Houston expert breaks down how B2B companies should leverage data for growth

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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.

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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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5 Houston deep tech startups pushing the boundaries of their industries

meet the finalists

Houston has long been at the forefront of innovation, from NASA’s Johnson Space Center to its startup ecosystem using technology to disrupt industries.

As part of the 2026 Houston Innovation Awards, our Deep Tech Business category will honor an innovative startup providing technology solutions based on substantial scientific or engineering challenges, including those in the AI, robotics and space sectors.

Five deep tech companies have been named finalists for the 2026 award.

Read more about these businesses, their founders and their breakthrough technologies below. The 2026 winners will be announced on InnovationMap.com in mid-November.

Casimir

Battery tech startup Casimir develops semiconductor chips that produce continuous electrical power straight from the quantum vacuum, without the need for a battery, cord or external charge source. The company is targeting commercialization for its first-generation MicroSparc chip by 2028.

Harold “Sonny” White founded Casimir in 2023 after nearly two decades at NASA. The company emerged from stealth with a $12 million seed round in 2026. It was also awarded an STTR Phase I contract from the U.S. Space Force's SpaceWERX to support the development of the company's solid-state generator for potential use by the Department of the Air Force earlier this year.

FocisAI

Artificial intelligence startup FocisAI helps refinery owner-operators unlock actionable insights from 3D scans and images.

FocisAI was founded by CEO Tyler Wooten, COO Colin Snell and CTO Kyle Snell in 2026. It is a member of Greentown Labs and launched a seed round in September, which is expected to close by the end of the year, according to the company's application. It has rolled out 10 pilot programs and is looking to move into recurring, facility-scale deployments and scale its team in Houston this year.

Machine Saver Inc.

Industrial tech startup Machine Saver Inc. builds wireless and wired vibration and proximity sensors to tell heavy industry when a machine is about to fail. The company's technology runs on an 8-plus-year battery life and helps operators reduce downtime, improve maintenance and extend equipment life.

Machine Saver was founded by CEO Colton Bach and Quentin Bach in 2013. Its customers and partners include Houston Methodist, Blue Bell, Genemco, as well as energy and heavy industry, food and beverage, and cold chain companies, according to its application. The company is raising a Series A.

Square Robot

Energytech startup Square Robot develops and operates submersible inspection robotics that inspect aboveground storage tanks while they remain in service. The robots reduce downtime and costs, improve worker safety and limit hydrocarbon emissions.

Square Robot launched its Houston office in 2019 and closed a Series B in 2025. It plans to complete its first U.S. Navy demonstrator tank in November and is also developing real-time inspection software.

Venus Aerospace

Spacetech company Venus Aerospace is developing a high-thrust rotating detonation rocket engine (RDRE) that replaces the subsonic combustion used in conventional rocket engines. The RDRE is a compact, simpler engine that can deliver up to 15 percent greater efficiency for defense and space applications. It completed its first U.S. flight test of the engine last summer.

Venus Aerospace was founded in 2020 by CEO Cassie Duggleby and CTO Andrew Duggleby. It raised a $20 million Series A in 2022 and $42 million Series A2 in 2025. It closed a $91 million Series B earlier this year and expanded its leadership team. The company is working toward longer-duration and higher-thrust testing and advancing its flight program.

Houston leads U.S. with the biggest surge in millionaire renters

Rent Report

The number of millionaire renters and homeowners in the U.S. has surged over the last five years, and Houston has soared ahead of the rest with the largest growth rate among these affluent renter households.

Houston leads the nation with the No. 1 increase in millionaire renters from 2020 to 2024, a new RentCafe study found. The number of these wealthy households increased from 18 to 232 over the last five years, representing a 1,189 percent growth rate.

"The pandemic accelerated the shift as remote work pushed the wealthy to relocate to lower-tax metros like Houston, where millionaire renters grew 13-fold, versus 3.9-fold for owners," the report said. "Granted, 232 households is still a tiny fraction of the Houston metro’s roughly 2.7 million households, but the growth rate far outpaces any other major metro."

Nationwide, the number of millionaire renter households grew 229 percent from 2020 to 2024, outpacing the 193 percent growth rate among millionaire homeowners.

Dallas was the only other Texas metro to crack the top 10. The number of millionaire renter households in North Texas has more than quintupled, from just 30 in 2020 to 165 in 2024. That represents a growth rate of 450 percent, which — surprisingly — is only the eighth highest nationwide.

But when it comes to the largest populations of millionaire renters, New York City and San Francisco still lead the way. New York claimed the No. 1 spot with nearly 7,300 millionaire renters living in the city in 2024. Houston ranked 12th on that list.

Elsewhere in Texas, Austin and Dallas ranked as the 16th and 17th, respectively, for the largest population of millionaire renters. There were 206 millionaire renters living in Austin in 2024, and 165 in Dallas.

This is who the typical millionaire renter is
The report also revealed a surprising statistic about the typical millionaire renter in the U.S. — a lot of them are millennials working in "white-collar, high-earning fields."

"Nearly half (49 percent) of millionaire renters are Millennials, and the number of affluent Millennial renter households surged 392 percent during the five-year period," the report said. "Gen X follows with 33 percent of millionaire Gen X households renting after increasing by 147 percent."

The report continued, "Although Gen Z still represents a small share of millionaire renters (just 2 percent of the total), no generation has expanded faster: Gen Z millionaire renter households leaped from fewer than a dozen to more than 400 — a tiny cohort today, but one that was virtually nonexistent five years ago."

The top three most common professions for millionaire renters are chief executives, software developers, and managers, the report additionally found. In Houston, the surge of wealthy newcomers are mostly executives, professional athletes, and entertainers.

"These roles tend to generate steady, substantial income without necessarily tying workers to one location, making renting a practical fit, rather than a financial necessity," the report said.

Hotspots for millionaire homeowners
In RentCafe's separate list comparing the top 10 most popular U.S. metros for millionaire homeowners, Houston ranked 12th nationally with 4,374 millioniare homeowners living in the metro as of 2024. These wealthy Houstonians are most likely working as chief executives, physicians, managers, and lawyers and judges.

Houston has already proven to be a hotspot for millennial homebuyers, and the latest RentCafe data says millennials make up 19 percent of all millionaire homeowners in the U.S. Gen Xers and Baby Boomers still maintain the largest shares of millionaire homeowners nationwide, at 45 and 33 percent, respectively.

Dallas (No. 10) and Austin (No. 20) also appeared among the hottest metros for millionaire homeowners.

Only one Texas city appeared among RentCafe's list of the 20 fastest-growing metros for millionaire homeowners: College Station ranked 13th nationwide with a growth rate of 1,329 percent. From 2020-2024, the number of millionaire homeowners residing in College Station grew from 14 to 200.

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This article originally appeared on CultureMap.com.

Houston ranks high on best cities for small-business expansion report

business growth

For small businesses looking to expand, Houston might be the right place.

Among 56 major U.S. metros, Houston grabbed the No. 6 spot on a new list of the metros boasting the strongest environments for small-business expansion.

A 2025 report from the state comptroller’s office showed roughly 970,000 small businesses operate in the 13-county Gulf Coast region. The region includes the majority of the Houston metro area.

“Whether it’s a family-owned shop on Main Street or a fast-growing startup, small businesses power our state’s economic engine, create opportunity, and strengthen the character of every Texas community,” Kelly Hancock, who was interim state comptroller when the report was released, said in a press release.

Business lending platform Clarify Capital analyzed five factors to develop the list: job growth, business entry and exit, net job creation, and unemployment.

Overall, the Nashville area claimed the No. 1 spot on the list. Other major Texas metros also cracked the top 10, including Austin at No. 3 and Dallas-Fort Worth at No. 7.

“The highest-ranking metros combine labor-market momentum with steady business formation and relatively favorable local employment conditions,” Clarity Capital says.

The Houston metro ranked sixth for job growth, 11th for business entry rate, 38th for business exit rate, second for net job creation rate, and 50th for unemployment rate.

“For business owners, the ranking is a starting point rather than a guarantee,” Clarify Capital says. “Local demand, competition, operating costs, and access to capital still shape whether an expansion works.”

“Building enough cash-flow room for hiring, equipment, and unexpected expenses can help small and midsize business owners take advantage of a strong market without stretching the business too thin,” the company adds.

Of course, money fuels small-business expansion in the Houston area or anywhere else.

According to an analysis of SBA loan data by feasibility consulting firm MMCG, the Houston metro area saw 1,685 approvals for 7(a) loans and 101 approvals of 504 loans in the federal government’s 2025 budget year. The approval numbers for both loan categories increased from the previous year.

Altogether, the 7(a) and 505 loans exceeded $1 billion.

The data from the U.S. Small Business Administration suggests small-business expansion may be on the rise in the Houston area.

Further potential evidence of small-business expansion in the Houston area: The region experienced a 92 percent rise in account applications from 2024 to 2025 submitted to Bluevine, a small-business banking platform. The Houston metro ranked fifth for the number of Bluevine small-business applications in 2025.

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