Shoppers Demand Seamless Omnichannel Retail Strategies

Omnichannel marketing is the rule for today’s retailing. While print catalogs continue as a vital merchant tool, with 42% of households reading catalogs per the U.S. Postal Service, integration of multiple channels–including online, mobile and social with direct mail–is now essential to our catalog and e-commerce clients’ success. Unfortunately, while the majority of consumers expect to shop seamlessly across all those channels, only 7% of retailers provide the unified “start the sale anywhere, finish the sale anywhere” experience that customers want, per the recent “2018 Customer Experience/Unified Commerce Survey” by BRP Consulting, a retail management consulting firm.

Omnichannel, Cross-Device Shopping Is Now the Norm

Marketers just can’t afford to ignore that the majority of shoppers now interact with promotions, educational content and purchase services via multiple channels and devices. According to the same BRP study, three in five (62%) consumers surveyed said they check online reviews/ratings before visiting a store, yet just 61% of retailers offer consumer product reviews for research! Shoppers now rely on mobile to continue the digitally supported buying process in-store, with nearly 60% of shoppers looking up product information and prices while using their mobile phones in stores, per Retail Dive’s 2017 Consumer Survey. Also per BRP, nearly three out of four (73%) of consumers want the ability to track orders across all points of interaction, going beyond an estimated delivery date to include when the order is being prepared, date shipped from the warehouse, etc. Plus customers expect an automated return process, with 68% of consumers surveyed telling BRP they are more likely to choose a retailer offering an automated returns process.

Analytics Need Complex Channel/Device Attribution

Merchants can leverage customers’ cross-device penchant to optimize acquisition and conversion, argues a Direct Marketing News article by Pierre DeBois. But they must keep in mind that, while the opportunity to boost ad frequency and content persuasion across channels is huge, smart management is required to avoid turning targeted promotion into a bludgeon. As Bill Kee, Google’s group product manager for attribution, highlighted at the 2017 Google Marketing Next conference, “If I am on three devices, and if I see your ad five times, it means you’ve reached me 15 times…believe me I get it.” The first place to start is good omnichannel analytics to understand the contribution of each channel to ROI and its place in the customer journey. Only then can merchants cost-effectively tailor targeting and investment to maximize sales. One useful analytics tool is Google’s Unique Reach report, which displays digital ad frequency metrics across devices, campaigns, and formats to measure how many times a person views a given ad, and combines attribution influences from AdWords, DoubleClick, and Google Analytics, suggests DeBois.

Using Images and Chat to Direct the Customer Journey

Good omnichannel analytics also can improve use of image and video content to maximize the proven effectiveness of image/video in digital engagement, to answer the customer demand for education, and to direct prospects through the sales funnel. However, quantities of images bombarding customers across multiple channels can overwhelm and confuse, so both media curation and a content mapping strategy aligned to the customer journey are needed. One example of a targeted image strategy is use of an “image story” feature on a social media platform to orchestrate images and/or a short video, notes DeBois. Pinterest Lens, Instagram Stories, and Twitter Moments are all image story features. Because the majority of consumers research products and services online now, marketers also can gain an edge over competitors by offering customer-facing elements such as chatbots. In contrast to apps, which may be used only for a few discrete tasks and then ignored, a chatbot’s programmable assistance can provide both engagement and continuing response performance improvement.

For more, see the Direct Marketing News article.

Why You Should De-dupe Your Data

In today’s data-driven marketing, data is not only the most important asset that your company can have but can also make or break your campaign. Having clean data impacts not only marketing activities but also impacts your reputation, operations and decision-making. De-duping is one of the most important aspects of overall data hygiene. Duplicates can be found on many levels of data; they arise at the household level, individual e-mail level or company level. But before you can de-dupe your data, you must make sure you have a clear definition of what a duplicate is. Some businesses de-dupe based on a household address for direct mail campaigns, others on an e-mail basis for e-mail marketing campaigns, and some de-dupe based on the company level. If you are still not convinced that you need to de-dupe, consider the following benefits:

Avoiding Different Offers to the Same Customer

Having direct mail going out to the same household can be costly, and it can also be extremely embarrassing. For example, you send two different direct mail creatives to the same household. As one of the records was a customer, you decided to provide a returning customer 15% off, while the other record was marked as a prospect and only got 10% off. Now the person opening both direct mails will be confused by having two different discounts, and the company also can face a PR nightmare.

Cutting Unnecessary Cost

It goes without saying that having duplicates increases your cost. For example, assume you are doing a direct mail creative which costs you $5 per mailing. Your list contains 10,000 recipients. The total cost of mailings therefore is $50,000. If you decided to de-dupe, you would find out that 10% of your mailing list was duplicated. Therefore, $5,000 was a waste of resources. It would have been much cheaper to de-dupe prior to deploying your campaign.

Good Analytics for Decision-making 

Analytics is important not just from a perspective of understanding how your marketing and sales is performing but also from a decision-making perspective. By having duplicates in your CRM, you are going to be double-counting your list capabilities, miscalculating your true growth rates, and getting the wrong rate of responses. If you are looking to make a decision on future campaigns, basing it on duplicate data will give you the wrong list count, wrong budget and possibly the wrong creative picked (especially if you are basing it on an A/B testing done previously).

Reducing Customer Service Confusions

If there are duplicates in your CRM system, having clients call in, e-mail or come into the store will make it difficult for staff to track down the right individual. For example, Mary Smith is found twice in your CRM with the same phone number. She calls in to your customer support to inquire about her order status. Your customer service rep decides to pull up the customer account by phone number and finds two records. Now she has to put the customer on hold while she checks both accounts to try to locate the last purchase before she can even assist the customer. Not only is it wasting everyone’s time and making customer service inefficient, it also makes the customer have a bad customer service experience.

Preventing Potential Loss of Sales

Finally, the biggest impact that duplicates have on your business is a potential loss of sale. If you have duplicates, you do not have a true view of all prospect or customer activities. Therefore, you could be excluding prospects from a sales call because your lead scoring system indicated that they are not ready. However, if the data from both records was combined, you would have all signals indicating they are ready to be passed on to sales. With duplicates, by the time you figure it out, a customer may have already lost interest and gone with your competitor.

You can easily de-dupe your list by using a de-duping tool that will require less effort to identify duplicates and establish a master record than is required to deal with the consequences of duplicate data. De-duping should be part of your data-cleaning initiative, either prior to any major campaign or on a yearly basis.

If you are interested in data clean-up and use of a de-duping tool, contact guest author Anna Kayfitz, CEO of StrategicDB Corp.