Weaponize B2B Data for 2019 With These Tactics

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 ready to launch their 2019 plans, we urge them to take basic steps to ready their data-driven marketing for max 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

2018 Offers New and Old Marketing Data Challenges

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.

What Data Questions Should Agency Agreements Address?

As a data broker and data services provider, AccuList USA knows first-hand that the era of “big data” has created both greater opportunities and greater complications for marketers in terms of access and use of data. In fact, Advertising Audit and Risk Management (AARM), a North American provider of independent advertising audit and consulting services, recently urged advertisers and marketers to review agency contracts to make sure they address evolving “big data” issues.

Unanswered Data Questions Leave Risky Gaps

Data can drive a precisely targeted marketing strategy by leveraging insights from transactional and customer behavioral data–assuming that the advertiser/marketer has the right to receive and use that data. Based on their experience, AARM cites at least six key, but often unanswered, data questions that advertisers should cover in contracts. Those questions include:

  • Who owns the data?
  • Where is the data stored?
  • For how long?
  • How secure is the data?
  • Is the data kept separate from that of other advertisers?
  • Is your data being used to aid other advertisers?
Everybody Wants to Claim Valuable Data

AARM points out that data ownership is not automatically ceded to an advertiser or marketer despite investment in a media buy generating a data stream. Many within the media chain may try to claim the generated data: Ad agencies, trading desks, publishers, demand-side platforms, and third-party ad servers all may seek unrestricted access, if not ownership, of valuable customer data. That’s why marketers and advertisers need to be sure that legal agreements clearly and consistently spell out data ownership rights, privacy considerations and third-party access rights.

Guarding First-, Second- and Third-Party Data

Ownership and access to third-party data–often sourced from agencies and ad tech providers–is usually clearly spelled out in licensing agreements between stakeholders. But AARM notes that advertisers also need to be careful that second-party data, meaning information gathered indirectly from users via an advertiser’s relationship with another entity (such as an SEO platform or behaviorally targeted digital display ad), is used or shared in a privacy-compliant manner.  Advertisers must guard their first-party data, too, AARM cautions. For example, there are data privacy and security risks for first-party data used in programmatic digital and addressable TV buys, where unregulated, unsupervised use could violate privacy rights.

For AARM’s article, “Big Data. Big Deal. You Bet,” see https://marketingmath.aarmusa.com/2016/12/05/big-data-big-deal-you-bet/