighted subset you can spend on high-fidelity work: writing, filming, designing, live conversation.
Your model should separate:
hours_availableattention_units(effective creative capacity, possibly varying by block)
2. Blocks and opportunity cost¶
Typical blocks:
Deep creation — drafts, design, code, long-form
Distribution — posting, ads ops, email sends
Learning — research, competitive intel, skill acquisition
Maintenance — admin, analytics, tooling
Recovery — without it, attention quality collapses (modeled as productivity curve or noise)
Key idea: moving an hour from recovery to distribution may raise short-run reach and lower long-run credibility if quality falls.
3. Productivity curves¶
A simple approach: effective_output(block) = hours × base_rate × productivity_multiplier(hour_of_day, recovery_debt).
Students need not overfit biology — they must acknowledge non-flat productivity and document what they assumed.
4. Coupling to reach¶
If Lecture 1 defined signal_reach = f(attention, credibility), Lecture 2 refines attention into allocated blocks so you can ask: what happens if I reallocate 20% from creation to distribution?
Often: reach rises briefly; trust falls if content quality drops — a two-variable tradeoff your model should expose.
5. Vanity metrics warning¶
Optimizing “hours spent marketing” without output quality and audience trust is efficiency theater.
SAMWISE should push: what metric are you implicitly maximizing?
Bridge to the notebook¶
02_attention_allocation.ipynb adds blocks and a productivity curve; you simulate reallocations and observe reach and (if encoded) quality proxies.
Lecture checklist¶
I separated clock hours from effective attention.
I identified my highest-leverage block for my stated goal.
I named one coupling my model still ignores (e.g., family obligations).