Data quality for retailers

Leverage Data Ladder’s retail solutions to break down data silos, enhance the shopper experience, ensure faster deliveries, and uncover profitable customer segments.

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How bad data affects retailers?

80%

Retailers are uncertain about their product data accuracy

80 percent of retailers are not confident in their product data and 86% of consumers are unlikely to buy products from a brand after experiencing inaccurate product information.
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High return rates

Inconsistencies and errors in product attributes can mislead shoppers into purchasing the wrong items, resulting in high return rates.

Lack of customer personalization

Incomplete or inconsistent data can limit the ability to personalize campaigns for new purchases, cart abandonment, and more.

Late shipping orders

Missing street names, apartment numbers, or unverified addresses can result in missed or delayed orders, leading to increased customer complaints.

Poor campaign response

Low email sender reputation and deliverability, as well as missed direct mail deliveries, can result from inaccurate or outdated email and phone data.

Inefficient inventory planning

Silos in point-of-sale and inventory data can lead to large volumes of slow-moving stock or out-of-stock situations.

Missed sales opportunities

No single customer view restricts segmentation and hinders the identification of high-value revenue opportunities.

Solution

DataMatch Enterprise – Achieve a single customer view

Data Ladder’s DataMatch Enterprise provides robust data cleansing, standardization, matching, and other solutions to improve the quality of your customer and transaction data. Verify and validate customer addresses for faster order shipments, and reconcile unresolved customer identities to ensure accurate invoicing.

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Customer Stories

See what retailers are saying...

With DataMatch™, we were able to really increase the number of people we communicated with this year.

Accounts Payable Manager, Arlington Power Equipment

The main benefit of DataMatch Enterprise™ was the fuzzy logic and synthetic matching. It was just something I couldn’t reproduce myself.

Marty YantziePC Support & Systems Development Manager, Buckle Denim Retailer
Marty Yantzie

Kingfisher was able to populate their online store and give their customers more accurate search results with standardized product attributes, subsequentially increasing their online sales dramatically.

Kingfisher

Business Benefits

What’s in it for you?

Enrich customer experience

Optimize the customer in-store and e-commerce experience with improved listings, clear categories, and the elimination of duplicates.

Ensure faster deliveries

Standardize addresses using the prebuilt USPS database and pinpoint delivery coordinates with ZIP+4 values for faster, more accurate shipping.

Streamline inventory levels

Leverage clean data to make accurate forecasts for stock ordering, ensuring optimal inventory levels during both peak and off-peak demand periods.

Enhance email campaigns

Improve email campaign performance—sender reputation, inbox placement, and open-to-click rates—by removing outdated and incorrect addresses.

Uncover profitable segments

Identify lucrative cross-sell and upsell opportunities using consistent, reliable data on customer purchase history, average order value, and other key signals.

Gain a single customer view

Break down data silos to track customer information across multiple touchpoints, enabling omni-channel marketing, segmentation, and retention.

Why Data ladder

Want to know more?

Check out DME resources

Merging Data from Multiple Sources – Challenges and Solutions

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