This Moment Changes Everything

Artifical Intelligence
The Future of Internet Marketing

Gain the Competitive Edge

Forrester predicts by 2020, (that’s 2 and a half years from now…) the companies who effectively master AI will steal $1.2 trillion per year from those that don’t. Many of the big tech companies, and a huge number of well-funded startups, are already using Artificial Intelligence and Machine Learning to gain a competitive advantage and plan for their futures.

If you’re not thinking about it yet, hold your wallet because the race is on.

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Here Are 5 Practical Ways AI Improves Marketing Today

Read Article by Anna Russell

Artificial Intelligence
Customer Support
Customer support has been reinvented.
A Partnership with Aivo 
NextGen Intelligent Marketting Solutions along with IBM's Watson now has the power to uncover new levels of actionable insights, deliver impactful and personalized experiences that customers want and value, and discover innovative ideas that provide a competitive edge. Build relationships that drive engagement seamlessly across all channels. Make every touchpoint an opportunity to engage customers as individuals.​​

Watson Customer Engagement

Campaign Automation Core

IBM Watson Real-Time Personalization
Deliver personalized content to each website visitor based on real-time interactions.
IBM Watson Marketing Insights
Identify target audiences and generate critical customer insights to prioritize action.
IBM Watson Customer Experience Analytics
Visualize customer journeys, replay sessions and get the insights you need to create effortless customer experiences

Campaign Automation
Marketing automation powered by Watson

When you have the big campaign picture, you can optimize segments and journeys to drive higher engagement and maximize potential in every channel

Smarter campaigns across channels
Watson Campaign Automation is a digital marketing automation platform designed to put the power of data in the hands of the marketer. Use behavioral data from any source to create consistent campaigns wherever your customers are through channels like email, web, mobile apps, SMS, social, group messaging and more.

Design and automate
Deliver consistent cross-channel experiences for email, mobile, web and social that convert at a higher rate.
Cognitive analytics
Understand and report on customer behavior to make better marketing decisions while driving deeper customer engagement.
Provides faster time to ROI
Connect your marketing ecosystem and stay agile with a scalable, cloud-based platform that integrates with your customer sources and tools.

Key features
Campaign automation
Email, mobile, social, marketing
Lead management and scoring
Customer journey building
Watson Marketing Assistant
Performance insights
Customer support has been reinvented.

We have already handled: 
120,000,000 AI assisted calls
2,500,000+ million hours of conversations
68% savings on customer services costs

Allow us to introduce you to the Technology that has revolutionized Customer Support.
Artificial Intelligence (AI) is dramatically changing business, and chatbots, fueled by AI, are becoming a viable customer service channel. The best ones deliver a customer experience (CX) in which customers cannot tell if they are communicating with a human or a computer. AI has come a long way in recognizing the content – and context – of customers’ requests and questions

Automatic customer support powered by Artificial Intelligence
Automatic telephone support powered by Artificial Intelligence

Artificial Intelligence 
e-commerce recommendation engine
AI-Powered Predictive Intent 
A Partnership with Breinify
Think of the last time you shopped online.
 Information from the DISRUPT SF 2016

You probably navigated to a home page that featured a dozen or so items, only one or two of which you may have actually been interested in.

And while retailers try to use things like purchase history to predict what you want to buy, we all know that never really works.

Why would I want to buy another style of winter jacket if I already bought one for the season?

Luckily Breinify, an e-commerce recommendation engine launching at TechCrunch Disrupt SF 2016, thinks they have a better way

Instead of offering static recommendations based on things like past purchases and browsing behavior, Breinify combines a user’s demographics preferences, current interests and immediate intents to figure out exactly what they want to buy and when they want to buy it.
So what exactly does this data look like and where does it come from? The first part is based on user behavior and comes from actions like which products they view and which links they click on a retailer’s website.
The second part, data from across the web, is collected by Breinify crawling the web for a shopper’s different social identities on sites like Linkedin and Twitter.

These social profiles tell Breinify which types of things you are interested in and other information they may think is relevant. And while the algorithm weighs this social data less than behavioral data that comes directly from a retailer’s site, it is a good backup (and can still let Breinify provide recommendations even if a user has never been to the retailer’s site before).

The last element is the time-dependent part, and that is where Breinify’s AI engine comes in. Because even if a recommendation engine can tell a food delivery site that a user’s favorite food is pizza, what good does this do when the user is on the delivery site at 10am?

A good recommendation engine needs to realize that a customer isn’t going to order pizza for breakfast and be able to offer a customer their favorite coffee instead of their favorite overall food.
And that’s exactly what Breinify does.

This sounds extremely complicated, and it is. But the startup has figured out how to package it in a way that is almost stupidly simple for a retailer to use — all they do is add a line of code to their site, which calls a custom API whenever a customer lands on the site. A few milliseconds later the API sends back a list of products that Breinify has determined a customer wants to see

Watson Real-Time Personalization
Deliver personalized content to each website visitor based on real-time interactions.

What it can do for your business
Watson Real-Time Personalization helps digital marketers improve customer experience and makes personalization easier by learning through each interaction and delivering the right content to each visitor in the context of their previous interactions with the brand

Acquire more contacts
Respond to visitors’ interests in real time with targeted messages and make a case for them to continue engaging with your brand.
Enhance customer experience
Enhance customer experiences by delivering personalized content, based on the rules and data you have.
Boost marketing effectiveness
Use the power of cognitive to learn from every customer interaction and continually improve your customer engagement.

Key features
Visual personalization management
Targeted content delivery
Cognitive personalization
Enhanced customer experience

Feature spotlights
Visual personalization management
Offers a marketer-friendly visual personalization editor that allows you to select a zone on a web page and establish personalization rules and content.

Targeted content delivery
Allows marketers to track web behaviors for known and anonymous visitors and deliver the most relevant content.

Cognitive personalization
Learns through each interaction and delivers the right content to each visitor within the context of their previous brand interactions.

Enhanced customer experience
Enhance customer experiences by delivering personalized content, based on the rules and data you have.

IBM Watson Marketing Insights

Cloud-based solution that surfaces critical customer insights and recommends target audiences to help marketers drive more effective customer interactions

What it can do for your business
IBM Watson Marketing Insights provides cognitive recommendations designed to help marketers understand and anticipate customer behaviors. It recommends prioritized target audiences based on key predictors, or lets you explore your own, creating segments based on a rich profile of customer data compiled from multiple sources utilizing complex and robust queries. You can export the resulting target audience lists to any requesting application across channels in just a few clicks. Use the visual interface to construct the most impactful audience for your campaign strategies, becoming more relevant to your customers and the customer journey.

Discover cognitive audiences
Dynamic, cognitive audience generation allows you to stay in tune with your business and keep a finger on the pulse of your customers, enabling you to be pro-active and customer centric.

Designed for the marketer
The analytics has been pre-built, and the visual, interactive interface allows you to explore customer insights and behaviors with no technical skills required.

Connect seamlessly to campaign execution
Pre-integration with IBM Watson Campaign Automation allows you to push your target audiences straight into your campaign process; export to other campaign systems through Universal Behavior Exchange.

Key features
Rich, prebuilt analytics
Insights explained in natural language
Recommended target audiences
Custom audience builder based on cognitive insights
Swift export of audience lists for execution
Automated data and model refre

Feature spotlights
Rich, prebuilt analytics
Prebuilt, predictive analytic models designed to support key marketing objectives allow marketers to gain instant insights into customer trends and predicted behaviors.

Insights explained in natural language
Outcomes of the analysis are depicted graphically, while key predictors (the reasons behind the recommendations) are presented in natural language – no complicated math to understand.

Recommended target audiences
Automatically identifies high priority, high-impact target audiences based on key behavioral drivers.

Custom audience builder based on cognitive insights
The highly visual, interactive user interface allows marketers to experience insights in a contextual way and create simple or even advanced segments utilizing complex and robust queries.

Swift export of audience lists for execution
Audience lists are pushed in one-click to Watson Campaign Automation or (Standard Edition only) to IBM Universal Behavior Exchange for execution through any campaign platform.

Automated data and model refresh
Dynamic segment profiling enables you to create meaningful segments for targeting every time, while also automatically refreshing audience memberships.

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IBM Watson Customer Experience Analytics
Visualize customer journeys, replay sessions and get the insights you need to create effortless customer experiences.

What it can do for your business
IBM Watson Customer Experience Analytics allows you to view your sites and apps from the customer perspective to discover opportunities. It provides a seamless, end-to-end view of the customer experience to understand and optimize every journey and gives you the insights you need to resolve issues, boost conversions and maximize lifetime customer value.

Visualize the customer journey
Visualize complete, cross-channel customer journeys across devices and over time. Know where customers are in their journey and learn how activity in one channel impacts performance in another.
Re-live customer experiences
See where customers struggled and pinpoint trouble spots. Replay sessions to see what your customer experienced. Identify opportunities to improve the customer experience and refine the journey.
Gain the insights you need
Bring together customer experience insights from multiple channels in a unified dashboard. Identify trends and understand root causes. Get immediate insight to go from question to decision in minutes.

Key features
Role-based dashboards
Customized top line metrics provide quick access to business conditions and customer experience activity
Session replay

Summarized session views and detailed session replays of all sessions—whether on the web, mobile app or hybrid app—provide a deep understanding of individual experiences.
Journey analytics

New multi-channel path analysis provides a holistic understanding of customer journeys.
Mindset analysis

Understand which events impact discovery, purchase consideration and advocacy to increase conversion, revenue and customer loyalty.
Flexible reporting

Offers pre-built and customizable digital analytics reports, rich segmentation and syndication of customer behavior audiences, traffic and funnel reporting with actionable insights.
Eventing and Alerting

Provides struggle detection and behavior reporting that pinpoint where and why experiences are occurring; powerful event and alert engines provide the ability to act on insights.
Site optimizatio
Uncover usability flaws that cause customers confusion and struggle; compare segments side-by-side to optimize experience, content and campaigns.

Cognitive Content Management

Customer Experience and the Power of Cognitive