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<div class="case-study-heading-white">MARKETING</div>
<h1 class="display-heading-2">Data predictions for the Marketing industry</h1>
<div class="large-text">Predict customer behavior, build personas and identify top demographics.</div>
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<h4>Marketing and AI</h4>
<p>Whether it’s social media, digital advertising, buyer personas, content marketing, or any other
new influencer solutions, today's marketers need to engage with prospects and customers on an
increasingly personalized level. Making broad marketing strategies, less impactful than before.
</p>
<p>That’s why forward-thinking companies are turning to machine learning and artificial intelligence
(AI) to predict both customer and prospect behavior at an individual level, resulting in
improved customer relations, operations, and return on investment (ROI). This allows innovative
marketing teams to uncover business insights hidden in large sources of data like customer
surveys, website traffic, purchase behavior, and more. With machine learning, marketers can
enhance targeted campaigns, boost revenue for the organization, improve customer service, and
optimize operations throughout the department.</p>
<p>But for most marketers, getting started quickly with this new technology seems impossible without
an army of software engineers. We are here to change that-- Kaiyo automates machine
learning so you can run data predictions in minutes with just a few button clicks.</p>
<p>Below are some of the top use cases of Kaiyo's predictive analytics in the Marketing
industry.</p>
<h5>1. Predict Churn and Lifetime Value (LTV )</h5>
<p>Determining the value of each customer, including likely future spending and the resulting profit
margins, is a vital factor in deciding where to aim personalized marketing efforts. Lifetime
customer value models determine the likely profit each individual customer will generate over
the entire customer relationship, as well as when a customer is likely to churn; allowing
marketers to focus their efforts on those likely to be most profitable eventually <em>reducing
churn</em> and <em>increasing revenues</em>.</p>
<h5>2. Predict Net Promoter Score (NPS )</h5>
<p>With data from customer satisfaction surveys, Kaiyo can uncover the factors contributing
to a customer’s net promoter score. Eventually by applying these predictions to customers not
included in the survey, companies can predict those customers' likely scores and focus their
efforts on those likely to be most loyal. These insights allow marketers to understand the true
drivers of customer experience and effectively focus their resources on its improvement.</p>
<h5>3. Funnel Modeling</h5>
<p>Marketers want to know how likely website visitors are to provide contact information, ask for
further product details, or purchase a particular product. Kaiyo's predictions can offer
unprecedented insight into visitor behavior, allowing businesses to optimize their web design
and product offerings accordingly.</p>
<h5>4. Next Best Offer, Cross-Sell and Up-Sell</h5>
<p>Retaining and developing existing customers is much more cost-effective than acquiring new ones,
and marketers that effectively encourage purchases from existing customers get the most lifetime
value from each customer. Using customer demographic and purchase data, Kaiyo can
identify which customers will be interested in other products and which customers will be
interested in upgrading existing products. Allowing marketers to determine which touch points
will likely result in the desired action.</p>
<h5>5. Multi-channel Marketing Attribution</h5>
<p>Despite the million-dollar budgets for online advertising, content creation, TV ads, and other
initiatives, business can’t reliably attribute a sale to the specific marketing activity that
resulted in that sale. Kaiyo can predict how each touchpoint affects sales, determine
which are the most effective, and reveal how different campaigns affect buying patterns in order
to optimize ROI.</p>
<h4>Why Kaiyo?</h4>
<p>Kaiyo enables every business user at your organization to become a data scientist and run
multiple predictions experiments in real time. While alternatives can be costly and extremely
time consuming (~weeks OR months), Kaiyo delivers machine learning models in less than 1
minute. We strive to ensure that both you and your clients, win.</p>
<ol start="1" role="list">
<li><strong>Incredible speed:</strong> While alternatives can painstakingly take weeks or months
to build an ML model, Kaiyo delivers predictions in less than 1 minute.</li>
<li><strong>Built for Business Users:</strong> Most ML tools can be daunting to look at as they
are heavily tailored for expert engineers. Kaiyo is designed for Non-Technical user
looking to not only build ML predictions but also take business action.</li>
<li><strong>Self learning</strong>: Predictions made using Kaiyo auto update as new data
flows in, allowing them to self-learn in real time based on feedback from the real world.
Allowing your predictions to get better over time.</li>
</ol>
<blockquote>“We were crazy impressed and realized we could do everything we wanted far easier
without learning R or writing code.”<em> <br>- Dan Parry, Tectonic London</em></blockquote>
<p>Join 1500+ businesses using Kaiyo to transform your business by running Machine Learning
predictions.</p>
<p>To get started, <a href="/pricing">begin your 14-day free trial now</a>.</p>
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<div class="case-study-heading">GAMING</div>
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<h3>Data predictions for the Gaming industry</h3>
<div class="large-text">Optimize performance, increase viewership, find top
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