A tool for finance leaders to unify disparate customer data with financial and strategic ROI
If you’ve found yourself sweating in a smoky billiard room, wondering what role customer data should play in finance—as well as in your company’s long-term strategy—this eBook will help you hone your pool shark skills.
Inside, you’ll find insights about….
• How to identify patterns in your customer portfolio, and why it matters.
• Avoiding four critical data billiard blunders.
• Key questions to ask while you’re segmenting your data.
• How to tell if your portfolio segmentation strategy is working with the right reporting.
This eBook will help you navigate the crowded billiard room of customer data and how you can use it to drive cross-functional value for your team.
Published By: Cognizant
Published Date: Oct 23, 2018
In the last few years, a wave of digital technologies changed the banking landscape - social/ mobile altered the way banks engage with customers, analytics enabled hyper personalized offerings by making sense of large datasets, Cloud technologies shifted the computing paradigm from CapEx to OpEx, enabling delivery of business processes as services from third-party platforms.
Now, a second wave of disruption is set to drive even more profound changes - including robotic process automation (RPA), AI, IOT instrumentation, blockchain distributed ledger and shared infrastructure, and open banking platforms controlled by application programming interfaces (API). As these technologies become commercialized, and demand increases for digitally-enabled services, we will see unprecedented disruption, as non-traditional banks and fintechs rush into all segments of the banking space. This whitepaper examines key considerations for banks as they explore value in the emerging Digital 2.0 world.
Retailers continue to collect this data and many have made good use of it, segmenting and targeting customers and rewarding loyal behavior with discounts and offers. Still, many sense that there’s untapped potential. They’re right. With the cost of data storage plummeting and the capabilities of analytical tools on the rise, this data’s value is set to skyrocket. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail shares his view on how insights from these vast data storehouses can scientifically inform retailers’ decision-making in critical strategic, tactical and operational areas, including category management, shelf space allocation and new product introductions.
Published By: Qualtrics
Published Date: Oct 04, 2018
Every product needs a target audience. Market segmentation identifies subsets of a market based on demographics, needs, priorities, common interests, or other psychographic or behavioral criteria to better understand and communicate with that audience.
Segmentation can be as simple as splitting your potential market into age ranges or as complex as dividing your audience based on subtle behaviors, values, or beliefs.
To be truly useful, segmentation should enable you to target core groups of your potential customers with precision. Practically speaking, segmentation enables you to:
• Boost demand with messaging that resonates more with your market
• Grow your customer base by understanding what drives purchase behavior
• Increase revenue and profitability by discovering which customers will pay a premium for
• your product
As media and channels proliferate with the upsurge in digital touchpoints, we have access to massive volumes of customer data. This leads to the personalization of customer interactions that drive customer strategy as a business strategy.
An effective marketing investment strategy will help you take inventory of your current measurement framework and develop a more accurate, reliable and consistent strategy for assessing and improving the performance of your marketing spend.
Published By: iKnowtion
Published Date: Nov 09, 2011
The financial services marketplace has changed dramatically, prompting many to review their marketing strategies. Find out how market segmentation, customer profitability, and customer mapping were used to help this company deliver desirable value propositions to customers.
Published By: Marketo
Published Date: Aug 02, 2016
The Definitive Guide to Lead Nurturing covers everything you need to know to get started using lead nurturing to drive revenue growth, including how to:
- Create a lead nurture strategy
- Nurture leads across channels
- Segment a lead database
- Choose appropriate content for each lead nurture track and audience
- Get the most value from lead nurturing with testing and optimization
- Measure and explain lead nurturing’s return on investment
Published By: Staples
Published Date: Jan 05, 2018
As many procurement directors know, supplier stratification has both a strategic element and a tactical element. Watch this on demand webinar to learn how to design and implement a supplier segmentation strategy that aligns with the C-suite’s goals as well as the procurement organization’s roadmap.
With Adobe Analytics and Adobe Audience Manager—both part of Adobe Marketing Cloud—media companies can overcome today’s audience intelligence challenges.
Adobe Analytics is an industry-leading solution for applying real time analytics and detailed segmentation across all of your marketing channels. A unified platform and customer ID unlock powerful customer intelligence and help you discover and retain high-value audiences. Make forward-looking decisions with its predictive intelligence capabilities, and find out which of your marketing efforts are paying off with its attribution functionality.
Your customers are asking for it. Your developers are ready for it. Your operations team is demanding it. What’s behind this momentum?
Software-as-a-Service (SaaS) is a fundamental shift away from traditional software licensing to a market-driven subscription model. Keystone engaged 20 ISVs who successfully transitioned to a SaaS model, and found:
New customer segments open thanks to lower adoption and operating costs.
With less complex infrastructure under SaaS, customer TCO drops.
ISV products improve with value-added cloud services and SaaS data capabilities.
Financial predictability improves with recurring revenue model.
New pricing models aligns ISV value to customers’ business needs, driving increased revenue.
Additional, significant operational benefits from switching to a SaaS model.
Fill out the form at right to get the free report, The Shift to SaaS: A high-value opportunity for ISVs.
The collection of product usage data increases the speed of product development by 33%. –
Published By: Mintigo
Published Date: Sep 05, 2018
Artificial intelligence (AI) enables marketers using a predictive marketing platform to address many strategic questions. Whether you’re new to AI for Marketing or more seasoned with the use of AI, this ebook is a great resource for you.
In this ebook, you’ll learn how to:
• Optimize your marketing spending
• Increase conversion rate across the funnel
• Optimize customer engagement
• Cross-sell and upsell throughout your customer base
• Segment leads and grow customer value
• Grow your market and find new prospects
Fill out the form to get your free copy!
Accor is one of the world's largest travel, tourism and corporate services companies. With over 4,000 hotels worldwide, Accor Hotels covers all segments from economy to upscale. Sofitel, Novotel and Motel 6 are just a few of Accor's hotel brands. Accor's online relationship marketing strategy aims to convert prospects into customers and build customer value through increasing the depth of relationships and growing revenues from repeat bookings, cross-sales, up-sales and referrals.
Banks have always benefited from customer information based on account activity and segmentation. With the advent of big data technologies, banks can understand their customers in greater depth and predict their needs by analyzing all available customer information.
Published By: Localytics
Published Date: Jul 18, 2014
Whether your business model is driven by in-app advertising, purchases, or paid subscriptions, driving your revenue is fundamentally dependent on personalization and engagement. The metrics are available, but identifying which are the most important for tracking engagement and are the most actionable can be tricky.
Published By: CrowdTwist
Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them.
Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning.
With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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