How PIM and DAM Systems Close the Product Experience Gap
What is “product experience,” and why do customer expectations about a product or service exceed their actual experience? How can marketers use data to close that gap?
“Product experience” is just a fancy way of labeling how we feel—our emotional and practical responses to seeing or hearing something about a product, buying it, using it for x-number of days or years, and telling others about it.
Marketing pros call it a “journey” or a “lifecycle.” They use product images and descriptions to expand their message from “what the product is” to “what it feels like to own it and use it over time.”
Marketers use product images and descriptions to expand their message from “what it is” to “what it feels like to own and use it.”
While that all sounds great, it’s not an easy thing to achieve at scale. Customer expectations begin when they first see images and information about the product. But if that information doesn’t match the actual product, or if it varies across channels, disappointment (and financial loss) will result. The only way to close that gap is to make sure that systems for product information management (PIM), digital asset management (DAM), and all other data systems are unified across all channels and platforms.
Building Confidence and Trust
When key product details are missing or unclear, customers hesitate—or even refuse to make a purchase. They also have many different ways to find and learn about a product. They can shift at will between websites, mobile apps, social media conversations, printed catalogs or flyers, and physical locations. If all that data is kept in isolated silos, the potential for mistakes is enormous, multiplying the potential for hesitation and mistrust.
How can marketers build a consistent and trustworthy brand message across multiple channels?
The answer is in how all that data is connected. To build a consistent, trustworthy brand message across multiple channels, everyone in the organization must use a “single source of truth” data model when it comes to product information. Robust data integration inside a multichannel marketing workflow
ensures that all users see the same information—from descriptions to sustainability claims to usage guidance—no matter what channel they use. Whether they’re seeing the product for the first time, buying it, or using customer support, that consistency will build confidence and trust in your brand.
The Customer Service Factor
When anyone buys a product, they expect it to match every aspect of how it was presented from the start. The images in a catalog, on an e-commerce website, or in a mobile app gallery must be appealing, informative, and above all, accurate. If an image is incorrect or outdated, the product will be returned, with a hit to your bottom line.
Similarly, if key information about the product (descriptions, compatibility with other products, and, of course, price) is wrong or inconsistent, it’s another financial hit. Multiply that by thousands or millions of individual products, and the potential risk becomes enormous, putting pressure on your customer service teams.
How does a unified approach to product data reduce returns, protect margins, and enable better customer service?
However, if you have a unified, non-siloed approach to product information, digital assets, and other key data, you will have a proven way to greatly reduce returns and protect profit margins. Instead of your customer service teams issuing refunds to compensate for poor or missing information, they will instead be focused on meeting customer needs—with access to all the right user guides and other key product information.
The Reliability Factor
When making buying decisions, customers rely increasingly on sustainability, sourcing, and transparency—while continuing to demand competitive pricing and product reliability. Communicating (and living up to) all these values consistently requires well-structured product data and well-governed media assets. Without a high level of control of this information, and an equally high level of messaging automation you are likely to be considered less reliable than your competitors.
When it comes to data, what are the main contributors to a company’s reliability?
The main data contributors to a company’s reliability are the accuracy, consistency, and trustworthiness of its product information. Incomplete, incorrect, or inconsistent data can doom a product’s perception and paint the company as an unreliable partner. And,
as social media reviews proliferate, seemingly small mistakes can mushroom rapidly into bad press. Think of each missed data point as a “small” leak in the dike that can turn into a flood of ill will and mistrust.
To counter this, the entire organization must have a strategy to coordinate all of its product data—from manufacturing through planning, marketing, promotion, and fulfillment. When all teams can quickly access and use trusted product information and approved assets, they can respond faster to messaging requirements and customer needs. Connected content operations reduce internal friction and support smoother communication and service experiences.
None of this can happen when data is siloed and when manual processes are the rule, not the exception. Product experiences can only scale when data, assets, and workflows all work together. Fortunately, platforms like Comosoft LAGO can connect PIM, DAM, planning, and multichannel
Product experiences can only scale when data, assets, and workflows all work together.
production in a unified content operations workflow. This setup enables better message reuse, faster adaptation, and, above all, consistent product experiences across markets and channels.
Product experiences are only as strong as the information systems behind them. If your product data and digital assets are managed in isolation, you may be widening the experience gap without knowing it. Schedule a demo to learn how Comosoft helps organizations unify PIM, DAM, and content operations to deliver consistent, trusted product experiences at scale.
