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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10 promising Houston startups that made headlines in 2025

year in review

Editor's note: As we reflect on 2025, we're looking back at the stories and startups that made waves in Houston's innovation scene. These 10 startups reached memorable milestones, won prestigious awards, found creative solutions, and disrupted their industries.

Persona AI: Houston humanoid robotics startup inks new deal to deploy its rugged robots

A concept design rendering of Persona AI's humanoid robot. The company is expanding at the Ion and plans to deliver prototype humanoids by the end of 2026 for complex shipyard welding tasks. Rendering courtesy Persona AI.

Persona AI is building modularized humanoid robots that aim to deliver continuous, round-the-clock productivity and skilled labor for "dull, dirty, dangerous, and declining" jobs. The company was founded by Houston entrepreneur Nicolaus Radford, who serves as CEO, along with CTO Jerry Pratt and COO Jide Akinyode. It raised $42 million in pre-seed funding this year and is developing its prototype of a robot-welder for Hyundai's shipbuilding division, which it plans to unveil in 2026. The company won in the Deep Tech Business category at this year's Houston Innovation Awards. Continue reading.

Rheom Materials: Houston startup unveils its innovative leather alternative at the rodeo

Rheom Materials presented its bio-based alternative, Shorai, a 93 percent bio-based leather, at the rodeo and plans to scale it up this year. Photos courtesy Rheom Materials

Rheom Materials presented its scalable, bio-based alternative known as Shorai, a 93 percent bio-based leather, through two custom, western-inspired outfits that showed off cowboy flair through a sustainable lens at the Houston Livestock Show and Rodeo earlier this year.

Next up, the company said it aimed to scale production of Shorai, the Japanese word for “future,” at a competitive price point, while also reducing its carbon footprint by 80 percent when compared to synthetic leather. The company also made a large-scale production partnership with a thermoplastic extrusion and lamination company, Bixby International, this year. Continue reading.

Koda Health: Houston digital health platform Koda closes $7 million funding round

Tatiana Fofanova and Dr. Desh Mohan, founders of Koda Health, which recently closed a $7 million series A. Photo courtesy Koda Health.

Houston-based digital advance care planning company Koda Health closed an oversubscribed $7 million series A funding round this year. The round, led by Evidenced, with participation from Mudita Venture Partners, Techstars and Texas Medical Center, will allow the company to scale operations and expand engineering, clinical strategy and customer success. Koda Health, saw major growth this year by integrating its end-of-life care planning platform with Dallas-based Guidehealth in April and with Epic Systems in July. The company won the Health Tech Business category at the 2025 Houston Innovation Awards. Continue reading.

Veloci Running: Student-led startup runs away with prestigious prize at Rice competition

The H. Albert Napier Rice Launch Challenge awarded $100,000 in equity-free funding to student-led startups, including first-place finisher Veloci Running. Photo courtesy of Rice University.

Veloci Running took home the first-place prize and $50,000 at the annual Liu Idea Lab for Innovation and Entrepreneurship's H. Albert Napier Rice Launch Challenge. The company was founded by Tyler Strothman, a former track and field athlete and senior at Rice, majoring in sport management. Inspired by the foot pain he suffered due to the narrow toe boxes in his running shoes, Strothman decided to create a naturally shaped shoe designed to relieve lower leg tightness and absorb impact. Additional prize winners included SteerBio, Kinnections, Labshare and several others. Continue reading.

Square Robot Inc.: Houston robotics co. unveils new robot that can handle extreme temperatures

The new robot eliminates the need for humans to enter dangerous and toxic environments. Photo courtesy of Square Robot

Houston- and Boston-based Square Robot Inc.'s newest tank inspection robot became commercially available and certified to operate at extreme temperatures this fall. The new robot, known as the SR-3HT, can operate from 14°F to 131°F, representing a broader temperature range than previous models in the company's portfolio. According to the company, its previous temperature range reached 32°F to 104°F. The company also announced a partnership with downstream and midstream energy giant Marathon Petroleum Corp. (NYSE: MPC) last month. Continue reading.

Bot Auto: Houston autonomous trucking co. completes first test run without human intervention

Bot Auto completed its first test run without human assistance in Houston. Photo courtesy Bot Auto.

Houston-based Bot Auto, an autonomous trucking company, completed its first test run without human assistance earlier this year. Bot Auto conducted the test in Houston. The transportation-as-a-service startup added that this milestone “serves as a validation benchmark, demonstrating the maturity and safety of Bot Auto’s autonomy stack and test protocols.” This summer, founder Xiaodi Hou told the Front Lines podcast that Bot Auto had raised more than $45 million. Continue reading.

Nomad: Screen-free hiking app developed in Houston earns 'Best of the Best' award

NOMAD aims to help hikers stay in the moment while still utilizing technology. Photo courtesy UH.

An AI-powered, screen-free hiking system developed by Varshini Chouthri, a recent industrial design graduate from the University of Houston, received this year's Red Dot’s “Best of the Best” award, which recognizes the top innovative designs around the world. Known as NOMAD, the system aims to help users stay in the moment while still utilizing technology. Continue reading.

Little Place Labs, Helix Earth, Tempest Droneworx: Houston startups win big at SXSW 2025 pitch competition

Two Houston startups won the SXSW Pitch showcase in their respective categories. Photo via Getty Images

Houston had a strong showing at the SXSW Pitch showcase in Austin this year, with several local startups claiming top prizes in their respective categories.

Little Place Labs, a Houston space data startup, won the Security, GovTech & Space competition. Clean-tech company Helix Earth, which spun out of Rice University and was incubated at Greentown Labs, won in the Smart Cities, Transportation & Sustainability contest. Tempest Droneworx, a Houston-based company that provides real-time intelligence collected through drones, robots and sensors, won the Best Speed Pitch award. Continue reading.

6 Houstonians named to prestigious national group of inventors

top honor

Six Houston scientists and innovation leaders have been named to the National Academy of Inventors’ newest class of fellows. The award is the highest professional distinction awarded to academic inventors by the NAI.

The 2025 class is made up of 169 fellows who hold more than 5,300 U.S. patents, according to the organization. The group hails from 127 institutions across 40 U.S. states.

The Houston-based inventors are leading fields from AI to chemistry to cancer research.

“NAI Fellows are a driving force within the innovation ecosystem, and their contributions across scientific disciplines are shaping the future of our world,” Paul R. Sanberg, president of the National Academy of Inventors, said in a news release. “We are thrilled to welcome this year’s class of Fellows to the Academy. They are truly an impressive cohort, and we look forward to honoring them at our 15th Annual Conference in Los Angeles next year.”

The 2025 list of Houston-based fellows includes:

  • Vineet Gupta, Vice President for Innovation, Technology Development and Transfer at the University of Texas Medical Branch
  • Eva Harth, chemistry professor at the University of Houston
  • Dr. Raghu Kalluri, Professor and Chairman of the Department of Cancer Biology at The University of Texas MD Anderson Cancer Center
  • Sanjoy Paul, Executive Director of Rice Nexus and AI Houston and Associate Vice President for Technology Development at Rice University
  • Dr. Jochen Reiser, President of the University of Texas Medical Branch and CEO of UTMB Health System
  • Todd Rosengart, Professor and Chair of the Department of Surgery at Baylor College of Medicine

"It is a great honor to be named a Fellow of the NAI. It is deeply gratifying to know that the work my students and I do — the daily push, often in small steps — is seen and recognized," Harth added in a news release from UH.

The 2025 fellows will be honored and presented with their medals by a senior official of the United States Patent and Trademark Office at the NAI Annual Conference this summer in Los Angeles.