If your Amazon sales or fees seem to shift days after you’ve already booked them, you’re not imagining things.

Across the Blue Onion customer base, we’ve uncovered a widespread issue we call Amazon data drift — where sales, fees, and even cancellations continue changing for days after data is first pulled. And for most finance teams, this silent drift is breaking daily bookings, delaying monthly closes, and introducing inaccuracies into ERP systems.

What Is Amazon Data Drift?

Amazon data drift occurs when previously booked transaction data  like sales, refunds, or fees  gets retroactively updated by Amazon after the initial reporting date.

In our customer analyses, Amazon order and revenue data continues changing three or more days after the initial pull, creating inconsistent and unreliable financial reporting.

The kicker?
80% of companies don’t even know it’s happening.

Only about 20% of finance teams have identified and attempted to address it, often after spotting discrepancies between Amazon reports, ERP data, and bank settlements.

What Causes the Drift?

Amazon’s platform is incredibly dynamic and that’s part of the problem. Some of the most common triggers for post-fact data updates include:

• Inventory issues and out-of-stock situations that cause backdated cancellations
  
  
• “Subscribe & Save” cancellations before fulfillment
  
  
• Backdated order adjustments that rewrite the original transaction date

These shifts cause previously reported data to “move,” meaning your Amazon sales and revenue reports can change even days after you’ve reconciled them.

How Big Is the Impact?

The impact can be significant.

In one real-world customer example:

• On October 1, Amazon reported $41,000 in sales.
  
  
• On October 2, that same data set updated to $58,000 — a $17,000 swing overnight.
  
  

Revenue recognition followed a similar pattern:

• Initial reporting: $52,000–$53,000
  
  
• Updated reporting: $55,000–$56,000 (+$3,000 difference)
  
  

For context, Shopify data during the same period remained stable, confirming this issue is Amazon-specific. PayPal data also shows similar drift tendencies, but Amazon remains the biggest culprit.

For finance teams booking daily, these delayed data changes mean yesterday’s numbers aren’t final and monthly closes can stretch weeks longer as teams chase accuracy.

The Traditional Workarounds (and Why They Fall Short)

Once teams realize what’s happening, the natural instinct is to “catch” the changes manually — often through:

• Rebuilding complex data nets to capture deltas
  
  
• Booking transactions based on older data (e.g., “book 3 days ago” instead of “yesterday”)
  
  
• Relying solely on settlement reports for final accuracy
  
  

While settlement reports are the only guaranteed complete view, they lag up to two weeks, forcing finance teams to choose between speed and accuracy.

Neither option scales and neither delivers real confidence.

How Blue Onion Is Solving Data Drift

Blue Onion’s approach is to automate away the uncertainty.

We’re developing a feature suite called Smart Adjustments, designed to make data drift visible  and manageable directly within your accounting workflow.

Here’s what’s coming:

• “As-of Date” Filter: See your historical data exactly as it looked on a given date.
  
  
• Booking Management: Flexible journal entry management for non-integrated QuickBooks customers.
  
  
• Automated Adjusting Journal Entries: Automatically apply corrections when prior-period data changes, keeping your books continuously accurate.
  
  

These updates are part of our broader mission to help finance teams move beyond manual reconciliation and achieve true financial accuracy  even when source systems keep changing.

Why This Matters for Finance Teams

Data drift doesn’t just cause headaches; it undermines the core of financial reporting.

When your numbers move days after booking, you lose:

• Confidence in your data
  
  
• Efficiency in your close process
  
  
• Trust across accounting, FP&A, and leadership teams
  
  

By exposing hidden data drift and automating the fix, Blue Onion ensures finance teams can focus on analysis, not cleanup.

Looking Ahead: The Future of Ecommerce Reconciliation

During the webinar Q&A, one audience member asked whether Blue Onion plans to handle COGS (Cost of Goods Sold) within these workflows.

The answer?
Yes: COGS functionality is on the roadmap. While there’s no committed timeline yet, the Blue Onion team is actively exploring ways to automate COGS reconciliation alongside sales and revenue data, extending the same transparency and control to inventory-related costs.

The Bottom Line

Amazon’s constant data updates make “final numbers” a moving target. For most finance teams, that means endless rebookings, delayed closes, and reactive accounting.

Blue Onion gives you back control  showing you what changed, when it changed, and why  so your books stay accurate without the manual chaos.

Want to see how your Amazon data is drifting?

Watch the full webinar replay or book a personalized demo to see how Blue Onion can give your team full visibility, audit readiness, and confidence in every number.

👉 Watch the recording