SearchChat Podcast: Own, Don’t Rent your Data

The surveys dropping lately show a staggering trend towards the hottest and most concerning topic out there: data. A recent survey by B2B Marketing and The MX Group identified the differences between top performing and poor performing B2B marketers. CMO identifies data ownership as the top most important subject to marketers. Yet another survey by ClickZ and ChatMeter reveals people’s main concerns to be machine learning, personalization and data privacy.

Data ownership is a game changer. We know that data in and of itself is not a competitive advantage–everyone is collecting data. You have to own the data about the customer. Marketing executives understand this is a differentiator for personalized experiences for customers.

It’s what you learn from those customers and how you mobilize it that makes the biggest difference in determining if that data can provide value to you.

Is it time to confront your own data head on? Stop ignoring it, stop questioning it, start acknowledging that you may be struggling and work to utilize that data.

0:00 Intro

2:22 What are the attributes of top performing organizations?

11:28 Why data ownership is a top priority for brands around the world

18:45 Why CMOS are planning to use that data for AI, personalization and predictive analytics

29:20 Outro

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About Tim Peter

SearchChat Podcast: Customer Intent is New Again

Alternatively: Chicken Soup for the Customer’s Soul

It’s time to start thinking about the value of intent based marketing differently. The idea itself isn’t new, but now the data is finally there for people to solve their business problems.

What is your customer experience like if you could walk into a diner feeling under the weather, and are immediately offered chicken soup? Online companies don’t have to lose that personal touch. 

You can improve your buyer’s journey by optimizing results to find specific answers to specific questions. But those are hard to predict. Rather than optimizing the result, how can you optimize the experience — the full journey, whatever it might look like? 

These are questions that need answers. Because the reality is: you compete with all the experiences your customers have everywhere online. When a customer goes to Amazon and has a great search experience, they ask — why doesn’t everyone work this way? Your competition isn’t just other B2B companies, it’s Amazon too. High standards and a poor experience will send visitors looking somewhere else — anywhere else.

The data you gain from having a better site search lets you optimize the rest of the experience. Websites can be intelligent when this data is put to work. Do people who buy chicken soup also usually buy herbal tea? Desserts? Your data knows, and your site can make suggestions.

0:00 Intro

1:20 Intent based marketing is new again

11:45 Your competition is the whole internet

16:48 Search is intent, fundamentally

19:05 How do you utilize data to improve the customer journey?

29:05 Outro

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About Tim Peter

Meet Intent-Based Content Recommendation

The new personalized approach to B2B content recommendation

Understanding customer intent is one of the most powerful marketing tools available to professionals. The right intent data will allow you to effectively connect potential customers to the content that is going to help them achieve their goal. So where do you find intent data? It exists in the systems you use today. Introducing “behavioral personalization,” a strategy to offer intent-based content recommendation. If you know where to look and you have the ability to mobilize that data you can use it to progress journeys, convert more business and win more often.

Intent: Let your customers tell you

We often talk about website search as being the most common personalized experience. Website visitors identify their need, and if the search engine works well it delivers the content that answers their question. It’s the simplest, most direct method of personalizing the customer experience. Personalization isn’t the only thing that search does. It is also the first inklings of the data you need to drive effective content recommendation.

The search box on any website fulfills not only the search term input function, but also gathers meaningful data about customer intent. This is the real source of search’s power. There are lots of topics that a searcher can query. Many of those also give you insight into why they’re asking those questions. Successfully deciphering intent can not only lead to better search results, but more importantly can lead to more conversions.

Simple Intent: The Keywords

Let’s consider two searches.

“Product X Value”

“Product Pricing”

It’s obvious that these searches will yield different results. If you deliver a results page with relevant content it will help the searcher move forward in their journey. But what’s more important than the topic they’re interested in is what the topic tells you about their intent.

That first term probably indicates someone who is in the interest phase of the process. They’ve gotten beyond the top of funnel messages and are going deeper. Not only are they going to need the right content to answer the question, they may be ready for messages that move them into consideration.

Nosing around pricing content is a clear indicator of someone who is considering a purchase. This is where journey progression becomes even more important. Answer the question effectively and they’re doing business with you.

Both these search terms give actional information about the intent of the visitor. They provide signals about what you should be serving them at this stage of the buying process.

Complex Intent: All that other data

Intentions that are apparent in search term data can also be found elsewhere. One of the most effective places to look for how intent manifests itself in your data is in your web analytics system.

The patterns in visitor journey data can illustrate intent very clearly. If someone is spending a lot of time with content that is in the consideration stage of your journey, that’s an obvious signal. But what if the signal is not readily apparent in the data?

This is where advanced data science tools can be brought to the challenge of understanding what the visitor is trying to achieve. For one of our clients, we’re beginning to use unsupervised machine learning techniques to interrogate tens of thousands of visitor journeys each month.

These methods help us construct models that show patterns of visitor behavior that are associated with intent. Once you can identify the snippets of behavior that are more closely associated with goals, you can understand what behavior signals intent for those goals. Knowing this you can recommend content at just the right moment to help drive visitors to those patterns.

The value of intent-based content recommendation

The value of intent-based content recommendation can be directly measured. Reduced exits and bounces that increase top of funnel progression are the first signals you’re onto something. You also likely have some conversions associated with specific tasks, such as downloads and contact forms, that can be directly measured.

Of course, what you really want to measure are the purchase conversions. In a B2B world making those connections can be difficult, especially if channel or field sales are a big part of your sales engine. However, you’ve been dealing with this challenge for long time. Instrument the tasks and activities that lead to contacts and monitor the activity. All things being equal, if you can reduce the top of funnel abandons (i.e. exits and bounces) you’re going to see more come out at the other end of the funnel.

Want to get started? We might be able to help. Connect with an expert right now.

Steve Zakur

About Steve Zakur

Stephen Zakur is CEO of SoloSegment. SoloSegment provides analytics that improve site search conversion and machine learning technologies that improve content effectiveness.