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7 mistakes when implementing a Price Drop workflow in e-commerce

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A Price Drop workflow can be one of the most effective automations in e-commerce. It targets users who have previously shown an interest in a product and informs them of a price drop at exactly the right moment to encourage them to complete their purchase.

The problem is that whilst the idea itself is simple, implementation requires careful preparation. A poorly configured workflow can send too many notifications, direct messages to the wrong people, or inform customers about products they can no longer buy.

As a result, a scenario intended to boost sales may actually lower the quality of communication, annoy users and generate unnecessary operational issues. That is why it is worth knowing which mistakes to avoid right from the configuration stage.

If you want to learn the basics first, check out the article: How does the Price Drop scenario work and how can you benefit from it? >>

1. Triggering the scenario when the price reduction is too small

One of the most common mistakes is sending a notification for every price change, even a minimal one. When the price difference is barely noticeable, the message loses its impact. To the customer, such a ‘promotion’ may look more like a technical update than a genuine shopping opportunity.

price drop – too small a reduction

That is why it is worth setting a minimum discount threshold in the Price Drop scenario. This can be a percentage, a fixed amount, or dependent on the product category. We would treat a 20 zł discount on cosmetics differently from one on electronics costing several thousand zł.

2. Failure to check product availability

Price Drop loses its meaning if the customer receives information about a price drop on a product they cannot buy. This is one of those errors that very quickly ruin the user experience.

The scenario should always check the current product availability before sending a notification. This applies not only to the product itself, but also to specific variants: size, colour, model or capacity.

If the user was viewing black shoes in size 39, but only a different colour or size is available, the communication may be pointless. In such a case, it is better to halt the workflow or redirect the customer to similar products.

3. Sending a notification to a customer who has recently purchased a product

A major mistake is failing to check whether the customer has recently purchased the product in question. The system may assume that, since the user was interested in the product and the price has dropped, it is worth sending them a notification. For a customer who has already made a purchase, however, such a message can be frustrating.

Imagine the situation: you bought a product a few days ago, and shortly afterwards you receive a message that the same product is now cheaper. You may feel disappointed, irritated, or as though you made a bad purchasing decision.

Such a mistake can also generate real costs. Some customers may decide to return the product and reorder it at a lower price. Therefore, the Price Drop scenario should exclude people who have purchased the product within a specific timeframe, e.g. within the last 14 or 30 days.

4. An overly broad recipient list

Not every user who has visited a product page once should receive a price drop notification. A random click does not always indicate a genuine intention to buy.

If the audience list is too broad, the scenario loses its precision. The message reaches people who are not interested in buying, which reduces the campaign’s effectiveness and may increase the number of unsubscribes.

A better solution is to base the list on stronger signals. These could include adding a product to the cart, returning to the same product page, saving a product to a wishlist, or clicking on a product in a previous email campaign.

5. Sending notifications too frequently

Price Drop is designed to help the customer make a decision, not to bombard them with messages. If a user receives several messages about different price drops within a short period, the effect may be the opposite of what was intended.

Excessive notifications reduce the quality of communication and may cause the customer to become accustomed to ignoring messages. In extreme cases, this leads to unsubscribing from the newsletter, disabling push notifications, or a negative perception of the brand.

Therefore, the workflow should include frequency limits. It is worth specifying how many Price Drop messages a user can receive within a given period and what interval should elapse between subsequent messages.

6. Failure to match the communication channel

Another mistake is sending all notifications via a single channel, regardless of the user’s behaviour and preferences. Remember: not every customer reacts in the same way to email, SMS or push notifications.

Email works well when you want to showcase a product, a new price and a button leading to the shop. SMS can be effective for short, urgent messages. Push notifications, on the other hand, work well for app users or those who respond quickly to notifications in their browser.

In the Price Drop scenario, it’s worth using a multi-channel approach, but in moderation. Channels should complement each other, not compete. If a user has responded to an email, there’s no need to always send them an additional SMS.

7. Failure to analyse results and optimise the scenario

The final common mistake is implementing a scenario and leaving it without further monitoring. Price Drop should not be an automation set up once and for all.

It is worth regularly checking whether notifications are being opened, clicked on, and whether they lead to actual sales. The number of messages sent alone does not yet indicate whether the workflow is functioning effectively.

The most important metrics include clicks, conversion, revenue, recovered carts, the number of unsubscribes, and the campaign’s impact on profit margins. If the results are poor, it is worth reviewing the discount thresholds, the recipient list, the message content, the channels, and the sending frequency.

Want to implement Price Drop without these mistakes?

A well-designed Price Drop scenario requires not only automation, but also the right data, conditions, segmentation and control over sending frequency.

If you’d like to see how such a workflow could work in your online shop, speak to our expert for a free consultation.

expertsander

Summary

A Price Drop scenario can effectively boost sales, but only if it is well-designed. The most important factors are up-to-date data, appropriate conditions for triggering the workflow, product availability checks, and the right selection of recipients.

It’s also worth remembering that good automation isn’t about sending as many notifications as possible. Its aim is to send the right message to the right user, at the right time and via the right channel.

If you take care of these elements, Price Drop can become not just a simple scenario informing customers of a lower price, but a real tool for increasing conversions, winning back customers and building a better shopping experience.

See also: Discover Hollywood-style scenarios to boost sales in your e-commerce business >>

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