When Sales Suddenly Drop: How to Investigate a SKU
Sales velocity is your everyday health check. Sooner or later, a client is going to message you with something like this.
"Our [SKU] was selling around 25 units a day. Now we're only doing 8. Can you check what happened?"
The temptation is to guess right away: PPC problem? A competitor? Bad reviews? A ranking drop? Seasonality? All of those might be true — but guessing first is how a VA burns an hour chasing the wrong thing.
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Kuya Lito: Hindi dapat manghula agad ang isang mahusay na VA — nag-iimbestiga siya. Sa lesson na 'to, matututunan natin ang isang paraan ng pag-iimbestiga na pwede mong ulit-ulitin sa totoong Seller Central, hindi lang basta paghula ng dahilan.
What You'll Be Able to Do
Recognize when a sales-velocity decline is worth investigating
Compare time periods instead of reacting to one bad day
Check inventory and offer availability as an early, fast diagnostic step
Use Business Reports to tell a traffic problem from a conversion problem
Spot basic listing/offer issues that could be hurting sales
Gather evidence before concluding a cause — and know when a cause is only "possible," not "probable"
Walk a real case from symptom to root cause to a client-ready recommendation
7Investigation Steps
1Full Case Study
6Assessment Questions
The core idea: Don't start with the most complicated explanation. Start with the fastest checks that can eliminate the most obvious causes. If a SKU is unavailable, there's little value spending an hour on keyword rankings.
Step 1 of 7 · The Framework
Is the Drop Even Real?
Sales velocity = average units sold per day over a chosen period. One bad day does not automatically mean something is wrong — you're looking for a pattern, not reacting to a single number.
Period
Avg Units/Day
Yesterday
8
Last 7 days
12
Previous 7 days
24
Last 30 days
21
Also verify you're comparing apples to apples — same SKU, same listing context. A parent/child mix-up or a "data artifact" (a report glitch, a timezone edge, a returned-order spike) can look like a real decline when it isn't.
Interactive Exercise
Here's what you pull from Business Reports for a different SKU:
Period
Ordered Units
Avg Units/Day
Previous 7 days
168
24
Current 7 days
84
12
Previous 30 days
630
21
Current 30 days
510
17
Confirm the Drop
Is this something you would investigate?
No — one 7-day dip isn't worth the time
Yes — both the 7-day and 30-day windows show a decline
No — 30-day numbers are the only ones that matter
Step 2 of 7 · The Framework
Check Availability Before Anything Else
Inventory is one of the fastest things to rule in or rule out. Check it early so you don't spend time analyzing a SKU that simply can't be bought right now.
Available inventory (FBA and any FBM stock)
Restock recommendations
Days of Cover
Inbound inventory
Stranded inventory
Whether the offer is currently sellable at all
Scenario
SKU: PVA-TRAVEL-MUG-BLK · Normal velocity: 25 units/day · Available inventory: 3 units · Inbound: 0 · Days of Cover: less than 1 day
Availability
Would you continue investigating keyword rankings first?
Yes — rankings are usually the real cause of a sales drop
No — this is an immediate inventory/availability concern that needs to be flagged first
Step 3 of 7 · The Framework
Traffic Problem or Conversion Problem?
This is the most important analytical step. Use Business Reports to tell these two apart:
🚦 Traffic Problem
Sessions decrease significantly.
🔁 Conversion Problem
Sessions stay relatively stable, but Unit Session % (conversion rate) decreases.
Scenario A
Metric
Previous 7 Days
Current 7 Days
Sessions
1,000
520
Unit Session %
10%
9.5%
Ordered Units
100
49
Scenario A
What changed first?
Traffic dropped significantly; conversion held roughly steady
Conversion dropped significantly; traffic held roughly steady
Neither traffic nor conversion changed meaningfully
Scenario B
Metric
Previous 7 Days
Current 7 Days
Sessions
1,000
980
Unit Session %
10%
4.5%
Ordered Units
100
44
Scenario B
What's the correct read here?
Traffic dropped significantly; conversion held roughly steady
Traffic is relatively stable, but conversion deteriorated
This is identical to Scenario A
These two situations require different investigations. A traffic problem points you toward rankings, ad activity, and availability. A conversion problem points you toward the listing, the offer, and the Buy Box.
Step 4 of 7 · The Framework
Customer-Facing / Listing Check
If conversion dropped while traffic stayed relatively stable, it's time to look at what customers are actually seeing. Look at the live storefront, not only what Seller Central says.
Main image
Title
Bullet points
Product information / A+ Content where applicable
Offer availability
Price
Buy Box status
The goal here is simple: "Is something obviously wrong with what customers are seeing?" — not a deep listing-optimization pass.
Apply It
Sessions are stable, but Unit Session % dropped sharply. What should you check next?
Advanced keyword-ranking strategy
The live listing/offer experience — image, price, Buy Box, offer status
Wait a few days and see if it recovers on its own
Immediately pause all advertising campaigns
Step 5 of 7 · The Framework
What Changed — and What to Escalate
Ask: "What changed around the time the decline started?" These are investigation clues, not automatic conclusions.
Price changed
Promotion ended
Inventory became constrained
Offer or listing content changed
Variation structure changed
Advertising campaign was paused or materially changed
Some other operational issue occurred
PPC as an Escalation Check
If the SKU depends heavily on advertising and traffic dropped, check whether campaigns were paused, budgets were exhausted, or bids changed significantly. That's it — don't dive into bidding strategy here. If advanced PPC analysis is needed, escalate to the PPC specialist.
Other Possible Contributors
Reviews, competitor activity, seasonality, and category shifts are all worth noting — but possible doesn't mean probable. "A competitor entered the market" is a contributor to check, not a conclusion to jump to.
Apply It
A VA notices a new competitor entered the market around the same time sales dropped. What should the VA conclude?
The competitor caused the decline — case closed
It's a possible contributor — it needs supporting evidence before being called the cause
Ignore it — competitors never affect sales
Step 6 of 7 · The Framework
The Root-Cause Decision Tree
Put the whole framework together. Choose a branch at each step — the path itself is the lesson.
🕵️ Final Case Study
Bamboo Drawer Organizer – 3 Pack
Normal velocity: about 25 units/day. Current velocity: about 8 units/day. Read every piece of evidence before you decide.
Sessions: 4,300 → 4,180 Unit Session %: 9.5% → 5.0%
📦 Inventory Status
Available: 340 units Days of Cover: 18 Inbound: 0 · Stranded: none Sellable: Yes
🛒 Offer & Buy Box
Offer status: Active Buy Box: Lost — another seller is currently winning it
💲 Price History
Raised from $18.99 to $24.99 nine days ago. Unchanged since.
📝 Listing Snapshot
Title, bullets, main image, and A+ Content unchanged for the last 60 days.
📣 PPC Status
Campaigns active, no pauses, budget not exhausted, spend roughly flat.
⭐ Reviews
One new 2★ review 6 days ago ("packaging a little damaged"). Overall rating still 4.6★.
Change Timeline: Day −9: price raised $18.99 → $24.99 Day −7: Buy Box lost to a competing offer Day −5: a competitor listing appears at $19.99 Day −2: the 2★ review posted
Root Cause
Based on the evidence, what is the most likely root cause?
An inventory stockout
PPC campaigns were paused
A price increase caused the Buy Box to be lost to a lower-priced competitor
The listing content was changed and hurt conversion
Observation → Evidence → Hypothesis → Action: Sessions barely moved, which rules out a traffic problem. Inventory is healthy (18 Days of Cover), so it's not a stockout. The listing content and PPC activity are unchanged, so those aren't it either. What lines up in time with the decline is the price increase nine days ago, followed by losing the Buy Box two days later — most shoppers checking out go through whoever holds the Buy Box, which is now the competitor. The negative review and the competitor's new listing are real, but on their own they don't explain a 68% drop — they're possible contributors, not the evidenced cause.
📝 Final Assessment
Scored Investigation
All six questions use the Bamboo Drawer Organizer case. Scoring rewards correct evidence and investigation order — not just naming a plausible cause. Passing is 80% (5 of 6). Unlimited retakes.
🏆 Final Task
Write the Investigation Note
Turn what you found into a short, client-ready summary. This is the deliverable a real client actually reads.
Portfolio-Ready Draft
Sales-Velocity Investigation Note — Meridian Home Goods
Observation
Evidence
Likely Cause
Recommended Next Step
Escalation
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Kuya Lito: Ito na — isang tunay na investigation note na pwede mong ipakita sa isang future client, honest na labeled bilang practice work. I-print o i-save bilang PDF, tapos idagdag sa Proof Vault mo.
🎉 Lesson Complete
You Know How to Investigate a Sales Drop
Here's the full path you just walked, in order:
1Confirm the drop is real
↓
2Check availability and sellability
↓
3Separate traffic from conversion
↓
4Check listing/offer integrity
↓
5Investigate recent changes — escalate PPC/advanced work
↓
6Gather evidence and identify the most likely cause
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7Recommend the next action — and escalate what needs it
🧑💻
Kuya Lito: Hindi mo kailangang malaman agad ang bawat posibleng problema sa Amazon. Ang kailangan mo lang malaman: ano ang unang titingnan, ano ang sinasabi ng mga numero, at kailan dapat mag-escalate. 'Yun ang totoong skill dito.
🗂️ Save your exported Investigation Note to your Proof Vault — it's a real, portfolio-ready sample of evidence-based diagnostic work.