Retailers and brands shortchange cross-platform analytics tools




Only 43 percent of brands have unified cross-platform analytics capabilities, preventing a consistent and complete view of their customers’ online engagement and behavior.
That’s a conclusion of the “The Future Of Analytics” study from Google and Forrester Consulting. Forrester surveyed 750 decision-makers responsible for analytics, media or marketing business insights in February and March.
Among the other findings:
- One-third of respondents have both website and app analytics, but siloed data;
- Thirteen percent have website analytics only;
- Seven percent have mobile app analytics only; and
- Four percent have no analytics platform.
The survey found a major gap between how critical respondents consider cross-platform analytics to be for achieving their organization’s marketing objectives (84 percent) and how many respondents consider their organization to be very effective at cross-platform analytics (44 percent).
Among the frustrations overall with analytics tools:
- Analytics tools that don’t surface insights easily, 56 percent;
- Inability to manage the freshness of data, 55 percent; and
- A lack of customization to business needs, 52 percent.
Asked what benefits their organization has realized from a cross-platform analytics tool, the top answers were: better cross-platform customer experience, cited by 80 percent; better marketing campaign outcomes, 76 percent; and ability to identify and remediate customer experience gaps across touchpoints, 75 percent.
The study stated, “Marketers often assume they know everything about their customers’ most important journeys, but cross-platform insights can reveal and help address unanticipated frustrations. For example, a spike in website activity to address a need could indicate that a customer cannot resolve their specific need through the existing content on the website. A marketer could then test different content on specific pages to address the customer need and enhance a better experience.”
Other conclusions from the study included that many organizations lack advanced AI/machine learning capabilities that can provide faster and deeper insights “to make marketing faster, more targeted, and less manual.” With increasing customer sensitivity about sharing personal, identifiable data, privacy concerns were found to be high as marketers consider future tool upgrades.
DISCUSSION QUESTIONS: What’s holding back marketers from tapping cross-platform analytics tools to improve customer experiences across channels? How confident are you that cross-platform analytics can resolve digital engagement behaviors, context and sentiment currently being missed by retailers and brands?
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20 Comments on "Retailers and brands shortchange cross-platform analytics tools"
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Marketing Strategy Lead - Retail, Travel & Distribution, Verizon
Siloed data is still an issue for many retailers and that is a severe limitation when trying to integrate analytics data. Another big challenge is identifying customer behavior across social media platforms to truly understand buyer journeys.
Founder, President, Bakertown Consulting
A big challenge is that many people in the business unit of these organizations are not asking the correct questions that can be solved from the data that is available. Many people assume that the data is going to tell them what to do – and that is simply not the case. The data is there to help the marketing teams determine if their hypotheses and strategies are correct or incorrect, but the data isn’t going to do it for them. Data has the opportunity to be a game changer for retailers and brands in the future if the leaders can optimize it.
CEO/Founder, Crobox
What I think is holding back marketers is not only siloed data, but also siloed organizations. In order to have cross channel analytics, departments need to work together, and given the legacy structures of many retailers, this may pose more of an organizational challenge.
Secondly, cross-platform analytics can provide a lot of value on customer behaviors and insights. The customer journey is cross-platform as well so there is a lot of contextual data at hand. The limitation is usually the actionability and creativity to utilize these data sets in a truly effective manner. Once organizations have found a workflow for this, I think it can become a big advantage.
Retail Strategy - UST Global
Actually I’m surprised it’s as high as 43 percent. I think the real prize is using customer information to make merchandising decisions (not just offers). I am betting that number is even smaller.
Professor, International Business, Guizhou University of Finance & Economics and University of Sanya, China.
It doesn’t surprise me that retailers and brands are slow at adapting cross-platform analytics. Historically neither category has been data driven in decision making. I have been in the business for 50 years and I have regularly seen companies spend money on research then make decisions completely contrary to that research because they thought they knew better.
In terms of consumer behavior, it isn’t that the data is poor. Facebook and Google sure know how to use it. I believe that there is a gut understanding that data takes decision making away from the decision makers. Shall I call it ego or ignorance?
But it will change. Those companies that embrace all data and its value will excel in the next five years, those that don’t will fade away.
Managing Partner Cambridge Retail Advisors
This is all about the silos of data in my opinion. We have made investments in point solution analytics, products that come with an ERP system or a particular product, but nothing with a holistic approach that orchestrates the entire application portfolio. We need a unified commerce approach that eliminates the silos and marries the analytics across platforms. The only thing preventing this is investment dollars.
Managing Director, StoreStream Metrics, LLC
Data has become the same as standards. It was said that that global standards were a great thing – everyone should have them. The same can be said of data. We have access to more data than we can imagine yet very few organizations have the courage and organizational skills to ask, what is the problem that we actually want to solve? I worked on a project where a QSR had data to predictively optimize pricing, margin, and inventory on every menu item down to each specific location yet management just couldn’t find a way to execute across its organization despite the promise of increased profits and less waste.
President, City Square Partners LLC
In any company there needs to be foundational understanding about how data is stored, used and made available for business analytics. In other words, data governance. What has happened in the retail industry is that everyone from merchandising to marketing has built their own path, with their own sets of data and in some cases their own platforms to store and use their data. Cross-platform analytical tools are quickly becoming a requirement for retail organizations to try to bridge the gaps between legacy systems and data sets. This has to be done for the future success of analytics to support the needs of retail.
Retail Solutions Executive, Teradata
CEO, Currency Alliance
VP of Strategy, Aptos
There is a constant pendulum swing related to channels and insights – retailers invest to get one view of the customer, but then customer behavior shifts to new forms of interaction that are outside of the retailer’s current ability to track. Retailers shift their attention to attaining mastery of the new channels but focus less on that consolidated view – until the customer view gets so fractured that they have to make new investments in analytics to get that single view back.
This is a cycle with no end – retailers would do well to view one view of the customer or customer analytics not as a project but as a lifestyle.
Founding Partner, Merchandising Metrics
Sounds to me like 57 percent of brands do not have a clear view of their own brand promise and core/target customer. Do they have product/customer focused teams or channel focused teams? The execution of serving the customer is certainly a lot more complicated than it was a couple of years ago. But that’s operations, whether it’s supply chain at the beginning of the process or fulfillment at the end of the process. The data should be driving the product that populates the process. It may take different listening skills to deal with the nuances of demand at the brick and mortar level versus the e-commerce level, but it all still has to come back to a focused brand promise and a focused core/target customer. Maybe pivot tables aren’t up to the job anymore, but it’s still surprising that only 43 percent of brands have risen to this challenge.
President, Protonik
My concern is that retailers are constantly directed to spend vast sums of money integrating data in the hope that something will be discovered. What we rarely see are any examples of those efforts turning a sweet profit.
My recommendation to retailers: Before every additional tech investment, take a hard look at whether it has the likelihood of turning a profit. If not, there have to be extremely critical survival reasons to spend the money and usually there aren’t.
Founder | CEO, Female Brain Ai & Prefeye - Preference Science Technologies Inc.
What is in the way of cross-platform analytic tools? Humans. Individual human mindsets. It’s hard to document or control the unspoken power of corporate fiefdoms, gatekeeper controls, fear of exposing knowledge gaps, etc. Much like the IT “expert” gatekeepers of the past, today crossing the cross-platform technical chasm intimidates many into submission. Why take the risk? This leads to the article’s question. Can cross-platform analytics resolve digital engagement? Likely never, given 20 years of trying, stymied by the interaction of a myriad of corporate, individual human behaviors. Yet as we all know, it can be done — as evidenced by the Amazon and Google corporate mindset.
Global Industry Architect, Microsoft Retail
This should not surprise use. Different parts of organizations have different needs and sometimes run at different speeds. Sometimes the “corporate standard” set of tools will not solve specific problems. The ability to consolidate single data views via real-time integration is a major barrier to attaining things like a single view of the customer in order to drive and enable customer experience improvements.
SVP Sales & Business Development, Theatro
First, we need to recognize that this is hard stuff. First, getting all data in a unified data lake/pool/warehouse is very difficult. Second, ensuring data accuracy is difficult. Third, creating and deploying analytics that actually result in insight, let alone action, is difficult. Finally, getting the right stakeholders to decide and execute actions from those insights on a timely basis is difficult. Throw in the classic issues created by siloed organizations and, most importantly, siloed measurements and incentives and you have the perfect environment for inaction or late action.
Let’s get the measurements and incentives aligned and the source of those measurements centralized and then you can expect to make progress on enterprise analytics.
Chief Marketing Officer, PerimeterX
Taking liberties with an old adage, “Half the money I spend on marketing works; the trouble is I don’t know which half” is something that weighs heavily on marketers. The lack of comprehensive data feeds this challenge. The insights drawn from cross platform analytics can help marketers better understand digital behaviors, but it will take a multi-discipline effort to bring that to reality. In most cases, the data required is owned by marketing, sales, e-commerce, digital, IT and finance, so a broad initiative with the right executive sponsorship will be required to truly understand and improve customer experiences.
Contributing Editor, RetailWire; Founder and CEO, Vision First
Retailers’ inability to access connect and analyze information across their organization is legendary, even though there are significant benefits to be gained. Harnessing the power of data can improve sales, margins and loyalty.
Consultant, Total Wine & More
Good data is essential to a successful retail business. But consumers don’t make their retail choices using a single purchasing channel. To really know their customers and market to them effectively, retailers need the holistic consumer insights that only comprehensive, cross-platform analytics can provide.
But cross-platform analytics aren’t easy to implement. Apps, websites and online services accumulate data in application-specific silos. To access the bigger data picture, retailers have to make additional investments in data infrastructure and artificial intelligence. For many retailers, that additional investment seems like an unnecessary and potentially costly add-on to their marketing strategy, but they are worth the investment. Cross-platform analytics empower retailers to track consumer behavior across every channel and are an indispensable tool in crafting personalized user experiences that will drive the most sales.
Vice President, Research at IDC
Integration and the costs associated with it. A typical integration of even two simple cross-platform analytical tools will have several steps from governance to data cleansing to make sure the data is compatible and usable. These challenges increase the cost multifold and exponentially impact cross-platform analytics when attempting to leverage data for decision making.
The second reason would be accessibility to the right pieces of data. Most retailers are satisfied with partial data sets, but these don’t tell the full story — even with cross-analytic platforms and tools, data external to the organization is hidden making real time, accurate decisions challenging. Hence the rejection of leaders when their multi-million dollar investment doesn’t provide the silver bullet they were hoping for.
Instead, with smart evaluation and strong data science principles, organizations can leverage cross-analytic programs to offer up selective and focused solutions, limited data sets going after specific cross-analytic data that address specific problems rather than boiling the ocean. This is where the cross-analytic platforms can become valuable and earn their investment dollars.