For months we’ve stressed the need for relevant and unified commerce — a cohesive shopping experience built on a foundation of consistent product, price and promotional information that’s tailored to the touchpoint and the individual, taking into account all their interactions with the brand regardless of where and when they occur.
That lofty goal is now within closer reach for MarketLive’s merchants, thanks to two innovations announced at this week’s IRCE show in Chicago, both of which enable seamless data exchange to provide the most relevant experience possible.
Launched into public release yesterday, the ML API is a RESTful web service that allows real-time access and data exchange between MarketLive and external data sources.
The ML API enables access by front-end apps to information such as inventory levels, product descriptions, pricing, customer preferences, order history, loyalty points, and any other contextually-related content that is held within the MarketLive Engine.
“Customers asked us to free MarketLive data in the system for use throughout the entire organization,“ said Ken Burke, founder and CEO of MarketLive Inc. “And this delivers the right balance of data exchange that our fast growing commerce customers and partners told us they want and need as they succeed moving forward.”
Using the ML API, MarketLive merchants can:
- Syndicate their data anywhere, and create dynamic profiles
- Target ads more accurately by enabling MarketLive data access by ad networks
- Sell anywhere, pulling product data into content or community sites to cross-sell or upsell
- Enable access to MarketLive data for partners developing their own apps
Complementing the data exchange with external data sources provided by ML API, MarketLive announced this morning the launch of ML-360, which provides merchants with a 360-degree profile of customer browsing and purchase behavior by capturing and analyzing consumer behavior online and offline, and combining previously disparate backend data silos.
MarketLive’s ML-360 answers the need for retailers to convert more online browsers into buyers, to grow one-time buyers into repeat purchasers, and to retain valuable lifetime customers.
ML-360 was developed in partnership with AgilOne, whose predictive technology empowers marketers to execute highly targeted acquisition, growth and loyalty campaigns. AgilOne’s predictive marketing technology uses fuzzy matching and other sophisticated algorithms to ‘connect the dots’ among customer data to find incremental sales opportunities through highly targeted offers based on profile behavior.
Luxury footwear and accessories brand Donald J Pliner, a MarketLive merchant, leveraged AgilOne’s capabilities to merge its customers’ digital and physical identities into complete customer profiles, creating a unified view of its customers for the first time. The brand was then able to identify a forgotten segment of repeat buyers and launch successful reactivation campaigns targeting them. The company was also able to identify VIP customers, understand their repeat purchase patterns and communicate with this important segment at the right times. As a result of these and other strategies, the company’s online revenue has grown by nearly 50 percent over the past two years.
To learn more, read the official releases:
- MarketLive Launches ML-360 to Give Retailers a Complete Picture of Customer Preferences and Purchase Intent
And, if you’re at IRCE, stop by MarketLive’s booth (#1601) for further details.