Product Sales Decline: Causes and How to Respond
Even products that once sold well can lose relative value as competition and customers' reasons for buying change. This guide explains how to diagnose sales declines by separating them into traffic, purchase drop-off, and product issues, and the conditions for responses ranging from expanding uses to a product revamp.
- Initial sales success alone cannot guarantee current product quality and customer satisfaction.
- Relative value is the advantage customers perceive in choosing a product compared with competing products.
- Increased competition, price competition, long repurchase cycles, and changing trends are possible causes of declining sales.
- To diagnose a revenue decline, examine traffic, purchase conversion, and order value separately.
- Expanding uses, changing configurations, expanding into adjacent products, and revamping should be selected based on the confirmed cause.
Even a product that once sold well will see sales decline if competing products and customers' reasons for buying change. However, past success does not guarantee current quality. Consider the possibility of declining relative value, but first separate a drop in traffic from purchase abandonment.
Check the Google Analytics Help Center's purchase journey report for the aggregation criteria used at each purchase stage.
What Is Declining Relative Value?
Declining relative value is when customers have less reason to buy a product compared with other options. Even if the product's features remain unchanged, competitors' terms may change. If a more convenient product becomes available at the same price, the existing product becomes less attractive.
The product's own performance and durability are criteria for assessing quality. Relative value is the benefit customers perceive when comparing it with alternatives. This comparison includes not only price, but also delivery and ease of use.
Initial sales are evidence that customers at the time bought the product under the conditions that existed then. They are not the result of testing inconveniences that only emerge after long-term use. Initial discounts or temporary interest may also have driven purchases.
| Category | Question to ask | Data to review |
|---|---|---|
| Problem with the product itself | Do its features and quality meet expectations? | Defect records, reasons for returns, user reviews |
| Problem with relative value | Is there a reason to choose it over other products? | Competitors' prices, packages, and delivery terms |
| Problem with the sales process | Can interested customers complete their purchases? | Out-of-stock records, payment errors, drop-off by stage |
You should therefore review product problems and changes in the environment together. If you rule out either one first, your response may go in the wrong direction. Compare customer responses and sales records from the same period.
Reasons Sales Decline for a Product That Once Sold Well
Competition, pricing, purchase cycles, and trends are possible explanations for declining sales. However, they are not diagnostic findings that confirm the cause for a specific product. You need to check whether the timing of the actual change matches the sales records.
More Competing Products and Substitutes
When customers have more alternatives to choose from, an existing product may become less distinctive. Competing products are not limited to products with exactly the same features. Products that solve the same inconvenience in a different way are also alternatives.
To compare competitors, first identify the products customers consider alongside yours. Compare selling prices using the same shipping fees and discount terms. For bundles, convert quantities and volumes to the same basis as well.
The SBA's business planning guide lists demand and market saturation as areas to research. Competitive analysis also includes indirect competitors. This provides a basis for not judging the market solely by your own product. SBA business planning guide
Price Competition and the Burden of Advertising Costs
Price competition can change the benefit customers perceive from a purchase. Rising advertising costs can reduce the amount left from the same revenue. Declining sales volume and worsening profitability should be assessed separately.
Google Ads evaluates ad relevance and bidding competition together. It is difficult to predict actual advertising costs based only on the number of competitors. Check changes in advertising costs against the account's actual performance. Google Ads guide to bidding and advertiser competition
There is no basis for concluding that Naver or Coupang always favors new sellers. Specific support promotions and general search visibility are separate matters. When interpreting changes in visibility, check the relevant service's announcements.
Long Repurchase Cycles and Slowing Demand from New Customers
Products used for a long time may have a long interval before existing customers make their next purchase. Furniture and home appliances are products for which frequent purchases within a short period are difficult to expect. Existing customer satisfaction and immediate repurchases do not mean the same thing.
Traffic from new customers may also decline after the initial customers have completed their purchases. However, stagnant revenue for your business alone does not confirm that the market is saturated. You should also check whether there are customer groups you have not yet reached.
Trying to retain customers continuously is not the solution for every product. There is little reason to recommend another purchase to customers who do not need a replacement. Review whether there are maintenance services or related products they actually need.
Changing Trends and Shifts in Purchase Timing
Demand that grew because of a trend or a particular event may weaken afterward. Sales of seasonal products may decline during the off-season. If purchases are concentrated during a discount period, subsequent performance may also appear weak.
You need to distinguish a product's decline from a temporary gap in purchases. Check records from the same season as well as the previous month's performance. If the promotion schedule differed, you may need to adjust the comparison period.
Google Trends shows relative interest, not absolute search volume. A decline in search interest should not be interpreted as an equal percentage decline in sales. Order records need to be reviewed as well to provide a basis for judgment. Google Trends data FAQ
Customers' Reasons for Buying and Sales Copy
Sales copy should help customers understand why they should buy. Simply describing a feature does not explain why that feature is needed. Connect it to the inconvenience it reduces in actual use.
The value customers want is not limited to practicality. The meaning of a gift or the expression of personal taste may also be a purchase objective. However, objectives assumed by the seller need to be validated through customer responses.
When expanding into another market, check whether the existing reasons for buying still apply. Generalizing lifestyles based only on a country's name can cloud judgment. It is better to investigate local customers' usage environments and alternatives directly.
The following questions can be used to identify purchase motivations.
- What inconvenience were you trying to solve with this purchase?
- What other products or methods did you consider before buying?
- What conditions made you hesitate to buy?
- In what ways did your actual experience differ from your expectations?
PMF, which refers to the fit between a product and its market, also needs to be assessed based on current customers. You cannot assume that a positive initial response will continue unchanged among later customers. For products that are rarely repurchased, check customer satisfaction and reasons for recommending them as well.
Summary by Condition: Interpreting Indicators of Declining Sales
Declining sales are easier to assess when separated into traffic, purchase conversion, and order value. Total revenue alone does not show which stage has changed. The table below does not confirm causes, but provides a basis for setting the order of investigation.
| Observed change | Hypothesis to check first | Data to review |
|---|---|---|
| Visits decline, purchase conversion rate holds steady | Reduced visibility, less advertising traffic, change in search demand | Visit records by traffic source |
| Visits hold steady, purchase conversion rate declines | Weaker comparative advantage, change in incoming customers, purchase barriers | Drop-off from product view through payment |
| Number of orders holds steady, order value declines | More extensive discounts, larger share of lower-priced products | Products and discounts for each order |
| New customers decline, existing customer purchases hold steady | Limits in reach to new customers | Traffic sources for first-time customers |
| Repurchases decline, new customer purchases hold steady | Change in purchase cycle, dissatisfaction, shift to substitutes | Subsequent orders by first-purchase date |
| Revenue from advertising holds steady, amount left declines | Higher advertising costs, greater discount and shipping burden | Advertising costs and variable costs by order |
| Only the number of purchases in the analytics tool declines | Changes or omissions in aggregation settings | Order ledger and analytics events |
Using consistent aggregation criteria, revenue can be broken down as follows.
- Total order value = number of visits × orders per visit × average value per order
- Average value per order = total order value ÷ number of orders
- Orders per visit = number of orders ÷ number of visits
Calculate each item using the same period and channel. You should also use consistent criteria for handling cancellations and refunds in order value. If there are no visits or no orders, the relevant division cannot be calculated.
Orders per visit and the percentage of buyers are different metrics. If one person places multiple orders, the two values will differ. Google Analytics also distinguishes between the number of purchases and the number of products purchased. Google Analytics ecommerce metrics guide
Sales Declines Caused by Stockouts and Aggregation Errors
Sales records do not directly reflect customer demand. If a product is out of stock, no order will occur even when customers intend to buy. If measurement is missing, actual orders may not appear on the analytics screen.
Google Analytics recommends checking drop-off at each purchase stage.
The purchase journey report shows the number of users who drop off between each step in the purchase funnel.
The quoted document is the purchase journey report in the Google Analytics Help Center. This report is used to find points where customers encounter obstacles during the purchase process. If drop-off before payment has increased, shipping fees and button errors should also be reviewed. Google Analytics purchase journey report
| Apparent issue | Item to distinguish from declining demand |
|---|---|
| Fewer orders for a popular option | Periods when that option was out of stock |
| More drop-off just before payment | Payment errors, shipping fees, available delivery areas |
| Sharp decline in total sales | Product taken off sale, advertising stopped, site outage |
| Sharp decline in revenue on the analytics screen | Changes to tracking settings, missing purchase events |
| Purchases decline only on some devices | Screen and payment functionality by device |
If the decline is sudden, check these items before changing the product strategy. Changing the product when an outage is the cause will create unnecessary costs. It is better to start by comparing normal order records with analytics figures.
Distinguishing Intermittent Demand from Actual Decline
Intermittent demand is a pattern in which orders occur between periods with no orders. For products ordered infrequently, it is difficult to judge a trend based only on performance over a short period. A gap between orders does not itself mean customers have left.
Demand forecasting textbooks treat the intervals between orders and order quantities separately in this type of data. Applying this approach to sales diagnosis lets you examine the two changes separately. Distinguish whether the interval between orders has grown longer from whether the order quantity has decreased. Explanation of count time series in Forecasting: Principles and Practice
| Demand pattern | Assessment criteria |
|---|---|
| Product ordered consistently | Order trend over comparable periods |
| Product ordered infrequently | Interval between orders and quantity when an order occurs |
| Product affected by seasonality | Performance in the same season and promotion schedule |
| Product with a long replacement cycle | Changes in new purchases and replacement purchases |
Comparison of Revenue Recovery Strategies
Choose a response strategy that matches the identified purchase barrier. Sales declines that appear similar may require different changes. The examples below explain the strategies and are not actual performance cases.
| Strategy | Conditions to consider | Example application | Items to validate |
|---|---|---|---|
| Expand uses | When the existing function also fits other usage situations | Suggesting use of a deodorizer in shoe cabinets and vehicles | Suitability for the use, usage conditions, customer response |
| Change the purpose and offering | When price burden or purchase purpose is a barrier | Gift package, small trial package, refill | Purchase conversion, package cost, repurchases |
| Expand into adjacent products | When existing customers have related unmet demand | Reviewing demand for other products among existing health juice buyers | Additional demand, quality control, replacement of existing products |
| Renew and improve | When specific inconveniences can be reduced by changing the product | Improving a chair's adjustment features or materials | Reduction in inconvenience, changes in returns, improvement costs |
The Difference Between Expanding Uses and Renaming
Expanding uses can be considered when an existing function is also useful in a new situation. Simply changing the name does not make the product genuinely suitable. To expand the places where a deodorizer can be used, first check the product's conditions of use.
A new use can change how customers understand the product. On the other hand, more options may make it harder to choose a product. You need to check whether there is a genuine reason to separate products by use.
The Difference Between Gift Packages and Trial Packages
A gift package is an approach that changes the purpose of the purchase. A trial package is an approach that lowers the cost burden of the first purchase. They address different barriers and should not be treated as the same solution.
| Category | Customer's purchase purpose | Costs to review together |
|---|---|---|
| Gift package | Selecting a product to give to someone else | Packaging, delivery, handling exchanges |
| Trial package | Checking suitability before buying the full-size product | Small-package production, packaging materials, delivery |
| Refill package | Additional use with the existing container | Refill packaging, compatibility guidance |
Do not assume that customers on a particular shopping channel are buying for themselves or as gifts. Purchase purposes can differ even within the same channel. It is more accurate to distinguish them through actual order contents and customer responses.
The Difference Between Expanding into Adjacent Products and Improving Existing Products
Expanding into adjacent products is a strategy that addresses other needs of the same customers. Improving an existing product is a strategy that reduces inconveniences with the current product. Do not decide first that you need to launch a new product. Start by distinguishing the customer's problem.
Even if you expand the lineup within health juices, additional demand needs to be validated. Being in the same category does not prove efficacy or sales potential. You should also check whether a new product merely shifts orders away from an existing product.
Even products with simple designs can have their packaging or ease of use improved. Even feature-rich products will have limited impact if customers do not perceive the difference. You cannot conclude that renewal is effective only for complex products.
The Order for Choosing a Response Strategy
The implementation process should begin by locating where the sales decline occurred and then testing changes. If you increase advertising or the number of products without a diagnosis, identifying the cause becomes difficult. Keep records in the following order.
- Use consistent comparison criteria. Use the same channels and product scope. You should also standardize how cancellations and refunds are reflected.
- Check purchase barriers and aggregation errors. Review stockouts and payment status. Compare actual orders with the figures in the analytics tool.
- Find the metric that declined. Review traffic and purchase conversion separately. Changes in order value should also be checked separately.
- Test a change that matches the identified barrier. Choose the element you want to compare, such as price or offering. If other conditions change at the same time, interpret the results carefully.
- Judge by the amount left and customer response. Do not determine success based only on an increase in orders. Check returns and additional costs as well.
Revenue relative to advertising costs is not the same as profit after deducting costs. Test results should also deduct product costs and expenses that increased with sales. Leaving out packaging, shipping, and fees can make the improvement appear larger than it is.
Check the effect of a new product in the performance of the entire category as well. If sales of existing products declined, not all new-product revenue represents additional performance. You should also review whether external demand changed before and after the test.
Common Mistakes When Interpreting Declining Sales
A common mistake is to expand a single observation into the entire cause. Initial success and current suitability need to be assessed separately. The following interpretations require additional evidence.
| Hasty interpretation | More accurate basis for judgment |
|---|---|
| It sold well before, so there is no problem with the product | Check recent defects, returns, and complaints after use |
| Visibility declined because of new sellers | Check official announcements and changes in your own visibility |
| Few customers repurchase, so they are dissatisfied | Check the product's purchase cycle and usage status |
| Revenue has stagnated, so the market is saturated | Check market demand and customer groups not yet reached |
| Discounts will solve the revenue problem | Compare additional orders with the reduced profit per order |
| Renewal will make customers buy again | Check the improvements customers perceive and their reasons for buying |
| All new-product revenue is additional growth | Check overall performance, including existing products |
FAQ
If a product that was selling well suddenly stops selling, is there a problem with the product?
A drop in sales alone is not enough to conclude that there is a problem with the product. In addition to changes in competition and demand, stockouts or payment issues may also be the cause. Check recent reasons for returns along with changes at each stage of the purchase process.
Does early sales success prove product-market fit?
Early sales are evidence that purchases occurred under the conditions at the time. They do not guarantee long-term satisfaction or purchases by subsequent customer segments. You need to reassess why current customers make purchases.
What does it mean when relative value declines?
It means there is less reason to choose the product over competing products or alternative methods. This can happen even if the product remains unchanged, when other products improve in price or convenience.
Should you lower the price first when sales decline?
Consider it if price has been identified as a barrier to purchase. If reduced exposure or payment errors are the cause, lowering the price is unlikely to solve the problem. You should also compare the amount left after the discount.
What is the problem if advertising costs rise but revenue stays the same?
This is closer to a decline in advertising efficiency or profitability than a decline in sales. Check whether the spending required to generate the same revenue has increased. You should compare the amount left after including product and shipping costs.
Does a low repeat purchase rate mean low customer satisfaction?
You cannot draw that conclusion. For products used over a long period, customers may be satisfied but take longer to make another purchase. Check both the time elapsed since purchase and the product's condition after use.
Is preferential treatment for new sellers causing the decline in sales?
There is no basis for concluding that this is a general cause that applies across the entire platform. Specific support promotions and general search exposure should be distinguished. Check the service's announcements and your own exposure records.
Can you create products for different uses simply by changing their names?
You need to verify that the product is actually suitable for the new use. Changing the name alone does not prove its performance or suitability for that use. First review the conditions of use and the differences customers can perceive.
Should you choose to revamp the product or expand into new products?
If the problem is a specific inconvenience with the current product, consider improving it. If a separate need is identified among the same customers, you can consider expanding into adjacent products. In either case, you need to assess the cost and additional demand.
If there is a long period with no orders, does that mean the product is in decline?
For products that receive infrequent orders, it may be a temporary gap. Compare historical intervals between orders separately from the quantity ordered each time. It is difficult to conclude that a product is in decline based on a short period alone.
Does a decline in Google Trends mean a decline in revenue?
Google Trends shows relative search interest. Changes in search interest are not the same as changes in actual purchases. It should be interpreted together with order records.
What should you check if revenue has declined only in the analytics tool?
Compare the actual order ledger with the purchase records in the analytics tool. You need to check for changes to aggregation settings or missing purchase events. The time periods and cancellation and refund criteria for both data sources must also match.
If a new product sells well, does that mean the expansion strategy was successful?
It is difficult to judge based on new product sales alone. Orders for existing products may have shifted to the new product. Check the additional amount retained across the entire category.
Sources
- SBA, Plan your business: Market research and competitive analysis
- Google Ads, Key concept: Bids and advertiser competition
- Google Trends, FAQ about Google Trends data
- Google Analytics Help, Purchase journey report
- Google Analytics, About ecommerce metrics
- Forecasting: Principles and Practice, 3rd edition, 13.2 Time series of counts
Images
