Buyer Psychology skill
The decision-force method Okara’s AI CMO uses to explain why good products lose: trigger events, status quo bias, perceived risk per role, and the cost of championing you.
Download the methodology, see how the agent maps a stalled decision, or run it live inside the Okara AI CMO.
- Category
- Growth
- Agent
- AI CMO
- Format
- buyer-psychology.md
- Price
- Free to download
The skill file
--- name: buyer-psychology description: Understand what actually drives a purchase decision — perceived risk, status quo bias, internal politics, and the trigger that makes change urgent — and write to those forces. owner: Okara AI CMO --- # Buyer Psychology People don't buy the best option. They buy the option that feels least risky once they've decided change is necessary at all. This skill maps the forces around a decision so your marketing addresses the real ones.
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About this skill
What is the Buyer Psychology?
The Buyer Psychology skill is the exact approach Okara’s AI CMO follows to work out what is really driving — or blocking — a purchase. It finds the trigger events that make change urgent, takes status quo bias seriously as the strongest force in the room, maps perceived risk role by role, and prices the political capital your internal champion has to spend to advocate for you.
It’s written as a SKILL.md, a plain-language instruction format that people and AI agents can both follow. Use it when prospects agree with everything and still do not buy, or when deals stall at the same point every time.
Downloading the instructions is free with an Okara account. Running the skill — trigger-aware campaigns, role-specific material, and a maintained champion kit — is part of the Okara AI CMO.
By the time someone reaches out, the decision is largely pre-formed: B2B buyers now complete a large majority of their own research before a salesperson enters the picture — widely cited estimates (commonly cited B2B buying-journey research) put the share at roughly 60–70% or more of the entire journey. That means the trigger, the risk calculus, and the internal politics this skill maps have usually already been worked through privately, long before the first call gives you any chance to influence them.
Example
See it in action
You ask: “Prospects tell us we’re clearly better, then renew with the incumbent anyway.”
Agent does: It explains the gap: agreement is not motivation, and the status quo has inertia with no advocate but enormous weight. So it maps the forces instead of the features. It finds your real trigger events — a contract renewal window, a new ops hire, an incident — because those are the only moments anyone evaluates anything. It separates the buying committee into user, economic buyer, technical approver, and blocker, each with a different fear, and ranks perceived risks by how often they actually stall deals: not price, but "the team will hate it" and "I will be blamed." It matches proof to fear type, so the security concern gets a SOC 2 report rather than a testimonial. Then it builds the champion kit — the numbers and the one-pager that answer their CFO’s question — because your advocate is spending political capital and your job is to make that cheap. It closes by reframing to the monthly cost of not moving, and shrinking the first commitment.
Comparison
The skill vs. the alternatives
| Do it yourself | Hire a freelancer or agency | Buyer Psychology skill (free) | AI CMO | |
|---|---|---|---|---|
| Cost | Your own time | $500–$5,000+ per project | Free with an Okara account | Included in the AI CMO plan |
| Time to first result | Hours to days, per attempt | Days to weeks, plus revision rounds | Minutes — download and follow it | Same day, runs automatically |
| Consistency over time | Depends on remembering to do it | Only as long as the retainer lasts | One-time; you re-run it yourself | Continuous, on a schedule |
| Who does the work | You, from scratch each time | Someone who has to learn your business first | You (or your agent), following the exact steps | Okara's AI CMO, end to end |
How it works
From input to output
- 1
You describe the stall
Share who decides, what they use today, and where deals repeatedly stop.
- 2
Okara finds the triggers
The AI CMO identifies the events that make change urgent and how to reach people at that moment.
- 3
It maps risk by role
User, buyer, approver, and blocker each get their question, their fear, and the proof that answers it.
- 4
You arm the champion
A kit that lowers the political cost of advocating for you, plus a loss frame and a smaller first step.
What's included
Everything it covers
Trigger events
The moments that make evaluation urgent, and how to be present when they happen.
Status quo analysis
What the current way costs and why it persists despite being worse.
Perceived risk map
The fears that block deals, ranked — usually ahead of price.
Role separation
User, economic buyer, technical approver, and blocker, each with different material.
Champion kit
What your internal advocate needs to spend political capital safely.
Loss framing
The monthly cost of not changing, which outperforms gain framing roughly two to one.
Use cases
When to reach for it
- Explain why prospects agree with your pitch and still do not buy.
- Unstick deals that stall at the same point every time.
- Give a buying committee role-specific material instead of one deck.
- Reach buyers at the trigger moment rather than at random.
- Lower the perceived risk that is costing you more deals than price.
Frequently Asked Questions
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Pair it with these skills
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