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Adam Smith Speaks at the ABA Bank Marketing Conference

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Check out Adam Smith delivering a great presentation on “Data and Machine Learning Worth your Time and Money”. Adam gave this speech at the American Banking Association’s 2018 Bank Marketing Conference in Baltimore, Maryland on September 24th. In this video he explores such customer segmentation, customer profiling and predictive modeling. He, also, wrote this blog on the same topic.

 

 

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5 Ways Data Can Help Guide Your Digital Marketing

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As digital marketers, we are always striving for higher open and click-through rates and increased page views, but often rely on instinct and guess-and-check methods to reach our goals, instead of making decisions based on results. That’s where data comes in.

Using data to guide your digital marketing strategy can take it from its likely generic approach to one that tailors messaging and places relevant content, based on actual findings, on the right platforms for your intended audience.

For help transitioning your digital marketing approach to one with data-driven strategy, follow our 5 tips below:

  1. Use Custom Audience Targeting – If you have first-party data from current customers, use it to develop customer profiles based on demographic and psycho-graphic factors. These profiles can help you develop tailored content based on factors such as age, gender, geography, and interests. Creating a targeting strategy with first-party data can help you market to current and potential lookalike customers with messaging they will likely interact with. If you don’t have enough first-party data, try using the targeting tools offered by digital platforms.
  2. Determine Your Distribution – Not all digital platforms will work with your digital strategy, because your target audience is not using all of them. Use your customer data to determine what social and digital platforms your audience is most likely to be using and start there. If you don’t have enough information about your current customers to make this determination, look at what platforms your closest competitors are using and see which fit your brand the best.
  1. Let Data Drive Your Content – Measuring the success of your content can be your greatest tool in determining what new content to develop. How will you know what content to create in the future if you don’t know what is resonating with your target audience now? Using data from your digital marketing campaigns can help you determine what content is working with your audience and help you determine what to focus on for future content. In addition, use this information to edit or reformat existing content that may not have performed the way you had hoped. Editing and reusing existing content based on your findings can save you time and development costs.
  2. Time Your Content – If you have been using data to track interactions with your content then you should have an idea of the time of the year, day of the week, and even the time of day your target audience is most likely to be online. Use this data to schedule your content during those peak times for a better chance of meeting your campaign goals.
  1. Make Reporting Easy – A major challenge for data-driven digital marketing is the time is takes to retrieve the data from all of the different distribution platforms that you are using for your campaigns. Website, email and pay-per-click marketing rarely use the same tool, which can complicate your reporting. In order to optimize your digital marketing data, consider combining it all into one dashboard that allows you to see trends that may be happening across multiple platforms.

To learn more about data-driven digital marketing or to schedule a demo to see our reporting dashboards, contact us at info@sigmamarketing.com or comment below.

Creating Smart Data

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If you and your team are spending time trying to wrangle all your various data feeds to find a way to create opportunities for your organization — there is a way to streamline your efforts.  You don’t need to find a home for, and a way to use all your data — just the “smart data”.

The flow of data is picking up speed for all marketers, and astute leaders are turning this data into better, more targeted and relevant sales and marketing efforts. But managing all the data from web platforms, marketing technology, mobile devices and the “Internet of Things” is often a daunting and time-consuming task. Rather than focusing on managing the big data flow, we think marketers should try to discover the relatively few data points that can really drive revenue – find your smart data and put it to work!

Start with Customer Segments

The simplest way to begin data-driven messaging to customers and prospects is by understanding that different segments may purchase your products for different reasons or in different ways. For the B2C client we find that demographics or lifestyle factors drive differences in product usage, and for the B2B client – different industry verticals, or other firmographic data mean different likelihoods to buy products and services.  Are you able to accurately identify these customer segments and analyze the differences in how they purchase or use your products and services?

Find Your Customers’ Trigger Point

Often times your customers will take some specific actions before they buy – or before they say good-bye (for example, checking their balance before paying off their car loan).  These actions should be seen as prompts that can be used to trigger communications to make the sale happen faster, or keep a customer longer. Using predictive models can score your customers and prospects for their likely purchase propensity – but the model itself can identify the behavior triggers that can be turned into automated messaging programs.

Build an Engagement Score

Measure how engaged your customers are with your brand by creating a score that will combine interactions across channels (email, satisfaction, service calls or visits to the store). Keeping it simple with a High-Medium-Low engagement scoring process, you can easily tell if some customers just need more love!

Add “Data Transformations” to Your Data Clean Up

When you combine data from multiple sources you might receive basically the same fields from the different data sources – although they may have different names and slightly different values. For example, “current age” is not as easy to update as “year of birth,” and may actually be the most useful data element for use in marketing campaigns. Build common rules, definitions and data naming conventions so the data can be easily understood, and used efficiently in marketing, sales and operations.  Data Transformations are key to making your data smart and actionable.

Trying to gain control of all the data generated by your marketing today can actually slow your progress to a more innovative data-driven approach.  Quality over quantity is key! Find your top ten “Smart Data” elements, use them to test more relevant multi-channel efforts, and build in more variables as you grow.

5 Ways to Rev up your Marketing Performance with Data-Driven Fuel

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Customer Insights give great value to marketers when they can be activated through marketing and sales efforts that move the sales needle in the right direction. “Smart customer data” has emerged as a powerful strategic asset for the most successful marketing professionals – and the process of using this data to help define goals, audiences, campaigns, and tactics as well as measuring and analyzing performance makes marketers much more agile and responsive to rapidly changing consumer expectations and behaviors. If you recognize the need to accelerate your marketing with a more data-driven, analytical approach we recommend getting started with some of these ideas:

1. Assess When and How Your Customers Want Communication

  • Help customers let you know their communications preferences by making it easy on your privacy pages and in every reply form
  • Once they tell you their preferences – make sure you respond and respect their choices in your campaigns
  • Use message testing to persuade your customers to interact with you over multiple channels to build your understanding of what makes them tick
  • Keep track of what worked – optimize results and the satisfaction of your customers will grow

2. Use Insights to Drive Your Content Strategy

  • Different segments of your audiences will be interested in different types of content. Use insights about your segments in content development
  • Determine the types of marketing content and delivery format your key segments crave and respond to the most
  • When developing different content, consider where customers are in the sales cycle – are they gathering information and researching the category? Give them an overview of where you stand vs. your competition

3. Master Data-Driven Cross-Selling

  • Build a cross sell matrix and keep track of the most likely next-to-buy products for your customers
  • Analyze the typical time between purchases, and make sure you trigger a cross sell offer around the time your customers will be going back into the market.

4. Use customer data for digital micro-targeting

  • Use digital ad buying platforms to deliver ads directly to your individual customers – with segment specific messages
  • Push your current customer data into the platforms. They can build predictive models on the fly to find lookalikes
  • Drop digital ads to the same group of people just before and just after direct mail contact to see if you can boost your direct mail results
  • Work with your media buying team to pilot some of these innovative 1:1 digital techniques and find out where you get the biggest bang

5. Test into Offer-Optimization

  • Create offers with just enough incentive to get your customers and prospects to act
  • In addition to monetary, create offers that provide information or interesting content. Too many monetary offers can backfire and train your customers to wait for the best deal
  • Use a test and learn approach to get the most response from your product and service offering

Whether your aim is to fine-tune marketing targeting by selecting audiences that will deliver the greatest return, to deliver more relevant messaging, or to find the customers that are ready to leave (or those that are ready to buy) – the answers are often found in your existing customer data.  Analyzing data from inside your organization will build customer insights that speed up your marketing performance.