Conversion Optimization with Social Marketing / Media Analytics
Conversion Optimization with Social Marketing / Media Analytics
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Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.
Brooks Brothers is investing in tools & testing to improve the online experience – and ↑sales. In a test involving one product category page: men’s shirts. The retailer using Bazaarvoice Ratings & Reviews software, used customer reviews to sort items on the product page. Items with five ♥♥♥♥♥- the highest rating – appeared on the top of the page. The result: a 9% lift in conversions [Adobe Digital Marketing Symposium]
Are you ready to anticipate and influence your audience in a whole new way? Value migration from traditional marketing to 24×7 digital marketing is happening in leading firms. Real-time marketing and conversion is now becoming possible.
In the past decade, the spend on digital marketing grew from nothing (2000s) to significant ratio (2010s). As a result, CMO and marketers want to be able to unify their efforts to better organize their teams, optimize their social/mobile/iPad/web programs and deliver real business results. This implies a shift in marketing mix from a focus on classic channels – brick, click (web); to a new omni-channel mix -> brick, web, mobile and social.
CMOs are increasingly gaining control over digital strategy and the digital spend. Their strategy: create next generation of Listen, Analyze & Understand and Engage strategies using new tools bypassing traditional IT.
- Listen: where data is captured from all online and social media systems to help describe a customer’s experience
- Analyze & Understand: the ability to integrate and analyze all customer data using powerful but insanely simple technologies and accelerators to create valuable insights
- Engage: deliver new information and insights to new and existing customer management processes and enable marketers to act quickly, decisively, and appropriately
- Learn: assimilate the levers that produced certain outcomes into a library of reusable patterns
The popularity of social media via followers, friends, and fans has created billions of social conversations. Social media platforms allow influencers & consumers to discuss a wide range of topics to a large audience, including their personal experiences about customer service and purchasing decisions.
As online technology becomes an integral part of customer acquisition and retention, it fuels demand for tools that identify, monitor, engage, analyze and interact with customers via the mobile/social web. As more consumers turn to social media, their purchasing decisions are influenced by what they read and hear. Marketing, Sales and Customer Service groups need the ability to listen, understand and respond intelligently to these social conversations allowing them to create better marketing campaigns, improve customer service, generate targeted leads and opportunities and enhance products and services with real-time feedback.
The tools to enable, support and accelerate this value shift are increasingly the focal point in the digital marketing community. A host of new firms have emerged to fill this new social listening, advertising and marketing category - Vitrue, Radian6, NetBase, ListenLogic, Buddy Media, and numerous others.
Digital marketing is very confusing—as the graphic from Luma Partners shows. Business Insider has published a piece that was every educational: A Simple Guide To Social Networks: What Goes Viral Where, And Who Uses What . It reveals what kinds of users are on which social networks, why they are on those sites, and what types of content goes “viral” on those sites.
Social Listening and Marketing
What does an organization hope to gain by listening to what is said about its brand? Leading indicators of trends or opinions. Organizations, especially those with a strong brand identity, are “listening” to their customers online to gauge sentiment.
There are different listening models:
- Human intensive – becoming members of relevant communities and searching out content related to them.
- Automated – sophisticated software tools that automate “listening” activities. These tools advance listening from a human function to an automated activity that can scale to listen to vast quantities of available social media data.
- Sophisticated: In addition to listening to chatter on sites and communities, companies can now use tools that “crawl” the Internet looking for more extended feedback and insights. This can be termed “mashup” listening where multiple sources are mashed together to create a picture.
The goal of all three methods is to answer a few simple CRM related questions:
- What does the customer feel about the brand?
- Has the customer experienced service problems?
- Does this customer influence other consumers?
Social intelligence answers all these questions by making sense of vast quantities of structured and unstructured data to define intent, loyalty, influence, and sentiment.
Social Listening Example: Listen, Analyze and Engage
P&G Tide and Daytone 500: Translating Buzz into Brand Value
At Daytona 500, the first race of the season for the National Association for Stock Car Auto Racing (NASCAR), the unthinkable happened: The #42 car lost control under caution and slammed into the back of a jet dryer. Nearly 200 gallons of jet fuel from the dryer poured onto the surface of Daytona International Speedway, igniting an intense fire and leaving race fans wondering whether the race could be resumed. The heat from the burning fuel severely damaged the asphalt surface. Safety workers moved quickly. They put out the flames then turned their attention to cleaning the track and determining whether the race could be resumed. Track personnel carted out large boxes of Tide detergent on the back of a truck bed. Safety workers began opening the boxes and dumping the detergent all over the track, using brooms to scrub it into the surface.
NASCAR fans took to the Twitter to express their thanks:
- @Tide, congrats on getting the daytona track cleaned up. ThankQ.
- TIDE to the rescue! What can it NOT do?! @proctergamble #NASCAR
- It’s true. You can use Tide to clean anything. Including jet fuel on a racetrack. cc: @proctergamble
- @ProcterGamble and #Tide hopefully saving the night @ #Daytona500
- @tide saved the #Nascar #500…you’re alright in my book Tide
P&G quickly leveraged the incident to increase the buzz about Tide. The social media team via their Digital Operations Center responded quickly.
Google Marketing group
Social Intelligence – New forms of CRM BI
Social Intelligence platforms are pretty similar. They use semantic analytics engine to process millions of comments daily, transforming social conversations into actionable “engagement” intelligence. The solutions eliminate irrelevant and duplicate data, capture a clean signal, determine consumers’ intentions and interests, and automatically identifies emerging trends and hot topics to help drive better decisions with meaningful consumer data.
Information processing techniques that leverage search assume that data discovered is factual. However a large amount of web information includes opinion – positive or negative. However, current information processing tools are not designed to interpret opinion.
To overcome this gap, sentiment analysis (or social intelligence) is used to assess opinion in user-generated content. The goal of sentiment analysis (or social intelligence) is to identify the opinion or emotional state of a writer or speaker. Doing so is a tricky undertaking because:
- Feelings and emotions are subjective.
- Sentiment is rarely an “all or nothing” expression, but rather comprises a range of feelings and tones. So placing a qualitative label such as “strongly agree” on a survey form offers no true quantitative measure of what the respondent actually feels.
- Gauging sentiment is strongly associated with context. Work being done on review mining builds subjectivity into the analysis; it focuses solely on positive vs. negative responses.
Many forward-thinking companies are taking their online listening efforts to the next level. They have
found that while listening to consumers yields good information, integrating that information with other
customer data sources creates deep insights that drive better marketing and business decisions company-wide. The insights from listening are turning into actions… some firms are providing more online real estate for the products with the highest customer satisfaction as early experiments are showing an incremental impact on sales.
That’s where social intelligence and big data being to intersect. All reasons why Oracle bought Vitrue and Collective Intellect and Salesforce.com bought Radian6 and Buddy Media. A new arms race is about to begin.
Point solutions such as individual social media listening applications are only one component of a social intelligence initiative. To harness the true potential, companies must deploy a broad information management and analytics program, tightly linked with the overall business strategy.
Engaging Gen Y with iPhone 5 – game changer in the making
I am of the opinion that social intelligence is going to change further with mobile devices as the channel to engage with customers. We are going to get a glimpse of how machine data, real-time location and human generated data intersect when iPhone 5 comes out. [Everyone, especially Gen Y I talked to is eager to buy it. Never seen pent-up demand like this for any product.]
The end to end mobile marketing engagement model from the marketer to the consumer mobile devices is shown below:
My prediction is that iPhone 5 will unleash another wave of app innovation as faster 4G speeds enable new interesting patterns of social interaction. What is interesting is that people spend more time consuming media on iPhone than they do consuming print media, and yet print advertising spending is 25X mobile. What’s going on? Four things.
- for certain segment there still a cachet associated with having a full page ad in a magazine or newspaper – old habits die hard.
- it takes time for advertising dollars to catch up to new forms of media consumption, so we should expect mobile advertising to gain share over time.
- current model of Internet advertising has been the display ad, and it’s hard to display a static ad on a 4 inch screen size without annoying the user.
- marketers are under-estimating the influence of social peer-to-peer models enabled by mobile devices
We are in the early days of the mega shift to digital – social and mobile. A lot of noise exists out there but the long term trend is unstoppable.
Digital channels are impacting billions of marketing spend. The case of GM withdrawing from Facebook illustrates the complexity of getting social marketing right.
CMOs everywhere want to listen, engage, gain insight, publish, advertise and measure social marketing programs. Old habits die hard but change is underway.
As a result, the marketing industry is undergoing the biggest transformation it’s seen in 60 years, and it’s all being driven by the unprecedented growth of social networks.
Social usually starts as a marketing experiment or product groups trying to influence customers, but very quickly it spins out of control as it scales. Agile IT leaders need to provide the leadership to build out capabilities and standardization of tools and data integration pathways.
Leading brands are looking to completely transform their traditional marketing strategies for the social era. I anticipate that as the pendulum shifts from cost takeout to growth and customer acquisition, marketing technology spend will grow rapidly within the next five years and that social advertising will be the largest growth area of online advertising by 2015.
Published at DZone with permission of Ravi Kalakota , DZone MVB. See the original article here.
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