How to See What Amazon Customers Buy Next (& Why It Matters) - MerchantSpring Repeat Purchases Tool

That is the problem MerchantSpring helps solve with its Repeat Purchases and customer path reporting.

Instead of treating every sale as an isolated event, the report connects the first product a customer bought with the product they purchased next.

It also helps you understand the time between those purchases and the value created across the customer journey.

That gives you a clearer basis for advertising decisions, bundles, cross-selling, and product recommendations.

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What Does The MerchantSpring Repeat Purchases Report Show?

The report shows how first purchases connect to later purchases across your product catalog.

You can start with the product that brought a customer into the brand and then see which item commonly appeared in the next order.

MerchantSpring refers to the first item as the gateway product or Gateway ASIN because it acts as the entry point into the customer journey.

The next purchase shows whether another product is naturally continuing that journey.

The report can also show how long customers took to return and the cumulative value associated with the path.

This turns a simple sales total into a more useful picture of customer behavior over time.

How Does The Customer Purchase Path Work?

Once the report identifies a repeat buyer, the next logical question is what that person bought after the first order.

The customer path view answers that by connecting the first product with the follow-up product and the gap between both purchases.

A single path may not tell you much, but a pattern that appears repeatedly can reveal a real relationship between two products.

For example, customers may begin with an entry-level product and later move toward a refill, accessory, premium version, or complementary item.

That sequence is more useful than guessing which products look related from your point of view as the seller.

It shows how customers actually connect the products through their own buying behavior.

Why Does The First Product Matter So Much?

The first product matters because it may be doing more than generating one sale.

It may be introducing customers to the rest of your catalog and creating demand for later purchases.

That means a product with a modest first-order margin can still be strategically valuable if it regularly leads to profitable follow-up orders.

Looking only at immediate profit can hide that wider contribution.

The repeat purchase path gives you another way to judge the product by showing what happens after the first transaction.

This can change which listings you protect, which products receive acquisition budget, and which items deserve stronger visibility in your store.

What Can The Second Purchase Reveal?

The second purchase reveals what customers naturally want once the first product has solved an initial need.

Sometimes the answer is a refill or replacement because the original item has been used up.

In other cases, the next item completes the experience by adding an accessory, another color, a compatible product, or a premium upgrade.

A repeated pairing can show that two products belong together even when they sit in different categories inside your catalog.

That can guide product positioning because the relationship is coming from actual purchase behavior rather than internal assumptions.

It can also reveal gaps where customers are moving toward a product you do not yet promote strongly enough.

How Does The Time Between Purchases Change Your Strategy?

The time between purchases tells you when the next need usually appears.

A short gap may suggest that the second product should have been presented earlier as part of the original buying decision.

A longer gap may point toward replenishment, replacement, or a natural upgrade cycle.

This timing can help you decide whether a bundle makes sense immediately or whether the follow-up product should be promoted later.

It can also help inventory planning because a predictable return window may create a repeatable demand pattern.

The goal is not to force every customer into the same schedule.

The goal is to use a consistent pattern as a planning signal.

How Can You Use Repeat Purchase Data For Advertising?

Repeat purchase data can improve advertising by showing which products create value beyond the first conversion.

A gateway product that leads to strong follow-up sales may deserve more acquisition budget than its first-order margin suggests.

The likely next product may also deserve more visibility because customers have already shown that it fits the journey.

This does not mean moving budget after seeing one interesting order path.

It means looking for a stable pattern, checking the value of the follow-up purchase, and then testing a controlled change.

You can compare results over time and decide whether the extra spend is producing more valuable customers rather than only more first orders.

How Can The Same Data Improve Bundles And Recommendations?

The same path becomes useful for merchandising when two products repeatedly appear in sequence.

A short purchase gap may support a virtual bundle, physical bundle, or clearer cross-sell message on the product page.

A longer gap may be better suited to a replenishment reminder, a later-stage recommendation, or a separate campaign aimed at existing audiences where the platform allows it.

The data can also improve store navigation by placing the next logical product closer to the gateway item.

That reduces the amount of searching a customer must do to discover the product that often comes next.

The most useful action depends on the strength of the pattern, the time gap, the margin, and the operational cost of creating the offer.

Which Sellers Get The Most Value From This Report?

The report is most valuable when customers have a realistic reason to return or buy a connected product.

Consumables can reveal replenishment cycles because customers eventually need another unit.

Beauty, personal care, food, supplements, household products, and pet supplies can often produce clear repeat behavior.

Accessory-driven catalogs can also benefit because the first product may naturally lead to compatible add-ons.

Agencies can use the same view to show clients how acquisition products contribute to later revenue.

Sellers with mostly one-time purchases may still find useful cross-sell paths, but the patterns can take longer to become clear.

How Should You Read The Data Without Overreacting?

The report should be treated as evidence for testing rather than a promise that every customer will behave the same way.

Low sales volume can create paths that look important even though only a few customers produced them.

Seasonality can also change which products appear first and which items are purchased next.

Promotions may temporarily create a path that disappears once pricing returns to normal.

That is why it helps to compare multiple date ranges and check whether the relationship stays consistent.

A useful pattern should make sense commercially, appear often enough to matter, and hold up when you review a broader period.

A Practical Workflow For Using The Report

A simple workflow keeps the report useful without turning every pattern into a major project.

1. Start with the gateway products that bring in the most customers or lead to the strongest cumulative value.

2. Check which products most often appear in the second purchase.

3. Review the average time between the first and second orders.

4. Confirm that the pattern appears across a meaningful number of purchases and more than one date range.

5. Choose one practical test involving advertising, placement, recommendations, or bundling.

6. Measure the result before making a wider change across the catalog.

This process keeps the data connected to a clear business decision.

It also makes it easier to explain the decision to a team, client, or manager because the recommendation comes from a visible customer path.

Watch The Full MerchantSpring Tutorial

The Repeat Purchases report becomes easier to understand when you can see how it fits inside the wider MerchantSpring platform.

The full tutorial below covers the dashboard, channels, customer insights, sales data, profitability, advertising, reports, pricing, and setup.

Frequently Asked Questions

What Is A Gateway ASIN In MerchantSpring?

A Gateway ASIN is the first product a customer bought before making a later purchase from the catalog.

It helps you identify which products are acting as entry points into a longer customer relationship.

Can MerchantSpring Show What Customers Buy After Their First Order?

Yes, the Customer Path report is designed to connect the first product with the product purchased next and show how long the follow-up took.

Can This Data Help With Amazon Advertising?

Yes, it can help you identify gateway products worth testing with more acquisition budget and follow-up products that deserve stronger visibility.

The safest approach is to test changes gradually and measure total customer value instead of relying only on the first sale.

Does Every Seller Need Repeat Purchase Analytics?

The report is most useful for sellers with replenishable products, complementary catalogs, accessories, upgrades, or a realistic path to a second order.

One-time purchase businesses may still find useful product pairings, but they may need more sales history before clear patterns appear.

How Can I Check Whether My Marketplace Is Supported?

Book a free MerchantSpring demo and ask the team to confirm the available customer and repeat purchase data for your specific channel.

Final Thoughts

The real value of repeat purchase data is that it shows what happens after the first sale.

MerchantSpring helps connect gateway products, follow-up purchases, timing, and cumulative value in one practical view.

That makes it easier to see which products bring customers back and which pairings deserve a closer look.

You can then use those patterns to test smarter advertising, better product placement, useful bundles, and more relevant recommendations.

The strongest decisions still come from repeated patterns rather than one unusual order path.

Once a pattern holds up, you have a clear reason to act instead of relying on guesswork.