Bazaarvoice Contextual Commerce™ for enterprise
Real-time, AI-powered shopping experiences that unlock hidden revenue
Granify is now part of the Bazaarvoice platform
Use shoppers’ real-time behavioral data to deliver perfectly timed, intelligently tailored shopping experiences that delight both known and anonymous shoppers, all while boosting incremental sales from your website traffic.
Trusted by the world's largest retailers including:
The Contextual Commerce decision engine
Turn browsers into buyers with the market's most advanced AI powered by 12 years of trillions of data points and the industry's largest library of conversion-driving campaigns.
ENHANCE EVERY MOMENT
Intelligent tech that drives incremental revenue
With advanced machine learning, you can deliver the highly relevant experiences today’s shoppers crave, at exactly the right moment. It’s tech that improves over time so you’ll see more revenue from it – true incremental revenue – above and beyond the results you’re already seeing today.
REACH MORE SHOPPERS
Personalized experiences for both known and unknown shoppers
Built for flexibility, Contextual Commerce works seamlessly with your existing tech stack, whether you’re starting fresh or augmenting your current personalization efforts. Either way, everyone who visits your website or app gets the best experience (whether new to the site or not).
WE HANDLE IT ALL
A truly all-inclusive managed service, for maximum results
Successful campaigns demand expertise and relentless execution. With our fully-managed Contextual Commerce service, you get both. With over a decade of personalized shopping journey crafting experience, our experts handle everything for you – from strategy to execution – delivering maximum results.
Our comprehensive service, which encompasses data scientists, campaign experts, ecommerce specialists, and more, is key to unlocking maximum conversions and ROI. With continuous optimization and transparent reporting, we’re committed to driving results.
How much are you missing out on?
Tell us about your business and we’ll calculate how much extra revenue Bazaarvoice Contextual Commerce could earn you!
Pay only for proven impact
We prove our value first - and only ever charge for the incremental revenue we generate With Bazaarvoice Contextual CommerceTM, you'll only pay for the incremental revenue we unlock. We also prove our value upfront with a free value validation period so you can see your revenue lifted firsthand before you launch your full campaign. From the AI algorithms powering our decision engine to your meticulously planned and executed campaigns, everything is laser focused on lifting sales and increasing revenue.
FAQs
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What is contextual commerce?
Contextual commerce is the process of creating dynamic, AI-powered online shopping experiences using website visitors’ real-time actions and behaviors during their current session.
While personalization and contextualization are closely connected, they couldn’t be more different. Unlike personalization, contextual commerce is an automated approach that interprets each shopper’s digital body language to anticipate their needs. This can include everything from the shopper’s current location and device to their individual actions.
Because contextualization continually adapts and tailors the customer experience in real-time, it’s more dynamic and responsive than personalization. The result is relevant information and recommendations that align with each shopper’s immediate needs.
To learn more, check out our e-book on Contextualization and Personalization: the difference between them, implementation methods, and how these two strategies can work together to supercharge your commerce engine.
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What is digital body language?
Digital body language represents an online shopper’s intent, preferences, and engagement on a website through behaviors such as clicks, scrolls, and search queries.
Digital body language is similar to the physical cues an in-person shopper makes in a brick-and-mortar store (such as searching for a specific item or giving a sales associate the evil side-eye).
For example, when a website visitor exhibits a series of back-to-back clicks in the same spot, this might indicate urgency or a problem with the website’s content. Another example is prolonged inactivity, this could suggest disinterest or that the website is lacking the right information.
By interpreting digital body language, contextualization technology can both understand and anticipate each shopper’s needs and preferences, resulting in a more intuitive and personalized experience.
