Winner: Best Use of Content Involving Artificial Intelligence
Our conversational display ad format is compatible with leading DSPs and SSPs
Built to IAB-standard HTML5 specifications, we offer seamless compatibility with leading demand and supply-side platforms.
In-app conversations for your social campaigns on Twitter, Instagram, Facebook, LinkedIn, and Messenger.
Replace static, low-engagement landing pages with engaging interactive conversations.
It’s the same experience that runs in our display ad format, enabling advertisers to reach their audiences in multiple channels.
Our conversational interface loads instantly – triggered by an ad or a link in organic posts – to provide a seamless, in-app experience.
AdChat uses AI-powered messaging (machine learning and natural language processing) to provide an experience that’s simple and intuitive.
Voice-enabled (on mobile)
Text and Emoji
Analytics that are actually actionable.
By tracking conversations, advertisers can see the most popular/widely requested content, and seamlessly fill in gaps if a need for more or missing content exists.
But wait, there’s more…
We provide on-demand analytics for how users are engaging with an ad, including number of active users/sessions over time, average session length, number of messages sent per session, clicks/paths to external URLs and any unrecognized messages sent to the ad.
Book a demo to get all the details.
This is the most comprehensive guide you'll find on conversational advertising. If you're currently running some combination of programmatic display ads, social campaigns, and static landing pages – this guide will teach you everything you need to know about how...
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When Google rebranded its ad platforms (Adwords, Doubleclick, etc.) last year, the naming conventions were a little confusing. Google Ads and Google Ad Manager sound like they should be pretty similar - or maybe even the same thing - or at least closely related? Alas,...
Machine learning and NLP
AdChat’s conversation manager is powered by Machine Learning (ML) and Natural Language Processing (NLP).
What does that mean, exactly?
It means that AdChat uses ML and NLP to understand the intent behind a user’s question or comment, so that relevant and meaningful responses can be delivered back to them.