Strategies Can Bolster Fundraising If the Economy Turns Rocky

Although economic growth and jobs data continue strong at the start of the year, many AccuList® nonprofit clients still express anxiety about the impact on charitable giving of higher inflation or even recession later in 2023. Here's the advice from fundraising veterans: Stay the course and avoid the temptation to cut back on direct mail or digital marketing. When fundraisers reduce the channels and frequency of donor requests, they cut opportunities for giving and erode long-term connections. 

A better way to offset economic drags is to increase the efficiency of donor acquisition and retention programs. For direct mailings, costs can be reduced by tactics such as modified package size and pre-sorting, as well as by greater mailing list efficiency. Using the best-performing vertical lists and modeled data can boost donor prospecting ROI, for example, while house donor lists can select out lower-value or lower-response segments. 

In tougher times, nonprofits also can't afford the waste of bad data. OneCause, a provider of event and online fundraising technology, found that only 18% of nonprofits reported having enough data and insights for cost-effective decision-making in 2022! So fundraisers should prioritize clean data—de-duped, complete, consistent, deliverable and actionable—for cost-effective targeting. 

Fundraisers also can take better advantage of the fact that today's donors are multichannel responders by coordinating direct mail with boosted social media outreach as well as online and mobile giving. In-person fundraising events are expected to make a comeback in 2023, too. OneCause reports 83% of organizations plan to hold at least one in-person event in 2023. Data supports that investment in event and online efforts: Over half of nonprofits surveyed reported generating 21% of operating budget from event and online fundraising in 2022. 

For help with donor acquisition, multichannel fundraising and data management, see https://www.acculist.com/fundraising/

For 2020: Clean, Personalized, Predictive Data

As 2019 closes, marketers have a year's worth of multichannel customer, campaign and sales information to analyze for 2020 plans. So what are the big data trends that will maximize ROI? Clean, up-to-date, quality data is still the basis for effective marketing. So start by monitoring data for issues such as duplicates, missing information or bad records to figure out how and where they are occurring. Then standardize processes at each data entry point. Next validate the accuracy of data via data tools or expert data services. Identify and scrub duplicates. Once data is standardized, validated and de-duped, improve its analytic value with third-party data appending. Establish a feedback process to spot and update/purge incorrect information, and communicate standards and processes so all teams understand the value of clean data in segmentation targeting, lead response, customer service, etc. Meanwhile, the 2019 Martech Conference highlighted other trends, such as the role of data in personalization. Expect to see increased use of Artificial Intelligence (AI) and machine learning (ML) for personalization. For example, for more personalized acquisition, ML can recognize if people from certain areas are more likely to respond to a specific offer or which past high-response special offers may resonate in future. When personalization is combined with elimination of data silos and creation of a single customer view across channels, marketing becomes especially powerful. Indeed, data integration and elimination of data silos are key to the growing "agile marketing" trend, which breaks down team silos to focus on high-value projects collectively. Marketers should also boost use of predictive modeling. Why? A study by ClickZ and analytics platform provider Keen found that 58% of marketers using predictive modeling experienced a 10%-25% ROI lift, while another 19% saw more than a 50% uplift. While retroactive campaign data can be very useful, it’s not as good at informing future multichannel directions. Standard data analysis often mistakenly gives most credit to last-click channels such as search or transactional activities. The Keen/ClickZ survey found marketers using predictive modeling boosted results in multiple areas, including better understanding of the target audience (71%), optimizing touchpoints on the customer journey (53%), and improving creative performance (44%). For more detail, see https://www.acculist.com/prep-for-2020-marketing-with-clean-personalized-predictive-data/

B2B Marketing ROI Depends on Clean Data

As business-to-business marketers craft their fiscal 2020 budgets, it’s important that complex issues such as analytics, automation or AI do not distract from a core investment for achieving ROI: clean data. When 94% of B2B companies suspect inaccuracy in their databases, any marketers who do not prioritize data hygiene have their heads in the marketing sands. A recent blog post by b2b data management firm Synthio confirms the basic steps for data hygiene. It starts with a data plan. A good data plan will decide on the data-quality key performance indicators (KPIs) needed to achieve business goals. The plan will survey existing contact and account data and determine how to measure health in terms of data accuracy and completeness and how to maintain data hygiene tracking on an ongoing basis. It will look to see if there are important parameters for KPI success that the existing data does not address. Then, before cleaning data even begins, marketers need to check that important contact data at the point of entry or download is standardized. This will make it easier to catch errors and duplicates and to merge data from multiple sources. There should be a standard operating procedure (SOP) that defines fields, formats, and entry or upload processes to ensure that only quality, standardized data is used. The next step is to validate the accuracy of the data. Although a manual process might work for a small database, and there are tools and imported lists for cleaning data, advanced data hygiene is probably best handled by experts like AccuList, which can match contact addresses against USPS verification standards and change of address databases as well as update e-mail address changes. With standardized, validated information, data sets can be seamlessly merged and purged of duplicates. Why worry about duplicates? Duplicate records hobble CRM efforts, waste dollars in marketing campaigns, undermine the Single Customer View essential for targeting and response tracking, damage customer relations and brand reputation, and result in inaccurate reporting that can mislead marketing strategy. The final database improvement step involves data appending. Most b2b house databases have data for each record, such as contact first and last name, e-mail, company name and business address. But complete data for all records may be spotty, and some desired data may be missing altogether, such as title, phone number, company annual revenue, tech stack, purchase history, etc. Wouldn’t it be great for targeting and response to fill in the blanks? Data appending can enhance a house file with hundreds of variables from outside lists, including business “firm-ographics” on revenue, industry, employee numbers, opt-in e-mail and telephone numbers. For more, see our website blog post at https://www.acculist.com/make-clean-data-a-top-priority-for-effective-b2b-marketing/