Speed Up Your Summer Sale: How Better Product Data Accelerates Sales

Clearance is Not Just a Question of Price

During summer clearance sales, many retailers compete for attention simultaneously. While a low price is important, it's rarely enough. Users want to see at a glance if an offer is truly attractive, when the goods will arrive, and what risk they are taking with the purchase. If these signals are missing, friction arises: the click doesn't happen, the shopping cart is abandoned, or the purchase is postponed.

The crucial lever, therefore, lies in the feed. Product data should not only be correct but also highlight the specific reason to buy. For seasonal sell-offs, four differentiating features can be prioritized: Sale Price, Promotions, Delivery Speed, and Return Policy.

1. Clearly Mark Sale Prices

The sale_price attribute directly shows the difference between the original and reduced price. This makes the price saving clear in the ad itself, rather than only on the product page. Especially in a clearance context, this transparency is vital: it shortens the offer evaluation process and helps distinguish genuine price advantages from mere advertising claims.

Impact on the Clearance Funnel: Clear sale price information facilitates comparison and increases click-through and purchase probability.

2. Use Promotions as a Call to Action

Merchant Promotions supplement the reduced price with a specific promotional mechanism, such as a special offer link or a promotion annotation. This makes urgency visually tangible. It's crucial that the promotion is consistent: duration, conditions, and advertised benefit must match across the feed, the ad, and the landing page.

Impact on the Clearance Funnel: Consistent promotions create a buying incentive and support clicks and conversions.

3. Make Delivery Speed Visible

A well-priced product quickly loses its appeal if shipping costs or delivery time remain unclear. The shipping attribute can highlight free and fast delivery options. This way, the feed addresses one of the most common reasons for purchase abandonment: surprising costs or delivery that arrives later than expected.

Impact on the Clearance Funnel: Reliable shipping information reduces uncertainty and helps prevent abandoned purchases.

4. Communicate Return Policies Transparently

Clearance purchases can feel riskier for some customers: Does the size fit? Does the product meet expectations? Does the usual return policy apply to reduced items? With return_policy, these questions can be answered early. Transparent conditions lower the perceived barrier and can build trust, especially for high-value or complex products.

Impact on the Clearance Funnel: Transparent return policies reduce purchase risk and strengthen the willingness to order.

From Analysis to Scaling: Feed Audits in the CSS Center

The four attributes only have an effect if merchants identify and prioritize closing data gaps across their entire assortment. A practical workflow follows four steps:

• 1. Start Centrally: In the CSS Center, check the portfolio on the overview page and prioritize relevant accounts.
• 2. Request MEX: For priority accounts, use the Merchant Excellence Report to systematically assess their status.
• 3. Evaluate Attributes: Review the “Agentic Attributes” scores shown in the report and identify missing catalog differentiation features.
• 4. Enrich Data: Supplement missing information via Supplemental Feeds, instead of completely rebuilding the primary feed for every optimization.

This process combines diagnosis and implementation. Instead of broadly working on the entire feed, teams can first select the accounts, products, and attributes where the greatest business impact is expected. Supplemental Feeds then help to input additional information in a controlled and scalable manner.

Omnichannel: Reduce Excess Stock Where It Sits

For brick-and-mortar retailers, optimization doesn't stop at the online shopping cart. Excess inventory is often located at specific physical locations. Therefore, campaign logic should consider the value of a Store Visit and in which regions or target groups additional demand is particularly valuable.

Link Google Business Profile

First, your Google Business Profile must be linked to Google Ads. Subsequently, your physical locations should be fully and correctly verified. Only with a robust location base can local signals, inventory goals, and campaign control be meaningfully integrated.

Calculate Store Visit Value as a Baseline

A simple baseline is derived from the in-store conversion rate multiplied by the average order value. A simple example calculation uses a 25% conversion rate and 400 Euro AOV:

• Example: 25% In-Store CR x 400 Euro AOV = 100 Euro Store-Visit-Value

This value is not a universal constant. It serves as an operational baseline and should be validated with your own store data. The better the underlying data, the more robustly subsequent bidding can react to the economic value of a visit.

Strategically Use Conversion Value Rules

In the next step, conversion values can be weighted at auction time based on specific dimensions. Two particularly practical applications are:

• Location: For geographical targets with above-average excess inventory, a multiplier can be applied, for example, 2.0.
• Audience: High-value lists, such as loyalty members, can also be weighted more heavily, for example, with a factor of 1.5.

This transforms a general sale campaign into a controllable Omnichannel instrument: Budgets are not only based on online revenue, but on where additional customer traffic contributes the most to sales.

Practical Checklist for the Next Clearance Cycle

• 1. Are sale_price and regular price correctly and consistently maintained for all discounted products?
• 2. Are promotions clear, valid for the duration, and consistent across ads and landing pages?
• 3. Are shipping costs and delivery times fully recorded, especially for free or fast options?
• 4. Are return_policy terms for discounted goods transparent and unambiguous?
• 5. Which priority accounts or product categories show the largest attribute gaps in the audit?
• 6. What missing data can be quickly and scalably supplemented via Supplemental Feeds?
• 7. Are Google Business Profile, Google Ads, and verified locations cleanly linked together?
• 8. Is the Store-Visit-Value validated with your own data, and are multipliers for location and audience justified?

Conclusion: Relevance Trumps Discount Alone

A successful summer sale doesn't start with the size of the discount, but with the quality of decision signals. Sale_price and promotions generate attention. Delivery speed and return transparency reduce risk. A structured feed audit reveals gaps, and Supplemental Feeds close them broadly. And in an Omnichannel setup, location data, Store-Visit-Values, and Conversion Value Rules ensure that demand is precisely directed where inventory needs to be moved.

The key takeaway is: Inventory Velocity is not an isolated campaign goal. It arises from the interplay of data quality, offer communication, trust, and value-based control. Those who consistently connect these four building blocks turn clearance into more than just a discount phase: a plannable process for faster and more profitable sales.