Weaponize B2B Data for 2019 With These Tactics

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Targeted, clean data is a key deliverable of AccuList USA’s data services and list brokerage efforts for business-to-business marketing clients. And as those clients prepare their 2019 plans, we urge them to take basic steps to ready their data-driven marketing for maximum performance. A Martech Today post by Scott Vaughn sets the stage by recommending five essential data-oriented strategies for B2B.

Precisely Defined Audience Targets Using Clean Data

Good response and conversion depend on identifying and engaging the right audiences, meaning the right companies and the right decision-makers within those companies, Vaughn reminds. To target that right audience requires processes for capturing critical data about prospects, customers and their purchase journey with precision, he asserts, and recommends a strategy of starting with a smaller universe of accounts and roles to more precisely define best targets–and then testing and using advanced strategies, such as predictive marketing and intent-data modeling, to expand to more accounts and buyers. But that kind of data targeting only works if marketers are looking at quality data, so data hygiene is another necessity. When a recent DemandGen survey finds that more than 35% of the data in existing databases is unmarketable on average, avoiding wasted dollars means instituting a “get clean, stay clean” data-hygiene effort for 2019, Vaughn urges. The hygiene regimen should include regularly auditing of data-capture processes and sources, using filters before data can enter the database, and maintaining a cleansing process to eliminate records that are invalid, non-standardized, duplicate or non-compliant.

Permission-Based Trust and Speedy Follow-up

Because today’s buyers are leery of companies and brands that don’t treat their information with care and because stringent data-privacy laws are being deployed around the globe, B2B marketers must have a proactive permission-based marketing plan for their data, warns Vaughn That includes asking for opt-in everywhere and having very visible, clear explanations of how behavioral data, such as website cookies, is used. Meanwhile, prospects and customers have not only come to expect data privacy, they have become used to the rapid, real-time response of the digital market. Yet for many B2B campaigns, it takes two or three days to follow up on a lead or inquiry, or even seven or eight days just to get leads loaded into marketing automation or CRM software! Vaughn proposes a concerted effort to speed data handling by identifying areas where data can be routed faster and reaction time reduced and then initiating sales and marketing training on speedier handling at each stage of the customer journey. That’s why many executive teams now prioritize a measure of “pipeline velocity,” meaning the time from when an opportunity is created to when the deal is closed, to improve revenues.

Agreeing on Measurements That Matter

Accurate, targeted, speedy data processes don’t automatically result in ROI improvement, however–not if data analysis ends up focused on the wrong metrics. Vaughn reports that high-performing marketing teams use insights with these key ingredients: agreed-upon key performance indicators (KPIs); tools that can measure performance; and easy-to-use dashboards that can help all stakeholders (marketing, sales, execs, etc.) make smarter decisions. For his complete article, see https://martechtoday.com/5-essential-strategies-b2b-marketers-must-master-in-2019-228066

Industrial Marketers Bet More on 2018 Direct & Digital

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AccuList USA has a long track record of helping warehouse, industrial and back-office product marketers via data brokerage, predictive analytics and multi-channel direct marketing, and we’ve learned some important lessons along the way.

Industrial & Tech Marketing Budgets Expand in 2018

The good news is that many industrial marketers were inspired to expand investment in 2018. According to the “2018 Budget Trends in Industrial & Technology Marketing” report published by engineering.com, industrial marketing budgets in 2018 are expected to hit “the highest levels of growth (45%) and the lowest reported levels of shrinking budgets (4%), of any of the last five years.” More than half (54%) of manufacturing marketers expect their budget to be larger in 2018.

Quality, Targeted Data Is Key to B2B Direct Marketing

But expanded multi-channel spending still needs to be smart spending. As data brokers, we can’t overemphasize that successful B2B direct marketing–including direct mail, print catalogs and e-mail campaigns–starts with quality, targeted data. Marketers can boost response by using predictive analytics and buyer profiles to target–and then opt for the rental lists of active product inquirers/buyers that our proprietary list research finds to be top performers in each vertical. Targeting the right message to decision-makers in the buying process is also key; with product and industry factors affecting whether to select a chief engineer, purchasing manager, warehouse manager, human resources chief, or C-suite executive in mailing lists.

A Digital Strategy Is Now Essential for Leads and Sales

While direct mail continues its response leadership, there’s no denying that most B2B buyers are digital shoppers today. Research by Acquity Group finds 94% of B2B buyers say they conduct some form of online research before purchasing a business product, for example. Forrester Research has found that 59% of B2B buyers prefer not to interact with a sales rep, and 74% find buying from a website more convenient. That makes digital catalog sites into essential sales tools, giving customers the option to browse product, pricing, and inventory information in real-time and then self-serve. Of course, online traffic-building requires a good search engine optimization (SEO) strategy given that 73% of global traffic to B2B companies comes from search engine results. But most successful B2B marketers also invest in paid digital efforts. In fact, a 2015 study by Content Marketing Institute, MarketingProfs, and Fathom found that manufacturers ranked search engine marketing highest among paid marketing options in terms of efficacy (52%) and promoted social media posts came in second (39%).  For social media ads, B2B marketers see video as a top response tactic, which is why manufacturers in the study ranked YouTube as the most effective social media site, followed by LinkedIn ads, which AccuList USA supports. Take a deeper dive into the core elements of digital industrial marketing with this post by gorilla76, a B2B consulting firm.

 

 

 

Shoppers Demand Seamless Omnichannel Retail Strategies

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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

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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.

How Can Performing Arts Marketing Find the Best Targets?

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Since AccuList USA has successfully worked with performing arts and cultural organizations in audience development, supplying data and data services to help them acquire new patrons, ticket buyers and supporters, we were happy to see a recent npENGAGE.com post underscoring the key role of quality data targeting in performing arts marketing success.

Identify & Understand the Best Audience

Basically, performing arts marketers must acquire prospects with the potential to become long-term, high-value patrons; retain them; and maximize their dollar contributions. That challenge is not easy when studies show 72% of single-ticket buyers do not return, points out npENGAGE article author Chuck Turner, a senior analytics specialist at the Target Analytics agency for arts and cultural clients.  So a cost-effective marketing strategy will rely on data analytics both to target those with the highest relationship potential and to personalize messaging and offers for boosted ROI and loyalty.

Target to Increase Revenue & Donations

Analysis should look at the value of patrons in terms of the average of all revenue earned, including things such as gift shop and concession sales and tuition for classes offered, as well as ticket sales and subscriptions, Turner urges. That means targeting likely high-revenue prospects, plus, since it’s easier to increase revenue from existing patrons than to acquire new ones, targeting the right members of the audience pool for offers of add-ons and upgrades. For both groups, Turner suggests selecting those with higher average income, and thus higher capacity to spend. According to the Bureau of Labor Statistics, the average high-income person spends over $8,200 on entertainment each year, so if average program revenue per attendee is $34.33 (the average performing arts program revenue per attendee in 2013), there’s room to grab a bigger share! When it comes to increasing donations, external list data on both discretionary spending ability and nonprofit donation history can be used to target significant nonprofit donor prospects for acquisition, and that data can be appended to the existing audience database to better target for add-ons and upgrades. Turner points to Target Analytics findings that, on average, up to 40% of nonprofit audiences can be top prospects for significant contributory giving–if you communicate to prospects with a message that resonates with their mission-based interest.

Segment to Maximize Lifetime Value

With limited resources, performing arts marketers need to be more strategic and proactive in focusing on the most valuable segments. This means tracking lifetime value, defined as the net profit attributed to the entire future relationship discounted to its current value. Again, quality data can help target the right people–those with high lifetime value–with the right message. For both audience database and prospecting mailing lists, Turner stresses selecting targets based on charitable giving and income/discretionary spending ability. Conversely, knowing those unlikely to donate or spend helps minimize investment in unprofitable segments. For more, see https://npengage.com/nonprofit-fundraising/arts-fundraising-and-analytics/

Focus on E-mail Data for 2018 Insurance Marketing Success

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Success with e-mail in 2018 insurance marketing boils down to using quality, targeted data–something that AccuList USA is committed to delivering. Data provider V12Data summed it up well in a recent post offering basic insurance e-mail data tips.

Start With Clean, Up-to-Date Data

With an estimated 30% of e-mail subscribers changing their addresses each year, make sure all e-mail lists are up-to-date, with addresses validated and verified, including any e-mail addresses that have been matched and appended to a postal list. Good list hygiene should include removing duplicates; correcting formatting errors; identifying addresses known to be associated with spam traps; and eliminating hard bounces, invalid e-mails/domains, and e-mails associated with complaints.

Profile, Segment and Personalize

There’s no point to all that quality e-mail data if it’s not used to understand and target your audience. That means looking at both actionable internal data, such as customer service records, transactions, credit card purchases or e-mail responses as well as relevant demographic data, either from first-party collection or appended via third-party data aggregators. Consumer demographics could include date of birth, home ownership, occupation, gender, estimated income, age, presence of children, investments and more. Then segment your lists in order to offer the right product to the right audience segment. Plus use data to personalize offers and creative, and that means going beyond a Dear FirstName. Today’s e-mail audience expects and demands personalized offers.

Pay Attention to Buying Cycle and Life Cycle

Smart e-mail campaigns nurture customers and prospects through the buying cycle. Because those who request general information and those who fill out a request for quote form may be at different stages of the buying cycle, they need different messaging. Website signups can be sent a personalized welcome message, while subscribers who have not taken further action can get a follow-up nurturing message about products and services, with a call-to-action promoting a free quote or agent call. When a prospect makes a quote request, e-mail messaging can focus on getting to a policy sale, with more policy information and a specific offer or promotion. Note that life cycle counts as much as buying cycle. Consumers are more likely to buy insurance during major life-event changes, such as marriage, divorce, moving, home purchase, a new baby, retirement, etc.  Leveraging that data in targeting sends the right offer at the right time for maximum response.

Check out AccuList USA’s insurance marketing data expertise and clients on our website.

 

Skeptical of Marketing Tech Buzzwords? You’re Not Alone

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To help support direct marketing clients, AccuList USA tries to keep up with the latest in marketing technology and tactics, and so we’ve been bombarded along with clients by advice on how to seize opportunities with personalization, “big data,” omnichannel, real-time marketing, and, most recently, artificial intelligence (AI). Marketers struggling to find room in real-world budgets often worry that they’re falling behind in an escalating martech arms race! New research by Resulticks—a survey of over 300 marketing pros across industry verticals—offers interesting perspective.

Big Expectations: Big Data and Personalization

“Big Data” was the hot topic at the 2013 DMA Annual Conference, with 50% of marketers enthusiastic about investing. But making practical sense of those data torrents turned out to be more difficult than expected. Resulticks finds that only 16% of today’s marketers have fully implemented big data solutions, 20% have given up on the concept, and just 27% rank big data as a top priority now. Part of the problem is overhyped, underperforming martech platforms, per the survey, with 21% of marketers complaining that vendors overpromise and underdeliver. In contrast, personalization—meaning targeting that goes beyond basic attributes such as name to deeper parameters such as purchase history and online behavior—has done better in fulfilling expectations, with 60% of today’s marketers reporting full or partial implementation. The only fly in the ointment: Tech investments have not always kept pace with enthusiasm, and only 20% rate their software ability to deliver personalization as “excellent.”

Technically Challenged: Omnichannel

Back in 2014, one study found almost half of retailers saying they were going to commit to an “omnichannel” approach. Unlike multichannel marketing, where marketers touch customers at multiple points on their journey, the ambitious goal of omnichannel marketing is to create a seamless customer experience across all channels. Resulticks finds that only 9% of today’s marketers describe their approach as omnichannel, compared with 63% who use a multichannel approach. Technical barriers explain omnichannel’s failure to thrive. Only 35% have fully or partially implemented the required software platforms for omnichannel, and, among those who have bet on platforms, 58% rank vendor execution as “poor” to “fair” (compared with 13% who give their omnichannel software “excellent” marks).

Enthusiastic Embrace: Real-time Marketing

There’s a better report card for the “real-time marketing” that rapidly uses data across channels for more timely, targeted engagement in the customer journey. Resulticks reports that 49% of marketers rate their real-time marketing ability as “good” to “excellent,” that half say they have fully or partially implemented real-time marketing solutions, and that 47% say real-time is a priority for their organizations today. However, many marketers may need to adjust their definition of “real-time” if they want to compete for customers’ expectations; 47% are defining real-time as responding in an hour or more (with 20% taking a day or more), compared with the 12% delivering true real-time response in the milliseconds.

New Kid on the Block: AI

Social media giants have been betting on AI, and marketers are following their lead, with one study showing more than 50% planning to adopt AI in the next two years. However, Resulticks’ survey finds almost half (47%) of the marketers polled already rate AI as overhyped. Here’s a big source of that skepticism: 43% of marketers believe martech software vendors overpromise and underdeliver, and 69% rate their vendors’ ability to execute AI as “fair” to “poor.”

To download the study report, go to https://www.resulticks.com/marketingflabtofab.html

2018 Offers New and Old Marketing Data Challenges

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As a data broker, AccuList USA is committed to helping its data services clients with data gathering, quality, targeting and analytics. Looking ahead to 2018, we see new and old data issues for direct marketers. A recent Forbes magazine interview with Tom Benton, the CEO of the Data & Marketing Association (DMA), highlighted six of those data challenges for next year.

Perennial Problems From Quality and Integration

Given the huge amount and types of data streaming into marketers, many are struggling to decide which data sets to use and which to ignore, how to keep data accurate and actionable, and how to integrate new data with existing data. Several practices for 2018 success are suggested: clear business goals and target audiences to narrow the data focus; a clear test case for examining or onboarding data; regular examination of new and legacy data accuracy and value; and systems for integrating new data with existing data, especially given the new types of data streams available–everything from wearable gym trackers to chatbots to grocery checkouts.

New Opportunities Via Technology

The Forbes overview also cites the exciting opportunities coming from new marketing tech tools, such as augmented reality (AR), machine learning and AI. Are you ready to take advantage? The articles offers the example of how 1-800-Flowers improved customer experience by integrating the company’s website with artificial intelligence (AI) technology and natural language processing to understand customer demand and then search the product catalog to deliver customized recommendations. Use of AR today ranges from AMC theater movie posters to Simmons Bedding Co. product demos to labels of Australia’s 19 Crimes wine brand. And consider that digital growth company Urban Airship has developed a machine learning algorithm to analyze mobile customer behavior and help app publishers identify the most loyal users and predict those that are likely to churn to improve retention investment in specific customer segments.

Challenges With Cybersecurity and European Rules

If customers don’t trust that sensitive information will be safeguarded, they’ll stop engaging, hurting not only individual brands but the data-driven community. Massive data security breaches made headlines in 2017. That makes data security a top concern to retain customers and prevent risk in 2018, per Benton. Meanwhile, American marketers who seek to tap European markets need to get ready for the enactment of the European Union’s new General Data Protection Regulation (GDPR), taking effect May of 2018. The regulations will set a new baseline for consumer privacy rights and focus on ensuring that proper consents are obtained for a range of data sets and that other privacy rights are observed, such as the “right to be forgotten.”

For more on 2018 data trends, read the Forbes article.

Fundraising Mail Benefits From Data-Rich List Segmentation

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Because effective data use is so key to nonprofit direct mail success, AccuList USA goes beyond data brokerage and supports fundraising clients with merge-purge and segmentation, predictive analytics, and data hygiene and appending, as well as rental list vetting and parameter selection.

Limited Data Limits Response

Some fundraisers question the need for a more sophisticated data approach, of course. So we’ll pass along a recent NonProfitPRO blog post by Chris Pritcher, of Merkle’s Quantitative Marketing Group, which challenges overly narrow views of donor data. Too often, using data to understand the donor base is limited to one of two categories, Pritcher notes: 1) RFM (recency, frequency, monetary) data and giving history, or 2) donor demographics and behavioral measures, ranging from factors such as wealth or related interests/purchases to applying behavior-lifestyle systems such as Prizm. Whether the data is first-party or third-party sourced, each approach has its limitations. RFM often silos data from a single channel, for example, even though donors live in a multi-channel world. RFM also focuses mainly on short-term financial action, ignoring donors, especially Millennials, whose giving is maximized through an interactive, long-term relationship. Meanwhile, though donor demographics can help avoid low-opportunity lists and segments, demographics in isolation may be too general for effective response targeting. Wealth data indicates who has money but not who is willing to give that money to a specific cause, as Pritcher points out.

Multi-dimensional View Enriches Segmentation

Pritcher urges fundraisers to step up their donor targeting and embrace “multi-dimensional segmentation” over the either/or data approach described above. Instead, nonprofits can analyze donor actions (both financial and non-financial) along with data such as demographics, wealth, donations to other organizations, etc., to create more actionable segments. Here are some of his basic tips for success: 1) avoid a myopic view by using financial and non-financial information across channels; 2) control scale by limiting segments and focusing on actionable over descriptive data; 3) include a plan for migrating donors into the most engaged segments; 4) focus strategy and budget on top donor segments, and use segmentation to acquire prospects likely to grow into similarly engaged donors; 5) target messaging by segment to further boost response, affinity and loyalty.

For the complete article, go to http://www.nonprofitpro.com/post/who-exactly-are-your-donors/

How B2B and B2C Data Silos Spoil Marketing Harvests

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Silos can be great for agricultural storage, but they spell trouble when we’re talking about customer data trapped in company departmental and systems silos. As a data services provider in the age of multi-channel “big data,” AccuList USA certainly has client experiences that attest to the value of integrated marketing data and analysis, and the dangers of data silos.

Data Silos Undermine Big and Small Marketers

Research shows the magnitude of the problem. For example, a recent blog post by Veriday, a digital marketing company, noted that more than 80% of marketers say data silos within marketing obscure a seamless view of campaigns and customers. And that doesn’t even consider data trapped outside marketing in IT, sales, etc. In larger, older companies, many data silos result when outdated processes and separate information systems hamper linkages. Yet silos are not just a big-business issue given the average small business today is using 14.3 different systems, as the Veriday post points out. Yes, information can be transferred between silos via import/export or manual efforts, but this risks duplication, errors, delays, inconsistent hygiene and inaccurate updating. Marketers are likely to face poor immediate ROI and wasted future opportunities from an incomplete and inaccurate picture of customers, campaigns and channel results. Smart marketers will invest in solutions, such as third-party support, software for content management and marketing automation, and data warehousing.

Silos Prevent Personalized B2C Marketing Success

In business-to-consumer marketing, data silo risks are growing more acute, stresses a Forbes magazine article by Denise Persson, CMO at Snowflake, a data warehouse firm. She cites Accenture survey results showing that, while the promise of a deal or discount was the top driver of customer loyalty last year, in 2017, 58% of customers find marketing programs that are highly tailored to their needs much more enticing. As customers demand more personalized marketing, marketers can embrace targeted, contextual approaches using search terms, browser history, etc. But, Persson warns, if each marketing channel–website, social media, e-mail, online ads, direct mail–uses a different set of data to develop a different channel strategy, marketers will end up with a fragmented customer picture delivering a fragmented brand experience! Persson urges centralized storage and analysis to allow for a full line of sight into customer activity; real-time data access and analysis; channel attribution visibility; and tailored loyalty programs.

B2B Silos, Separated From B2C, Miss Audience

Another type of silo can impact business-to-business efforts: isolating business-to-business from business-to-consumer data. A blog post by Ajay Gupta, founder of Stirista, a digital marketing agency, points out the myopia of failing to link business and consumer data, especially now that digital media is blurring the line between professional and personal lives. Gupta gives the example of a company that wants to market a personal electronic device by targeting a proven business prospect list with only B2B e-mail addresses. If the company enhances the prospects’ B2B info with B2C data, it could expand its reach by sending out e-mails to B2C addresses, direct mail to home addresses, online display ads via digital cookies, plus targeted social media ads! Linking B2B and B2C data is a great tool for B2B onboarding, argues Gupta. Since data management platforms match B2C e-mails at a higher rate, linking B2B data to B2C e-mail addresses boosts reach. Creating custom audiences on social media can also benefit from a B2B link to B2C. Since most people use their personal e-mail addresses when they create social media accounts, connecting B2B data to personal e-mails will help reach far more B2B prospects on social media, too. Check out Gupta’s complete article.