CtrlK
BlogDocsLog inGet started
Tessl Logo

marketing-psychology

When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context.

79

1.11x
Quality

64%

Does it follow best practices?

Impact

87%

1.11x

Average score across 6 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/marketing-psychology/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

75%

3%

Pricing Page Strategy for ProjectFlow

Pricing psychology application

Criteria
Without context
With context

Three-tier structure

100%

100%

Middle tier as target

100%

100%

High-price anchor first

50%

50%

Inferior tier as foil

66%

77%

Recommended plan highlighted

100%

100%

Daily/unit price framing

100%

80%

Charm vs round pricing distinction

22%

44%

Rule-of-100 discount framing

30%

30%

Risk reversal copy

100%

100%

Immediate benefit emphasis

55%

55%

Option reduction guidance

75%

100%

98%

8%

Redesign User Onboarding for ChefNotes

Behavioral onboarding design

Criteria
Without context
With context

Progress visualization

100%

100%

Near-completion messaging

20%

100%

Open-loop re-engagement

100%

100%

First step simplicity

100%

100%

User customization step

100%

100%

Ownership before value ask

100%

100%

Escalating commitment

100%

100%

Motivation and prompt pairing

80%

100%

Peak moment design

100%

100%

Loss framing in re-engagement

100%

80%

84%

7%

Q2 Marketing Strategy for TalentTrack

Strategic budget allocation analysis

Criteria
Without context
With context

Top channel identified

100%

100%

Vital few focus

100%

100%

Constraint diagnosis

70%

100%

Barbell allocation structure

90%

70%

Second-order risk

100%

100%

Failure mode analysis

100%

100%

Loss framing in recommendation

33%

33%

Multi-touch awareness

33%

100%

Success metrics specificity

100%

100%

Survivorship bias caution

62%

75%

Opportunity cost explicit

50%

37%

96%

7%

Landing Page Trust Strategy for a New Legal Tech SaaS

Trust-building psychology for new brands

Criteria
Without context
With context

Authority signals recommended

100%

100%

Social proof with numbers

100%

100%

Vivid outcome examples

100%

100%

Reciprocity-first offer

100%

100%

Similarity or tribe positioning

100%

100%

Honest weakness admission

100%

100%

Risk reversal copy

100%

100%

Repetition/multi-channel presence

25%

75%

Contrast/before state shown

50%

100%

Proven principles over trendy tactics

100%

100%

Positive framing of statistics

100%

83%

Immediate benefit emphasis

83%

83%

89%

11%

Increasing Feature Adoption for an Underused Analytics Dashboard

Behavioral intervention design

Criteria
Without context
With context

BJ Fogg all three components

75%

100%

EAST dimensions covered

80%

80%

COM-B diagnosis present

100%

100%

Activation energy reduction

90%

100%

Default or pre-selection nudge

90%

100%

Simplified entry interface

100%

100%

Social proof or social comparison

25%

0%

Timely prompt design

100%

100%

Progress or goal mechanism

50%

100%

North Star or single metric focus

87%

100%

Incentive perverse effects considered

50%

87%

81%

17%

Growth Strategy for a Two-Sided Freelance Design Marketplace

Growth flywheel and network effects strategy

Criteria
Without context
With context

Flywheel cycle articulated

58%

100%

Network effect design

70%

80%

Critical mass segment focus

50%

80%

Mimetic desire for supply side

25%

37%

Feedback loop identification

75%

100%

Switching cost strategy

12%

0%

Compounding channel investment

100%

100%

Exploration vs. exploitation balance

87%

87%

Reciprocity or free value first

50%

100%

Second-order effects noted

87%

100%

No survivorship bias in benchmarks

66%

83%

Single constraint identified first

100%

100%

Repository
coreyhaines31/marketingskills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.