Last November, James ran out of his bestselling candle scent two days into Black Friday weekend. He watched helplessly as orders failed. Customers complained. He lost thousands in sales.
So in January, he ordered 500 units – five times his normal inventory. He was determined never to run out again.
By June, he had 430 units collecting dust. The stockout had been a one-time spike caused by a viral TikTok. It was never going to repeat itself. But because that stockout was so vivid and painful in his memory, James treated it as proof of normal demand.
This is the availability heuristic at work. We judge how likely something is based on how easily we can think of an example – not based on actual data.
What Is the Availability Heuristic?
Psychologist Amos Tversky and Daniel Kahneman identified this mental shortcut in the 1970s. The core idea: when we try to estimate how common or likely something is, our brain takes a shortcut. Instead of analyzing data, it asks “how quickly can I think of an example?”
If an example comes to mind fast, the brain assumes the event is common. If it’s hard to think of an example, we assume it’s rare.
This works well in everyday life – common things are usually easier to recall. But vivid, emotional, or recent events are also easy to recall, even when they’re not common. And that’s where the bias kicks in.
How It Distorts Inventory Decisions
Stockouts are painful. Running out of a product during a sale feels catastrophic. So after a stockout, merchants over-order dramatically.
The stockout is vivid. The pain is fresh. The memory is easy to access. And so the brain concludes: “This happens all the time. I need to prepare.”
But stockouts are often one-time events – caused by a viral post, a podcast mention, or an unusually big order from one customer. After the spike, demand returns to normal. The over-order sits in storage, tying up cash.
The same logic works in reverse. A slow sales week feels catastrophic when you remember it clearly. “Sales are dying.” But one slow week is almost never a trend. It’s noise.
How It Skews Marketing Choices
You attend a conference and hear a founder talk about how TikTok Shop transformed their business. The story is vivid, specific, emotional. You leave convinced that TikTok Shop is the answer to your growth problems.
But you didn’t hear from the hundreds of merchants who tried TikTok Shop and saw no results. Those stories don’t get told at conferences. Only the outliers speak.
The availability heuristic makes us weight vivid success stories far above quiet failures. That’s why so many merchants chase strategies that work for 1 in 100 stores, convinced they’ll be that 1.
The One Bad Review Problem
A negative review can feel like a crisis even when you have 200 positive ones. Why? Because the bad review is recent, specific, and emotional. It’s easy to recall.
Merchants sometimes make major product changes, refund policies, or pricing decisions based on a single complaint. They assume this reviewer represents a large silent group of unhappy customers.
Sometimes they’re right. But often, one bad review is exactly that – one review. The availability heuristic turns one data point into a trend.
Before changing your store based on feedback, ask: how many customers gave me this same signal? Is this one voice or a chorus?
Availability Bias in Competitor Research
You see a competitor launch a new feature or product and immediately assume it’s working for them. They must be doing it because it converts. You rush to copy it.
But you’re working from extremely limited data. You saw their announcement. You don’t know their conversion rates. You don’t know if they’re planning to discontinue it. You just know it exists and looks confident.
The availability heuristic fills the gap with assumption. Visible action gets interpreted as successful action.
How to Use It Strategically
Here’s the flip side: the availability heuristic is a feature, not just a bug. If vivid memories drive decisions, you can use this to your advantage.
When customers have a memorable positive experience with your store – a surprise gift in their package, a handwritten thank-you note, an unusually responsive customer service reply – that experience becomes vivid and accessible. When they think about buying again, that memory surfaces easily. Your store feels like the obvious choice.
Growth Suite helps here by creating genuinely memorable offer moments – personalized discounts that appear at exactly the right time feel surprising and generous. That kind of well-timed experience sticks in memory far longer than a generic discount code buried in an email.
Building an Availability-Proof Decision Process
The antidote to availability bias is a deliberate process that slows down emotional decision-making and introduces data.
Wait Before Reacting
After any vivid event – a stockout, a complaint, a competitor move – wait 48 hours before making a decision. Give the emotional vividness time to fade. Then look at the data.
Gather More Examples
Before treating one event as a pattern, actively look for counterexamples. Did the stockout happen during a normal week or during a viral moment? Have other merchants actually succeeded with that strategy, or just one famous case?
Set Decision Rules in Advance
Decide your inventory reorder levels and marketing budget rules before a crisis hits. When rules are set calmly in advance, they’re harder for vivid events to override.
Common Availability Traps and Their Fixes
| Availability Trap | What Drives It | The Fix |
|---|---|---|
| Over-ordering after one stockout | Vivid memory of lost sales | Check 6-month average demand before ordering |
| Panicking after one bad review | Emotional response to criticism | Review trends across 30+ reviews before changing anything |
| Copying a competitor’s feature | Visible action = assumed success | Test the idea yourself on a small scale before committing |
| Assuming slow week = dying business | Recent poor performance feels permanent | Compare week-over-week to same period last year |
| Chasing one viral strategy | Memorable success story from a conference | Research actual adoption and success rates, not just the headline case |
Key Takeaways
- Availability heuristic = vividness, not frequency – The brain treats memorable events as common events, even when they’re not
- Stockouts and spikes are not trends – One painful event doesn’t predict future demand; check the full data picture
- Vivid stories beat statistics in your memory – A single conference talk can override months of data if it’s emotional and specific
- One bad review is one data point – Gather multiple signals before making changes based on a single piece of feedback
- Competitor visibility isn’t proof of success – You see their actions, not their results
- Use it for good – Create memorable customer moments that stay top-of-mind when they’re ready to buy again
- Build a deliberate process – Set decision rules in advance, wait before reacting, and always look for counterexamples
Your brain is constantly looking for patterns. It finds them in the most vivid, recent, and emotional events – not necessarily the most representative ones. Knowing this doesn’t make you immune. But it gives you the ability to pause, check the data, and make decisions based on reality rather than memory.
