• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

How to Boost Your Direct Mail Marketing with Big Data

Christina Sanders / 3 min read.
December 20, 2018
Datafloq AI Score
×

Datafloq AI Score: 82.33

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/pJQlZ

Data-driven marketing has proven itself as a sure-fire way to boost sales and positive brand awareness, supplementing (but not replacing) traditional marketing approaches. For direct mail campaigns, big data analysis can ease the pain of targeting the wrong audience.

Statistics from the DMA show that direct mail marketing is not dead or old-fashioned. Trends from the 2018 DMA statistical fact book indicate that 42% of people read catalogs received in the mail. According to the DMA, in 2016, Customer response rates increased year-over-year by an impressive 43%, but prospect response rates more than doubled ”reporting an astounding 190% increase. One of the reasons for this has been the power of using online browsing behavior to prompt personalized mail.

It’s not that people don’t like direct mail advertising; it’s just that they don’t want their mailbox to be stuffed with reams of paper for products and services they don’t need or want. And they certainly don’t want to have to recycle three copies of the same catalog.

Social media marketing can be bane or boon to brands. It can promote positive customer engagement and create a loyal following. In this way, social media is used by companies to create consumer brand portals, where consumers can like, follow or share with their friends.

Unfortunately, it can also alienate consumers already bombarded with irrelevant and unwelcome sales promotions. Consumers often use social media to vent their irritation and bad experiences. For instance, wasting paper may have the green police knocking on your door. Soon, the three copies of your direct mail ad ”unfavorably rewritten ”are scanned and uploaded to YouTube and you start trending … but not in a good way.

Big data analysis helps organizations to predict response rates before launching a campaign, identify the most amenable target market, and save money by stripping unsuitable mail recipients from the list. Data analytics can also use an organization’s sales history to discover buying trends and spending capacity, and identify historical responses to new products.


Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

Consent

Most importantly, data analysis can help to personalize communication with customers, probably one of the most powerful incentives for consumers to maintain brand loyalty in the digital age. Older consumers, for instance, lament the days of mail addressed directly to them and not the home owner, and speaking to humans rather than pressing buttons or filling in online forms to make purchases or lodge complaints.

Big data enables consumer-focused marketing. It can predict trends by gathering tidbits of information about consumers on social media and using machine-learning software to paint a picture of the consumer’s future. Big data analysis uses seemingly innocuous information about people to build an accurate word-image of the consumer most likely to respond to a particular product or service.

For instance, Consumer X has just gotten married, so the products and services that interest them are likely going to change. This is called propensity modeling, a powerful predictive tool used not only to identify the people most likely to respond to a campaign, but to focus on retention activity for consumers who are showing signs of dissatisfaction or life changes.

Big data also allows for location analytics. Imagine creating thousands of flyers to be distributed for a luxury travel campaign in a particular area only to find out (too late) that the local population is income-strapped.

According to InfoTrends, a third of Americans surveyed were more likely to read direct mail than email. The organization found that direct mail is the cornerstone of a multi-touch campaign. So, how do companies cover their bases?

The solution for a multi-channel strategy is an intelligent, easy-to-use brand portal that combines traditional tactics like direct mail within a smart digital strategy. A brand portal provides a centralized zone ”call it a marketing HQ ”that stores and protects brand assets, and gives an organization the ability to manage marketing campaigns from a central location. It also ensures that everyone working on a campaign is kept in the loop.

Categories: Big Data
Tags: Big Data, consumers, data-driven marketing, Email

About Christina Sanders

Christina Sanders is a marketing expert with 7 years combined experience in digital marketing and communications. She is currently associate manager for Lucidpress a design and brand management platform. She has spoken on marketing analytics at multiple conferences including the eMetrics Summit in Milan, Italy and the SMX conference in London.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post

Related Articles

12 Data Quality Metrics That ACTUALLY Matter

March 30, 2023 By Barr Moses

5 Best Data Engineering Projects & Ideas for Beginners

March 29, 2023 By emily.joe685

Data Centre World Asia

March 29, 2023 By r.chan

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics app application applications Artificial Intelligence BI Big Data blockchain business China Cloud Companies company costs crypto Data design development digital environment experience future Google+ government Group health information machine learning market mobile news public research security services share skills social social media software strategy technology

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • IBM DevOps and Software Engineering
  • Giving Feedback
  • Professional Selling: Step 1 – Think Like a High-Performer
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • 12 Data Quality Metrics That ACTUALLY Matter
  • How to Build Microservices with Node.js
  • How to Validate OpenAI GPT Model Performance with Text Summarization (Part 1)
  • What is Enterprise Application Integration (EAI), and How Should Your Company Approach It?
  • 5 Best Data Engineering Projects & Ideas for Beginners

Search

Tags

AI Amazon analysis analytics app application applications Artificial Intelligence BI Big Data blockchain business China Cloud Companies company costs crypto Data design development digital environment experience future Google+ government Group health information machine learning market mobile news public research security services share skills social social media software strategy technology

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

settings

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!