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Manage, track, and grow your brand with always-on, actionable insights.

Marketing Mix Modelling

Monitor and optimise the long and short-term effects of your marketing efforts.

Campaign Evaluation

Measure and track your campaign’s performance before, after, and as it happens.

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The value of a magical experience!

January 12, 2018

Sam Richardson


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Both of my sons’ hands where all sweaty as they looked up at the huge snow-clad mountain. You could see the desire and fear battling in their eyes. Was it fun, was it dark, what would happen, was it to scary? You could see the result of the battle shifting as they heard the laughs and screams coming from all the people riding it. And here I was, the impatient dad, “Do you want to go on the ride or not? The line is 40 minutes long and I don’t want to stand in line for 40 minutes for you to back out in the last minute”.

I know, I’m a very patient and understanding father, I know. My ten year old looked at me, then at the ride, then back at me again… ”I don’t know… I want to, but what if it is too scary?” My six year old just looked at his brother with big eyes and squeezed my hand.

As a man of action, I finally went up to one of the staff (sorry cast member), and asked the young lady; “Is this ride scary? The reason I’m asking is that my kids are really hesitant and we don’t want to wait in line and then have a bad experience.” She looked at my kids, asked them, not me (also a pretty unique experience) what they wanted. Again, “don’t know, scary, want to but…”, from my 10-year old. Then came the magic, the young lady said to my sons “you know what, if you want, I can get you to the front of the line right now, and then you can decide right away… If you want to go on the ride, jump in, otherwise you can continue enjoying the rest of the park”. Speechless, my sons nodded their heads, and I gaped. What, just like that? She took my sons hands and led them around the whole line and spoke to her colleagues. The last I heard as we approached the ride was the young lady saying; “It’s a magic moment”, and that it truly was!

Two weeks ago, on a Christmas inspired round table discussion around customer experience with some of the industry’s leading CX experts, an interesting discussion emerged. What do companies that create a truly unique customer experience do, to get employees that are sincere in their will to create a truly exceptional customer experience

How do they do it?

I would say, thinking back on my own Disney experience, that each employee, given the right tools, can provide customers with magical experiences every day… But why don’t they?

I would argue that one of the major reasons are lack of empowerment. A common mistake is trying to micro-manage customer interactions, restricting the employee in servicing their customers. This is a growing trend that I have observed over the last 10 years. Today, all too often I hear the phrase “I have to check with my manager”, even for small things, like returning a 1,50 Apple at the local supermarket.

And it seems that Disney agrees with me.

I have been working with CX improvements for a long time and empowerment is one of a couple key areas that needs to be addressed if you want to create a magical customer experience. Contact me if you want to discuss how to use analytics to fuel empowerment, culture or something else that stand between you and magical customer experiences!

And yes, my kids went on the ride, and will forever remember the magic experience!

Erik Enecker
Chief Product Officer at Nepa USA & COO Global Product at Nepa

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What you learn when world class CX leaders come together

January 11, 2018

Sam Richardson


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As the holiday spirit swept into New York in early December, Nepa hosted a round table discussion with CX leaders from the retail, hospitality and entertainment industries. Companies that are on the top of their games. Literally the Louisville City FC had just been crowned USL Champions, while a national retailer was riding high from a strong Black Friday performance, and an international hotel chain that is posting RevPar growth amidst difficult conditions.

I think I speak for all when I say one of the biggest takeaways was simply the value of meeting with leaders for other industries to share experiences. This open venue allowed for open dialogue about overcoming challenges to make an organization be customer led and brainstorm about the future.  My professional new year’s resolution is to organize similar discussions. Comment below if you’re interested!

Without further ado, here are 4 key themes from the discussion.

1. Measurement is necessary; Story-telling leads to Success

There was a lot of talk about Executive Support. Funding alone is not sufficient – executives must evangelize CX programs through (and beyond) the organization to demonstrate their importance. Chick-fil-a – a company that has not been shy about its commitment to service – was mentioned frequently as a company that delivers great customer experience.

Not all measurements are created equal though, and measurement alone is not sufficient. The ability to translate CX measurement into financial predictions gives them more weight with analytical leaders. And, the best measurements need to be woven into stories that inspire all staff to be customer-obsessed. This is important for an industry that has too long relied on dashboards to inspire change.

2. Customers’ Experience your brand at the Front Line

Whether it’s an employee that lacks the empathy for a customer’s situation or a Disney employee that turns a problem into a Magical Experience – customers’ experience your brand at the front lines.

A common problem shared by CX leaders across industries is motivating and empowering front-line staff to deliver great experiences. This is especially important amidst increased reliance on partners to carry out parts of the experience in the gig economy.

Serving up CX dashboards and analytics are not sufficient – as data analytics rules the day in many corporate HQs, it does not on the front lines. While we didn’t solve this problem in an afternoon, there were some great tips shared:

  • Give authority to make the right decision for customers.
  • Provide the right decision support (e.g. customer data and focus on what is most important to get right).
  • Lead with passion and purpose – everyone need to see leaders putting customers first.
  • Communicate in the language of those in the front lines of your business.

3. Focus on the Customer over the Competition

Jeff Bezos (not in attendance) has said “If you’re competitor-focused, you have to wait until there is a competitor doing something. Being customer-focused allows you to be more pioneering.” This brilliant round table made similar points about the importance of being led by customers, not by your competitors.

A hotelier shared about how innovation to the room key by a competitor sent senior management into a frenzy to catch-up. But, their own customer data showed this innovation was not important to its customers. Chasing the competitor could have diverted valuable resources from delivering on what’s important to customers.

The point is simple here – have conversations with your customers and act on their needs and wants.

4. The attention economy – from Customer Experience to Customer Engagement

Anne Roggeveen, Professor of Retail and Marketing at Babson college, kicked off a discussion around the “owners” of different touchpoints – that is brand, partners, the customer, and externally (e.g. social/independent). In an increasingly connected and always-on world, the balance of touchpoints has shifted away from brand-owned and towards touchpoints owned by customers, partners, and other external sources.

With less control, Customer Experience needs to broaden to Customer Engagement. It is more important now to engage customers even at the touchpoints that you don’t own (e.g. review sites) and interact with customers beyond your traditional lines of business (e.g. branded credit card that builds loyalty through all a customer’s purchases). Journey Mapping and Path to Purchase solutions are making new strides in understanding all touchpoints along the journey, both on and off line.

You can also engage to help mitigate a bad experience at a partner touchpoint along the path to your brand (e.g. solving for a bad parking experience that is not owned by the sports club).

That’s it for now – there was some great content from this discussion that was left on the cutting room floor – please feel free to comment or email me (sean.dunn@nepa.com) to discuss more about CX trends heading into 2018. And, let me know if you can help me out with my resolution to participate/host more of these discussions this year.

Sean Dunn
Vice President, Client Solutions at Nepa USA

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How to steal foot traffic from competitors

December 12, 2017

Sam Richardson


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Know what drives customers to walk by your competitor’s store and into yours, to drive more visits and more sales

What is it that Draws shoppers to stores in less convenient locations? I mean, if convenience was the only deciding factor, that would never happen. How can you as a retailer understand the outside draw and take actions that influence shoppers into taking a “Detour” to your store?

Groceries, it is a recurring chore that I, as a family father of three sons, need to complete all too often (with 6 gallons of milk and similar amount of yogurt each week, they tend to reoccur often). I usually go to Publix because it’s convenient and has a great assortment. But lately I find myself wanting to go the long way, looking for another store. I frequent Costco more and more, visit Aldi and Walmart even though they are much further away. I take a detour, go the extra mile to shop at a different location. Why do I take a Detour?

The understanding of why your shoppers take detours is one of the golden key‘s to increase visitation, and sales!

Are your shoppers really your most valuable asset?

The retailer is still essentially a merchant who makes money from the supplier through its services: store, shelves, shoppers and displays. And advertising revenue from suppliers is still the No 1 profit driver for the retailer. While many retailers talk about shoppers being their most valuable asset, many treat them as a necessary evil to be made reasonably satisfied when they frequent the store.

In the words of Herb Sorenson, “Why are retailers not paying more attention to the shopper? They are not paid to! One trillion dollars are paid to supermarkets (from suppliers) to manage their stores in a certain way.”

This is a business model that has been cultivated, refined and profitable for over 100 years, so it’s easy to see that it’s hard for the retailer to change.

Focus entirely on your No 1 asset

But the truth is that it is the shopper that empties the shelves, no matter if the shelves are physical or digital. And here is the big surprise, to the suppliers you are just a channel – as good as any other channel. This is something retailers are acutely aware of in the last 10 years with the rise of new channels such as Amazon.

So, what to do? Every retailer needs to put the shopper in the center of everything they do, if they are to survive. That means changing the way the retailer sees its shoppers, their No 1 current and future asset.

If you want to increase sales, there are essentially 3 ways to do it:

  1. Make existing customers buy more – increase basket size
  2. Make existing customers frequent your store more often – increase loyalty
  3. Increase number of customer – attract new shoppers

Looking at this list, all 3 are in the hands of the shopper. We are avid promotors of customer experience and loyalty, it is one of the best ways to be a profitable and successful business. But even if you are a star at customer experience and loyalty, you also need to attract new shoppers. This blog post focus on the last lever – attracting new shoppers.

Attract more Shoppers

For a business to survive, they must continually build and increase traffic to the point of sale at least enough to match natural attrition.

Simple in theory, but with the rapidly shrinking brick and mortar market, easier said than done. This is about leveraging all that you already have:

  • Sales data
  • Behavioral data
  • Shopper insights

and combining them in a meaningful way. One such application area is shopper choice, i.e. why the shopper chose one store over another, and how that influence your business.

Location, location, location, right? It is immensely important. There is no arguing that the location is one of the deciding factors for a Brick and Mortar success or failure, but is that the whole story?

Yes, it is important to find the optimal store locations for a target group, housing, travel patterns, traffic, parking, competitors etc. But when the store is established, location analytics are irrelevant, right? I mean, why does it matter in the short term?

Location = only 1 of 4 drivers

If location is everything, how can a new IKEA store suddenly redefine what is prime commercial real estate in a market? The answer is quite simple. Shoppers like the IKEA experience and travel quite extensively to get to an IKEA store, and this is true for many different brands and stores. How is it that some customers are willing to go the extra mile to a store that is less convenient, and how can your stores become that “detour magnet”.

Models have long been used to model geography, sociodemographic data, travel patterns and competition using complex algorithms to understand how to place and position stores. But are they giving you the full picture?

For the shopper, only 4 major drivers exist for choosing which store to visit:

  1. Value/Price
  2. Convenience
  3. Experience
  4. Assortment

Examining this list, it is clear that location is not everything, just one of four decision criteria. In fact, convenience in form of a great location, can sometimes cost substantially more than the actual gains. It is therefore imperative for the retailer to understand how and why these choices are made.

Introducing “Detour” – learn from the shopper and grow your business

What is convenient? Well, it’s all in the mind of the shopper. What might be convenient for one shopper might not be for another.

Nepa has developed a Detour concept that leverages existing data flows in the shopper centric concept of subjective convenience, i.e. let the shopper define what is convenient and learn from that.

We use sophisticated data models based on purchase behavior, geolocation data, competitor sets and add the layer of shopper subjectivity to understand how the shoppers’ definition of convenience impacts each unique store.

Nepa Detour determines what drives the shopper to take the long way and how that can be nurtured, developed and expanded to grow your business.

4 cornerstones to drive sales growth

Detour is built on Nepa’s Consumer Science platform™. The platform brings to bear the true potential of data science to unleash consumer research’s full power. The detour application merges multiple data sources with shopper insights to deliver bottom-line results.

The Detour solution is a business development tool tailored to drive growth to your point of sales. The Detour application will provide you with powerful analytics and will help you understand the competitive landscape both in perceptions and sales. This understanding will provide you with insights into which specific departments you should focus on, either to improve or to communicate, to leverage your competitive strengths.

The four cornerstones of the Nepa Detour solution:

  1. Think local. Each store has a unique set of local factors influencing shopper store choice.
  2. Use multidimensional data. Use behavioral, geographical and sales data to understand behavioral patterns and how they influence each of your stores.
  3. Inside the shoppers’ mind. No amount of behavioral data can alone bring understanding of the choice process of the shopper, you need him or her for that, and you know what – it is different for different shoppers!
  4. Be inspired by data. The local store manager is best positioned to use the knowledge from the Detour application optimally. So, we developed Detour deliverables with him or her in mind – to inspire them in ways that promote action.

Nepa Detour analytics – download our product sheet

Want to know more? Download our product sheet or contact me or your Nepa account manager to discuss how to get more shoppers to take a “Detour” to your stores.

By the way, the reason for my own personal “detouring” that I mentioned in the beginning of this post is:

  1. Even though Publix has a great assortment, their prices are just too high compared to the value that I feel they provide. Especially in the Dairy category.
  2. If the customer experience would have been great at Publix, my Detours would likely be fewer.
  3. Publix doesn’t provide me with incentives to be a loyal customer. I know they have some sort of rewards program, but none has ever been offered or explained to me. That means Publix doesn’t have a clue that I am removing more and more of my business from their stores. This might be the greatest threat to their existence, not knowing what might hit them!

Erik Enecker
Chief Product Officer at Nepa USA & COO Global Product at Nepa

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Local is the New Global – Using Customer Feedback to grow

November 17, 2017

Customer feedback - retail logistics

Sam Richardson


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Customer feedback is the data resource for monumental growth. Enjoy the interview in theaboutpages.com  page 14-16 of Ken Peterson, Managing Director, Nepa USA by Régine Smith, Director of Marketing, SurveyGizmo.

The Big Data and Analytics sub-sector is experiencing rapid growth, growing at a blistering pace. The aggregate amount of data available to retailers doubles every two years. Acquiring the insights that retailers need to find, target and retain their ideal customers used to be a problem. Now, marketers are tasked with sifting through the enormous amount of data. Big Data is just that, and the sheer amount makes it difficult not only to discern what’s valuable, but to discover what information might be missing or lost in the shuffle. Nepa is a relative newcomer to the Denver market. The company is a the pioneer of Consumer Science and help create companies with a data-driven and consumer oriented decision making – at all levels in a company. Today, we speak to Ken Peterson Managing Director US at Nepa, and get his input on the Big Data and the impact local retailers will soon see.

RS – Can you tell our readers a little about your organization?

KP – Nepa is one of the world’s leading provider of data-driven consumer insights, which has previously worked with retailers like H&M, Carlsberg, and Spotify. Today, Nepa has emerged as one of Europe’s fastest growing companies and is pioneering new approaches to combining customer feedback, panel data and online consumer behavior with point of sale information. We’re the leader in turning customer-focused “big data” into actionable insights that can have an immediate impact on a company’s bottom line.

RS – Big data and analytics have climbed to the top of the corporate agenda. What are the most exciting developments you have seen in the data insights industry?

KP –  You can’t invest thousands upon thousands and millions in real estate anymore. It’s now all about transportation and logistics, which is gonna be tricky because I think it’s transportation companies that are going to make a large amount of money off of the idea that local is the new global. If you want a pair of faded jeans and you can only find it one place that fit you just perfectly. Now you can get it anywhere in the world, and you can even get it shipped overnight while you’re traveling to a foreign location. It’s not a surprise to see a company like Amazon investing in warehouse in Denver because that’s now a distribution channel. It’s not about having physical locations; it’s about having a distribution system. So, a lot of what’s going to happen in retail is how you get it to people. It’s very different than what we did five years ago.

RS – Are these the types of changes you would like to see?

KP – It’s just gonna continue to evolve that way. So that the last thing people will have to think about on a day to day basis is: “Do I need to stop at this store?” If you think of where Starbucks started, and how long it took for them to achieve monumental growth. Now, a local company can grow quickly & globally because of all the resources that are available, and the biggest resource of it all is data. We’re going to start seeing a lot of niche businesses, needs-based industries, just blow up and expand because they now have the resources and the data to grow on a global level.

RS – What role do you see your organization playing in the future?

KP – I feel very fortunate in finding Nepa at the time that I found them, because I was working in the customer service industry for years; measuring customer satisfaction. What’s great about Nepa, is that we bring the power of a data science team of 300 people, to an individual organization and we help them ‘think’ globally.

RS – What’s the value of obtaining social data that is publicly available versus data that could be privately obtained?

KP – There’s always first party, second party and third-party data. We know what’s selling well and know what’s not selling well, and define that as a first-party data. Second-party data is some of the things that are obtained through a direct relationship with the customer. Then there’s the third-party data, which is collected through an external source. The biggest sources right now are customer experience feedback, behavior surveys, and social media, which I call sort of the unfiltered, true customer feedback. For the first twenty years, we asked: “Would you recommend?” Now with social media, our small voice can be heard by thousands of people. It’s amazing the response that we get for that experience when you post the complaints around Twitter. Social Media becomes a big part of the customer experience because people tell you how they felt about one interaction versus how they feel about the relationship as a whole. Social media is going to play a huge role. I’ve seen it already.

KP – Earlier this year Nepa was selected by Facebook as a partner firm in Facebook’s Marketing Mix Modeling Program. Nepa is one of very few that have access to more granular data from the world’s biggest social media network. This data helps us better identify and understand big differences in individual behaviors, geographical regions and different types of advertising. Together with first and second party data, we bring even more precise recommendations to our clients on how to manage their retail businesses more efficiently.

RS – With the surge of “fake news”, how do you see this impacting your ability to capture feedback?

KP – Customer feedback surveys are important. They’ll never disappear. I’ve been hearing for 18 years that customer surveys are going to disappear, but they won’t. Social media does have an impact. People respond to it. Customer experience is not just one transaction; it’s an accumulation. Its starts before a customer even leaves the house. Customer experience is the entire path. Part of that is the feedback mechanism which may be social media; in which customers can choose to praise a retailer or criticize them unfairly. You have to respond to it because people see it.

RS – I’m curious to see how far the idea of customizable user experiences will go. It’s a fascinating time to be part of this evolution.

KP – We are becoming so connected. I read something two days ago about a large retailer who won’t just deliver your groceries to your house, but will bring them in and put them away on the shelves for you.

RS – How has the move to Denver impacted your organization?

KP – The biggest impact is that it allows me to be central. Having a small group of people who are geographically dispersed, I can get to anywhere pretty quickly. But one of the greatest benefits is that there are so many burgeoning retail businesses here. Whether it’s a durable goods retailer, a consumer goods retailer or even a restaurant, there are so many businesses that are either starting in Colorado or growing in Colorado; we’re able to connect with them closely, quickly and easily. We’re at the heart of where retail is going to grow. It’s no longer going to grow in LA or NY. It’ll be here in Colorado.

About Ken Peterson

With a background in Mathematics and Operations Research, I have a passion for finding ways that companies can be more profitable through truly actionable insights in data. I have more than two decades of experience in the marketing research, retail and transportation industries with a recent focus on Big Data Business Insights, SaaS deployments and Consultation. This ties in with my long history of P&L responsibility and detailed understanding of improving business operations.

At Nepa, I am privileged to help our clients in retail, hospitality, technology, travel, sports and media better understand how to make use of the vast quantities of data that is now available.

PS. Why not download our eBook to learn how leading CX programs are integrating sales data, location data and other operational metrics to make CX insights more actionable at every level of the organization! DS

 

Ken Peterson, Managing Director, Nepa USA

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Data Everywhere – Insights Not Found

November 01, 2017

Sam Richardson


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Why should we be looking at insights to inform our decisions? The simple answer, money.

It’s that time of year again and I’m receiving campaign mailers for local elections for two towns. I don’t live in either one. While I’m honored that they think my “vote is important”, I can’t vote in either election. An easy check against public records would save each of these campaigns more than $1,000 – where budgets are often not much larger than that.

Instead, over the last couple weeks, I’ve accumulated over 50 campaign mailers – even at a low end cost of $2 each, that could reach – in my neighborhood of 400 homes (none of which can vote in either election, but are receiving these mailers) – a cost of $40,000, none of which will have any positive influence in the outcome. Matching against a list that costs about $50 would have saved these campaigns precious funds that could have been better used for their targeted audience.

Are you working to improve the right KPI?

Think about the amount of time, effort and money spent at your company looking to improve customer experience. Often these budgets can reach into seven digits, not including the man power spent on the efforts – but:

  • Are you reaching the wrong people?
  • Are you working to improve the wrong KPI?
  • Do you spend all your time fixing individual complaints coming from your data, but not driving strategy from insights?

Shine a fact-light on data

Our businesses succeed when we have revenue and make a profit. While we can look at other measures that help drive our business towards that success, our efforts in improving them should not take away from the goals of the business. We gather transaction data, basket data, customer information and loyalty data – but all too often they aren’t brought together and understood – and therefore you can´t reveal decision-worthy insights.

Do you have examples where companies gather data, but they are not using insights – and not utilizing the opportunities of generating financial outcomes?

Comment and let me know about your stories. You can also download our CX IQ eBook to learn more about using data to gain insights.

Ken Peterson
Managing Director of Nepa USA

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Measure what really matters – Facebook perspective

October 23, 2017

Sam Richardson


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The nature of the consumer journeys are getting more complex to understand and new digital advertising products will completely change the role of what traditionally have been seen as the possibilities of digital advertising. This puts high pressure on having reliable measurement solutions focusing on what really matters.

As a global Facebook partner, Nepa recently had the good fortune to attend the Facebook Global Partner Summit in San Francisco. The summit included teams from Facebook, Instagram and Messenger sharing product roadmaps, opportunities for growth and talk about key trends and insights. It was all presented in two days of sessions and discussions on topics related to ad tech and measurement.

As I was taking part of a variety of perspectives within the areas of these topics, it became even more obvious to me that the landscape of marketing measurement is changing rapidly.

In line with this point – my view of the key themes seen in most measurement related sessions were:

  1. The ideal measurement solution comes back to business outcomes
    While there are several proxies of impact out there today, the best evaluation of a campaign performance still always comes back to actual business impact – i.e. sales. Reach, no of viewers, in screen etc. might be good approximations of how to optimize your marketing in detail, but it is always important to tie back to the one and only thing that matters.
  2. Don´t miss your opportunities
    Approaches known for focusing on the holistic perspective, such as Marketing Mix Modeling, will be a key ingredient to make sure to not miss any opportunities as media effectiveness changes rapidly and new ad products come to the market at fast pace.
  3. People based measurement is more important than ever
    The consumer journey becomes more complex, including both online and offline touchpoints mixed together in a nonlinear buying process. Separate silos of offline data and online data will not help to identify the full pattern only seen in single source data. To understand the consumers and the roles of different touchpoints you need tools such as Path to Purchase to cover the full purchase process, from the first to the last interaction.

Marketing Optimization applications should put the client’s money where it matters, not least within digital, where today’s marketing spend is accelerating.

3 steps to marketing effectiveness
Together with our clients, we always develop detailed plans based on these 3 business needs:

  1. How to define customer journeys.
  2. How to make solid decisions on content and media spending.
  3. How to track performance, short- and long-term.

For further information about what we as a global Facebook partner could do for your marketing effectiveness, please contact me.

Andreas Nordfors
Product Director at Nepa

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Webinar – Does your data have purpose?

September 25, 2017

Sam Richardson


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We see many companies out there – both market research and customer experience – talk about democratizing data. Their mission is not invalid. I think we all agree that we need to have a data purpose and get the right data to the right person at the right time. Is that enough, however? Do consumer insights affect the bottom line? Absolutely!

Join our webinar about data purpose October 10th

Nepa shines a fact-light on customer experiences, breaking down feedback and sales data silos – to pinpoint the experiences that lead to sales.

Excerpt from the seminar:

  • Actions speak louder than words – Why do we have data, if not for doing something with it?
  • Unleashing data for the good of the business – How to affect the bottom line.
  • Democratization of data – When we have consumer insights intersecting with data science, there is a need to take what is distributed to the next level – in a user friendly format that drives action.
  • A specific example from a big grocery retailer.

Sign up for our free webinar by clicking this link and entering your name and email address. You can also download our CX IQ eBook here.

 

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The impact of advertising must always be questioned

August 10, 2017

Sam Richardson


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Online advertising is no exception. As P&G Co wants every dollar to add value for their consumers or their stakeholders, they just cut more than $100 million in digital marketing spend in a quarter. They report seeing little impact on their business.

P&G’s move to cut its digital ad spend is a bold one, but it clearly shows that the company have focused on driving sales. This is the top objective for its advertising strategy.

Use the right data, in the right way

Advertisers of today are working in an incredibly data-rich environment. They have a vast range of measurements at their hands. Click-through rates, exposure, reach, engagement are only some of them. It can be easy to lose focus from the ultimate goal of the advertising, to drive sales.

However, this unprecedented access to data makes it possible to, more accurately than ever, measure return on marketing investment (ROMI). But this requires more than the sheer access to data. It demands a thorough analysis framework, taking into account media investments in all channels – digital as well as traditional above the line –  and sales data. Ideally, this analysis also incorporates slower-shifting brand effects, to avoid the pitfall of focussing only on short term and call to action marketing.

Granularity of online data allows for identifying return on investment for each specific online channel.

This is vital, since effectiveness varies dramatically between types of online marketing. It´s depending among other things on the product category, the creative content and the target audiences. P&G’s decision to cut 100 million in online spend is dramatic. If well grounded in analysis identifying specific online channel’s inefficiency, we welcome the boldness.

4 steps to measuring advertising effectiveness online and offline

Here is a Nepa best practice list for measuring advertising effectiveness:

  1. Keep your eyes on the ball. If incremental sales is your ultimate goal, this is your KPI, the goal variable your model aims at.
  2. Cross-channel analysis. We compare Digital and traditional media instead of measuring separately.
  3. Remember brand effects. A ROMI analysis is incomplete when it only takes into account sales that is generated within a week.
  4. Content matters. Nepa’s analyses repeatedly show how the return on media investments differ dramatically depending on the quality of the creative – quantified and incorporated in the model.

Please don’t hesitate to get in touch with me, if you’d like to learn more about how we at Nepa meet these challenges.

Kalle Backlund
Head of Analytics at Nepa UK

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Local retailers can use Big Data to bolster growth

July 17, 2017

Sam Richardson


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Amid a shift to online consumer spending, more than twice as many traditional brick and mortar retail outfits have shut shop through the first quarter, compared to the same period in 2016, according to Credit Suisse, which noted roughly 2,880 store closings by early April, compared to 1,153 during the same period last year.

This is not likely to be a passing trend; rather, it reflects a fundamental reset in the form of shifting customer preferences and habits amidst surging e-commerce. Amazon’s $13.7 billion bid for Whole Foods is yet another indicator of how mobile and non-traditional retailers are changing the dialogue. Amazon is further disrupting Colorado retail with its million square foot fulfillment center that will allow for same-day two-hour delivery with the goal of 30-minute delivery in the Denver metro area.

Behavioral insights and big data plays a productive role

As technology rapidly re-shapes the U.S. retail space, Colorado retailers are working to adapt. For many, local markets provide a strong base for expansion, with growing demand for specific goods such as health-oriented and organic products. The key to success lies in building on the Colorado market’s “bricks and mortar” mystique, while expanding strategically to attract the e-commerce customer as well as those that want the product on their terms. Here, behavioral insights and big data can play a productive role, even for relatively modest sized retailers.

State-of-the-art research is evolving rapidly, too, and now incorporates a broad range of tools to provide actionable data to retailers. This might include everything from

  • consumer panels;
  • customer feedback;
  • online consumer behavior and;
  • point-of-sale information.

The net results are better insights into customer behavior as well as more efficient and timely product presentation and inventory management, among other benefits. To take one example of how this works in practice, consider research, which finds that a specific product does not sell well on its own. However, pairing that product with one or more complimentary items or accessories can boost overall sales. Target Corporation adopted such a merchandising strategy with products like Kitchen in a Box, a cookware set, which has grown popular among single younger consumers, including college students.

Colorado is an attractive destination for many retailers

In Denver alone, roughly 1 million square feet of retail development was underway to close out 2016, according to local news reports. CBRE Research’s 2017 Global Real Estate Market Outlook cites an expectation that the city is expected to outperform many other global retail markets. The entry of Stamford, Conn.-based Vineyard Vines, the Martha’s Vineyard-style clothing chain, in Colorado’s Cherry Creek shopping district this summer is a recent example of a lifestyle brand setting up shop here.

Changing the retail mantra from location, location, location to data, data, data

While a rapidly growing population offers retailers opportunities, the cost of doing business at a physical location is often greater than the benefit, particularly when you take into account the increase in property prices and tax valuations. However, local retail businesses can attract more shoppers and maximize the impact of their media spends without necessarily making big investments. The first step involves addressing their customers’ need for the convenience offered by e-commerce shops through better customer experience strategies, including an emotional connection to the “local” retailer.  “Showrooming” – the use of physical store locations as a showcase for online products – represents another potential opportunity to drive growth.  Physical stores can support online sales, and vice versa. Both experiences can be improved by more granular customer insight, using data to better understand seasonality, cost sensitivity, and other buying patterns, for example. And that data needs to find its way further down in the organization to the store manager level, where it can be used to optimize individual customer interactions.

The world of retail is changing, but bricks and mortar won’t disappear. Colorado, in particular, owns a “lifestyle” brand that makes location in the state compelling. And the burgeoning market for marijuana sales is contributing to retail and restaurant growth, too. But, in the online world, the old maxim about “location, location, location” as the key to success no longer holds true. A more helpful mantra is “data, data, data” where actionable consumer insights are harnessed to build synergy between channels, supporting the growth of both physical stores and online sales.

I am the U.S. Managing Director of Nepa, a fast-growing brand tracking and consumer science firm focused on transforming customer data into actionable insights for companies. When you feel that your world of retail is changing, let me know and I will help you get on the right track. By the way, I´m based in Denver:)

Ken Peterson
Managing Director at Nepa USA

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We can predict the future

July 11, 2017

Sam Richardson


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A bold statement indeed, but not unjustified. Within the context of big data, it is conceivable that sooner rather than later, we will be able to accurately predict the future in big business. And here’s why.

Big data has come of age… Or has it?

As many people reading this will be aware, much has been written about big data in recent years in general, and its promise to revolutionize big business in particular.

Such is the power and pervasiveness of big data that in 2017, the big data analytics industry, dedicated to helping big businesses leverage petabytes of information now generated, is worth $122 billion, and still growing.

The basis of the big data promise is that extremely large data sets may be analyzed computationally to unlock hitherto unfathomable patterns, trends, and associations, especially relating to human behavior and interactions. And that this hidden insight would provide killer competitive advantage.

Diverse, disparate & messy data go into big data analytic tools, and actionable insights come out.

But so far, big data has somewhat disappointed in delivering killer competitor advantage.

All style and no substance, maybe

A common criticism is that big data analysis is often shallow compared to analysis of smaller data sets. In fact, in many big data projects, there is no large data analysis at all – the challenge is the extract, transform, load part of data handling. Thus big data has become pure process, and the meaning-making is lost.

In our experience, up to 80% of investments are spent organizing and structuring data – only to find that the analytics produced are not useful to the business. And having invested in purpose-built tools to analyse data at scale, businesses have often simply bought stylish interactive dashboards that visualize it.

Big data in and of itself is not enough

In reality, big data analysis must be situated in social, economic, and political context. But as companies invest large sums to derive insight, less than 40% of employees have sufficiently mature processes and skills to do so.

The Google Flu Trends project is often cited as an example of the failure of big data. The algorithm aimed to estimate the prevalence of real-world flu cases based on Google search queries trained on historical data about both. Initially it performed well, but was soon wildly over-estimating the number of cases. Machine-learned algorithms are supposed to get better over time, not worse.

GFT (Google Flu Trends) and other big data methods can be useful, but only if they’re paired with small data – traditional forms of information collection. Put the two together, and you can reach an excellent model of the world as it actually is.

Further, the use of multivariate methods that probe for the latent structure of the data, such as factor analysis and cluster analysis, have proven useful as analytic approaches that go beyond the bi-variate approaches (cross-tabs) typically employed with smaller data sets.

And this is where it gets interesting.

Predictive insight – accelerated performance

Within the big data conundrum, Nepa focuses on “predictive insight”. Predictive insights are an insight and a forecast. We use predictive rather than descriptive analytics to form repeatable insights, producing improved performance and optimizing ROI. Output is always “the next best action”, delivered as short and long term impacts to our clients’ business.

4 crucial factors for successful big data projects

When we undertake big data projects for our clients, we always stick to 4 proven parameters:

  1. Success with big data is starting small. Business value is the end goal. Pick a business challenge and build only the necessary to prove value. Be successful, fast! Grow with the next question.
  2. If you’re not keeping score, you are just practicing. Set clear success metrics based on a solid understanding of where decisions are made and the criteria they are based on.
  3. Working lean and iterating. Work with sample sets of data. Try new different methods. Validate with business decision makers and tweak if necessary.
  4. Projects are led by someone fluent in business and data science. Most data scientists come from “outside” of business. Few people in business speak data science. Successful programmes are led by people capable in both.

In staying true to these principles we provide the right type of insight, to right person at right time.

A case in point – companies expect good advice, again and again and again

In a big data project for one of our retail clients, a key business challenge was that the data structure for the direct-to-consumer business was not being used to its fullest potential. Output tended towards the simple descriptive, rather than the prescriptive. And diagnostics combining a breadth of multiple data sources to evaluate store performance were not easily available.

Our solution was to combine their data sets, and apply advanced data science modelling to generate holistic and predictive insight.

Data sources ranged from the internal, e.g. sales data, store & street traffic and product assortment as well as distribution numbers, to the external, e.g. weather patterns, and industry and consumer trends.

Our output consisted of:

  • Mid to long term strategic guidance;
  • Consulting with senior management in their decisions, including discount planning by region and store;
  • Long-term staff planning;
  • Optimal location for new stores;
  • Stores eligible for closing, to increase overall profitability.

All with the aim of optimizing profit across the business.

Big data needs big judgement

According to an article in the Harvard Business Review, big data must ultimately be complemented by big judgement for best effect, and that’s how we predict the future for our clients.

It’s our killer competitive advantage, that we make yours. So, why not get in touch with me and let´s start to predict your future.

Gabi Clark
Head of Insight at Nepa UK