How you can use your data to improve your marketing efforts. Photo via Getty Images

When focusing on revenue growth in business to business companies, analyzing data to develop and optimize strategies is one of the biggest factors in sales and marketing success. However, the process of evaluating B2B data differs significantly from that of B2C, or business to consumer. B2C analysis is often straightforward, focusing on consumer behavior and e-commerce transactions.

Unlike B2C, where customers can make a quick purchase decision with a simple click, the B2B customer journey involves multiple touchpoints and extensive research. B2B buyers will most likely discover a company through an ad or a referral, then navigate through websites, interact with salespeople, and explore different resources before finally making a purchasing decision, often with a committee giving input.

Because a B2B customer journey through the sales pipeline is more indirect, these businesses need to take a more nuanced approach to acquiring and making sense of data.

The expectations of B2B vs. B2C

It can be tempting to use the same methods of analysis between B2C and B2B data. However, B2B decision-making requires more consideration. Decisions involving enterprise software or other significant business products or services investments are very different from a typical consumer purchase.

B2C marketing emphasizes metrics like conversion rates, click-through rates, and immediate sales. In contrast, B2B marketing success also includes metrics like lead quality, customer lifetime value, and ROI. Understanding the differences helps prevent unrealistic expectations and misinterpretations of data.

Data differences with B2B

While B2C data analysis often revolves around website analytics and foot traffic in brick and mortar stores, B2B data analysis involves multiple sources. Referrals play a vital role in B2B, as buyers often seek recommendations from industry peers or companies similar to theirs.

Data segmentation in B2B focuses more on job title and job function rather than demographic data. Targeting different audiences within the same company based on their roles — and highlighting specific aspects of products or services that resonate with those different decision-makers — can significantly impact a purchase decision.

The B2B sales cycle is longer because purchases typically involve the input of a salesperson to help buyers with education and comparison. This allows for teams to implement account-based marketing and provides for more engagement which increases the chances of moving prospects down the sales funnel.

Enhancing data capture in B2B analysis

Many middle-market companies rely heavily on individual knowledge and experience rather than formal data management systems. As the sales and marketing landscape has evolved to be more digital, so must business. Sales professionals can leave and a company must retain the knowledge of the buyers and potential buyers. CRM systems not only collect data, they also provide the history of customer relationships.

Businesses need to capture data at all the various touchpoints, including lead generation, prospect qualification, customer interactions, and order fulfillment. Regular analysis will help with accuracy. The key is to derive actionable insights from the data.

B2B data integration challenges

Integrating various data sources in B2B data analysis used to be much more difficult. With the advent of business intelligence software such as Tableau and Power BI, data analysis is much more accessible with a less significant investment. Businesses do need access to resources to effectively use the tools.

CRM and ERP systems store a wealth of data, including contact details, interactions, and purchase history. Marketing automation platforms capture additional information from website forms, social media, and email campaigns. Because of these multiple sources, connecting data points and cleansing the data is a necessary step in the process.

When analyzing B2B data for account based marketing (ABM) purposes, there are some unique considerations to keep in mind. Industries like healthcare and financial services, for instance, have specific regulations that dictate how a business can use customer data.

Leveraging B2B data analysis for growth

B2B data analysis is the foundation for any sales and marketing strategy. Collecting and using data from multiple sources allows revenue teams to uncover gaps, trends, and opportunities for continued growth.

Acknowledging what’s different about B2B data and tracking all of the customer journey touchpoints is important as a business identifies a target market, develops an ideal customer profile, and monitors their competitors. Insights from data also single out gaps in the sales pipeline, use predictive analytics for demand forecasting, and optimize pricing strategies.

This comprehensive approach gives B2B companies the tools they need to make informed decisions, accelerate their sales and marketing efforts, and achieve long-term growth in a competitive market.

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Libby Covington is a Partner with Craig Group, a technology-enabled sales and marketing advisory firm specializing in revenue growth for middle-market, private-equity-backed portfolio companies.

Every situation is unique and deserves a one-of-the-kind data management plan, not a one-size-fits-all solution. Graphic by Miguel Tovar/University of Houston

Houston research: Why you need a data management plan

Houston voices

Why do you need a data management plan? It mitigates error, increases research integrity and allows your research to be replicated – despite the “replication crisis” that the research enterprise has been wrestling with for some time.

Error

There are many horror stories of researchers losing their data. You can just plain lose your laptop or an external hard drive. Sometimes they are confiscated if you are traveling to another country — and you may not get them back. Some errors are more nuanced. For instance, a COVID-19 repository of contact-traced individuals was missing 16,000 results because Excel can’t exceed 1 million lines per spreadsheet.

Do you think a hard drive is the best repository? Keep in mind that 20 percent of hard drives fail within the first four years. Some researchers merely email their data back and forth and feel like it is “secure” in their inbox.

The human and machine error margins are wide. Continually backing up your results, while good practice, can’t ensure that you won’t lose invaluable research material.

Repositories

According to Reid Boehm, Ph.D., Research Data Management Librarian at the University of Houston Libraries, your best bet is to utilize research data repositories. “The systems and the administrators are focused on file integrity and preservation actions to mitigate loss and they often employ specific metadata fields and documentation with the content,” Boehm says of the repositories. “They usually provide a digital object identifier or other unique ID for a persistent record and access point to these data. It’s just so much less time and worry.”

Integrity

Losing data or being hacked can challenge data integrity. Data breaches do not only compromise research integrity, they can also be extremely expensive! According to Security Intelligence, the global average cost of a data breach in a 2019 study was $3.92 million. That is a 1.5 percent increase from the previous year’s study.

Sample size — how large or small a study was — is another example of how data integrity can affect a study. Retraction Watch removes approximately 1,500 articles annually from prestigious journals for “sloppy science.” One of the main reasons the papers end up being retracted is that the sample size was too small to be a representative group.

Replication

Another metric for measuring data integrity is whether or not the experiment can be replicated. The ability to recreate an experiment is paramount to the scientific enterprise. In a Nature article entitled, 1,500 scientists lift the lid on reproducibility, “73 percent said that they think that at least half of the papers can be trusted, with physicists and chemists generally showing the most confidence.”

However, according to Kelsey Piper at Vox, “an attempt to replicate studies from top journals Nature and Science found that 13 of the 21 results looked at could be reproduced.”

That's so meta

The archivist Jason Scott said, “Metadata is a love note to the future.” Learning how to keep data about data is a critical part of reproducing an experiment.

“While this will be always be determined by a combination of project specifics and disciplinary considerations, descriptive metadata should include as much information about the process as possible,” said Boehm. Details of workflows, any standard operating procedures and parameters of measurement, clear definitions of variables, code and software specifications and versions, and many other signifiers ensure the data will be of use to colleagues in the future.

In other words, making data accessible, useable and reproducible is of the utmost importance. You make reproducing experiments that much easier if you are doing a good job of capturing metadata in a consistent way.

The Big Idea

A data management plan includes storage, curation, archiving and dissemination of research data. Your university’s digital librarian is an invaluable resource. They can answer other tricky questions as well: such as, who does data belong to? And, when a post-doctoral student in your lab leaves the institution, can s/he take their data with them? Every situation is unique and deserves a one-of-the-kind data management plan, not a one-size-fits-all solution.

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

Here's your university research data management checklist. Graphic by Miguel Tovar/University of Houston

Tips for optimizing data management in research, from a UH expert

Houston voices

A data management plan is invaluable to researchers and to their universities. "You should plan at the outset for managing output long-term," said Reid Boehm, research data management librarian at University of Houston Libraries.

At the University of Houston, research data generated while individuals are pursuing research studies as faculty, staff or students of the University of Houston are to be retained by the institution for a period of three years after submission of the final report. That means there is a lot of data to be managed. But researchers are in luck – there are many resources to help navigate these issues.

Take inventory

Is your data

  • Active (constantly changing) or Inactive (static)
  • Open (public) or Proprietary (for monetary gain)
  • Non-identifiable (no human subjects) or Sensitive (containing personal information)
  • Preservable (to save long term) or To discard in 3 years (not for keeping)
  • Shareable (ready for reuse) or Private (not able to be shared)

The more you understand the kind of data you are generating the easier this step, and the next steps, will be.

Check first

When you are ready to write your plan, the first thing to determine is if your funders or the university have data management plan policy and guidelines. For instance, University of Houston does.

It is also important to distinguish between types of planning documents. For example:

A Data Management Plan (DMP) is a comprehensive, formal document that describes how you will handle your data during the course of your research and at the conclusion of your study or project.

While in some instances, funders or institutions may require a more targeted plan such as a Data Sharing Plan (DSP) that describes how you plan to disseminate your data at the conclusion of a research project.

Consistent questions that DMPs ask include:

  • What is generated?
  • How is it securely handled? and
  • How is it maintained and accessed long-term?

However it's worded, data is critical to every scientific study.

Pre-proposal

Pre-proposal planning resources and support at UH Libraries include a consultation with Boehm. "Each situation is unique and in my role I function as an advocate for researchers to talk through the contextual details, in connection with funder and institutional requirements," stated Boehm. "There are a lot of aspects of data management and dissemination that can be made less complex and more functional long term with a bit of focused planning at the beginning."

When you get started writing, visit the Data Management Plan Tool. This platform helps by providing agency-specific templates and guidance, working with your institutional login and allowing you to submit plans for feedback.

Post-project

Post-project resources and support involve the archiving, curation and the sharing of information. The UH Data Repository archives, preserves and helps to disseminate your data. The repository, the data portion of the institutional repository Cougar ROAR, is open access, free to all UH researchers, provides data sets with a digital object identifier and allows up to 10 GB per project. Most most Federal funding agencies already require this type of documentation (NSF, NASA, USGS and EPA. The NIH will require DMPs by 2023.

Start out strong

Remember, although documentation is due at the beginning of a project/grant proposal, sustained adherence to the plan and related policies is a necessity. We may be distanced socially, but our need to come together around research integrity remains constant. Starting early, getting connected to resources, and sharing as you can through avenues like the data repository are ways to strengthen ourselves and our work.

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

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2 Houston professors named as fellows for prestigious group of inventors

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The highest professional distinction awarded to academic inventors, the National Academy of Inventors, have elected two fellows from Rice University and the University of Houston for its 2024 class.

Edward Ratner, computer information systems lecturer in the Department of Information Science Technology at the University of Houston’s Cullen College of Engineering, and Omid Veiseh, bioengineer at Rice University and director of the Biotech Launch Pad, were two of the 170 honorees representing 39 states and 12 countries.

The 2024 class will be honored and presented their medals on June 26 in Atlanta, Georgia by a senior official of the U.S. Patent and Trademark Office.

Ratner’s research includes artificial intelligence, machine learning, image analysis, video compression and video streaming, and has led to 40 patents currently. His inventions on adaptive video streaming assists the technology used today for streaming video over the internet. Ratner becomes the 40th UH faculty who is either a fellow or senior member of the NAI.

“Ed Ratner’s recognition as a Fellow of the NAI is a testament to his exceptional creativity, dedication and impact in advancing innovation,” Ramanan Krishnamoorti, vice president of energy and innovation at UH, says in a news release. “Here at the University of Houston, we take great pride in fostering a culture where visionary thinkers like Ed can thrive. This honor reflects not only his remarkable achievements but also the University’s commitment to shaping the future through groundbreaking research and invention.”

Veiseh is a current professor of bioengineering, a Cancer Prevention and Research Institute of Texas Scholar and faculty director of the Rice Biotech Launch Pad, which is a Houston-based accelerator that focuses on “expediting the translation of the university’s health and medical technology discoveries into cures,” according to a news release from Rice.

His research focuses on developing innovative treatments that involve combining synthetic biology, molecular engineering and advanced materials science. He also helped lead a $45 million project funded by the Advanced Research Projects Agency for Health (ARPA-H) to create implantable cancer monitoring and treatment devices.

“It is our mission to make sure that scientific and technological advancements are translated from laboratory discoveries into life-saving cures and products that have a real and enduring impact on patients’ lives,” said Veiseh in a news release. “I am honored to be recognized by this distinguished award and would like to thank my collaborators at Rice and elsewhere for working toward this shared goal of improving lives through better, more effective treatments.”

In

2023, UH’s Vincent Donnelly, Moores professor of Chemical and Biomolecular Engineering, and Christine Ehlig-Economides, Hugh Roy and Lillie Cranz Cullen Distinguished university chair of Petroleum Engineering, all received the Fellows honor. Other 2024 Texas-based fellows include Malcom Brenner from Baylor College of Medicine, Maria Croyle from The University of Texas at Austin, Jaime Grunlan from Texas A&M University, and more.

2024's 5 most-read startup feature stories

year in review

Editor's note: As the year comes to a close, InnovationMap is looking back at the year's top stories in Houston innovation. This past year, InnovationMap featured profiles on dozens of these Houston startups — from health tech to startups fostering community. Here are five Houston startup features that stood out to readers this year — be sure to click through to read the full story.

Houston immuno-oncology company reaches next FDA milestone, heads to phase 2 trial

A Houston company with a promising immuno-oncology is one step closer to delivering its cancer-fighting drug to patients who need it. Photo via Getty Images

A Houston immuno-oncology company has recently made major headway with the FDA, including both a fast track and an orphan drug designation. It will soon start a phase 2 trial of its promising cancer fighting innovation.

Diakonos Oncology was born in 2016, the brainchild of Baylor researchers already hard at work in the realm of dendritic cell vaccines. Drs. Will Decker, Matt Halpert, and Vanaja Konduri partnered with Dan Faust, a Houston businessman and pharmacist, to bring their treatment to the public, says COO Jay Hartenbach.

The name Diakonos means “deacon or servant in Greek,” he explains. “A lot of companies end up focusing on treating a specific disease or cancer and what you end up having is a significant amount of potential but with a lot of tradeoffs and downsides. And so our goal is we need to eliminate the cancer but we can't harm or dramatically malign the patient in doing so.” Continue reading.

Houston founder taps into AI tech to create game-changing healthy eating platform

A Better Meal — a new app from a Houston founder — gives you all the tools you need to make healthier food choices. Photo via abettermeal.com

After many years of living to eat, a large swath of American society is now facilitating a seismic shift to the healthier alternative, eating to live.

But here’s the rub: eating healthy is confusing, time consuming and, unfortunately, oftentimes pricey.

So, anyone that can come in and cut through the healthy eating machine can carve out a necessary niche in the marketplace.

Enter Houstonian Mark Semmelbeck, founder and CEO of A Better Meal, a platform created to help busy families plan healthy meals easier and to make gradual improvements to their health and well-being.

“My vision is to use rapidly expanding AI technology together with the knowledge and wisdom of an active community to take the stress out of meal planning and improving nutrition,” says Semmelbeck, a seasoned oil and gas executive with over 30 years of experience in founding companies. “While developing the technology for the app, my daughter gave me two beautiful grandkids who both have significant food allergies. Combine that with the fact I now have five cardiac stents and the significance of eating well while paying attention to the details has only grown in importance.” Continue reading.

Hardtech startup moves into Houston area with new Conroe facility, eyes tests in space

FluxWorks, a hardtech startup, opened its new home-base in Conroe, Texas. Photo courtesy FluxWorks

FluxWorks, a hardtech startup, recently opened its new base of operations in Workhub Developments’ Conroe location.

Founded in College Station by CEO Bryton Praslicka, FluxWorks specializes in making contactless magnetic gears for use in extreme conditions. At 9,000 square feet, the new Conroe facility is a result of discussions with Governor Greg Abbott's office and the Greater Houston Partnership, who introduced the company’s leadership to the Conroe Economic Development Council, encouraging their move, Praslicka tells InnovationMap.

“The pieces of the puzzle were all there, and with the support of the local, state, and federal government, we were thrilled to move to Conroe,” Paslicka says. Continue reading.

Houston startup secures IBM partnership for AI-backed consumer tech

IBM and Boxes recently partnered to integrate the IBM watsonx Assistant into Boxes devices, providing a way for consumer packaged brands to find out more than ever about what its customers like and want. Photo courtesy of Boxes

With the help of a new conversational artificial intelligence platform, a Houston startup is ready to let brands get up close and personal with consumers while minimizing waste.

IBM and Boxes recently partnered to integrate the IBM watsonx Assistant into Boxes devices, providing a way for consumer packaged brands to find out more than ever about what its customers like and want.

The Boxes device, about the size of a 40-inch television screen, dispenses products to consumers in a modern and sustainable spin on the old-fashioned large vending machine.

CEO Fernando Machin Gojdycz learned that business from his entrepreneur father, Carlos Daniel Machin, while growing up in Uruguay.

“That’s where my passion comes from — him,” Gojdycz says of his father. In 2016, Gojdycz founded Boxes in Uruguay with some engineer friends. Continue reading.

Houston founder aims to help find your purpose, make strategic connections over a cup of coffee

Cup of Joey has expanded across Houston to help make valuable connections to Houston entrepreneurs. Photo courtesy of Cup of Joey

What is your purpose in life? One Houstonian is asking that question of his fellow entrepreneurs all across town.

Joey Sanchez founded Cup of Joey, a weekly meetup opportunity for innovators, business leaders, and the whole Houston community. The events are a place not only to share a cup of coffee but also their very own mission in life.

It all started in 2021 at the Houston Tech Rodeo, an initiative from Houston Exponential, where Sanchez worked as a director of corporate engagement. Texas had just opened social distancing in public events since the beginning of the COVID-19 pandemic, and Sanchez was finding ways to reconnect the Houston community.

‘We thought what better way than over a cup of coffee?” Since then, Sanchez has connected thousands of people based on purpose every Friday for the past three and a half years. Continue reading.