Your brand has a blind spot.
Social media users share over 3 billion photos a day, and while it’s great when a fan uses your hashtag, most images showing your brand are untagged. What’s more, it’s often the case that the caption and the image conflict (hello, sarcasm), which can easily be miscategorized by traditional sentiment tracking tools. If you’re not “reading” visual content about your brand, you’re missing a big part of the conversation.
Capturing insights with (visual) social listening.
See the whole picture.
With Sprinklr Visual Insights, you can expand your social listening program to include images. The technology allows you to automatically scan billions of photos for logos, brand names, and other unstructured brand-related content, and highlights attributes such as audience gender, sentiment, style, and channel-specific behavior. Sprinklr integrates image intelligence with other social sources to give you a more complete view of your customers and your brand.
“Sprinklr gives us a single view of our customers. It helps us understand what our customers are saying, not only on social but across the web. These insights reveal where we need to focus our resources, to make sure we can be there for our customers when they need help.”
“We chose to work with Sprinklr because their company vision mirrors our own, and we’re on the same page when it comes to making everything about the customer. With Sprinklr, it wasn’t technology focused—it was customer focused, and that’s the key to the whole thing.”
“ [The] Global Social Media Team offers 24/7 support, both listening to and engaging with the voice of our customers. Our guests appreciate our quick response time and personalized interactions for their travel needs, which encourages [guests] to utilize our social channels and share their positive experiences as a result.”
“By layering Benchmarking on top of Listening, we’ve developed a powerful brand health engine, it allows us to get to the heart of trends and shed light on insights that are otherwise hard to unpack.”
“Sprinklr has been a great platform for both our marketing and social care teams,allowing us to really collaborate on improving our customers’ experiences.”
“Our decision with assessing the final two came down to the platforms. Sprinklr has a clean look and feel while the other platforms still felt clunky.”
“Over the past year it felt like audience growth had plateaued and we were having trouble moving the needle. And that’s when I heard about what Sprinklr Audience had to offer. It allows us to reach a fresh audience, which was exactly what we were looking for.”
“We chose Sprinklr for its extensive reporting and management capabilities in order to gain insight into the social activity of our multiple brands and products.”
“I didn’t have to configure anything. It was hassle-free. With other tools, I would’ve spent a lot more time configuring, modifying, and pulling levers myself, which is something I do not have time for with events at this scale.”
“By fully leveraging Sprinklr’s measurement and listening framework to match our global needs, and finally incorporating our own booking and revenue data, we have filled in all the puzzle pieces. We can quickly learn what impacts different aspects of the customer experience and travel purchases on social.”
Turn the endless flow of photos into fresh opportunity.
- Analyze images from across 23+ social channels as well as blogs, forums, news sites, customer reviews, and more.
- Catch visual mentions of your brand, even when the photo is partially obscured or distorted.
- Gain deeper insights into audience demographics, building custom segments to empower marketing outreach.
- See how photo-based content is impacting your business by viewing visual data alongside other metrics in the unified Sprinklr platform.
- Decode what your customers really mean through analysis of facial expressions and photo captions.
- Identify, engage, and nurture advocates who express brand love by posting photos.
- Automatically filter out NSFW images, focusing analytics on your cleanest dataset yet