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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Intuitive Machines lands $600M satellite deal, NASA ‘spacecraft bus’ contract

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Houston-based space infrastructure company Intuitive Machines has scored two astronomical deals.

The deals add to the company’s soaring success. As of June 30, Intuitive Machines had a record-high $1.8 billion backlog of orders, a $1.5 billion increase from the end of last year. The current backlog includes orders for more than 80 spacecraft.

The company, which went public in 2023, expects this year’s revenue to total $900 million to $1 billion. In the first half of 2026, Intuitive Machines generated nearly $393 million in revenue.

Intuitive Machines estimates its total available market is valued at more than $150 billion.

$600 million-plus deal represents ‘important milestone’

On Monday, Intuitive Machines said it picked up a $600 million-plus deal to develop three commercial satellites for an undisclosed customer over the course of about two years.

Intuitive Machines says it will design, manufacture, set up and support several spacecraft “for a critical communications infrastructure mission.”

Steve Altemus, the company’s CEO, says the deal represents “an important milestone for Intuitive Machines and reflects the confidence our customers place in our ability to deliver high-performance spacecraft for a broad range of mission needs.”

Company nails down NASA deal for ‘spacecraft bus’

A day after announcing the $600 million-plus deal, Intuitive Machines said it secured a new contract with NASA.

Intuitive Machines says NASA’s Jet Propulsion Laboratory in Southern California will use the company’s IM 300 “spacecraft bus” for an EAGLE-VSWIR Earth observation mission. The mission is scheduled to launch in 2028.

Aside from supplying the IM 300 bus, Intuitive Machines will carry out mission support services.

The low-Earth-orbit mission will be equipped with Intuitive Machines’ hyperspectral visible to shortwave infrared (VSWIR) instrument. This technology sees colors and details that aren’t visible to the human eye.

The instrument is “designed to perform surface biology and geology observations from Earth orbit while demonstrating technologies that could support future lunar and Mars exploration missions,” Intuitive Machines says.

Intuitive Machines builds mission-critical spacecraft, systems, and infrastructure for business and government customers. To date, the company has produced more than 300 spacecraft, delivered over 575 pounds of payload to the moon and launched about 100 satellites.

9 Houston-based companies make Fortune Global 500 list in 2026

Worldwide Rankings

Nine Houston companies landed on the 2026 Fortune Global 500 list, which ranks the world's largest corporations by revenue for the 2025 fiscal year.

Houston's showing on the list was led by energy companies, with Spring’s ExxonMobil claiming the top local spot. Here’s what Houston-area companies made the list, and where they ranked:

  • No. 15 ExxonMobil
  • No. 36 Chevron
  • No. 61 Phillip 66
  • No. 159 Sysco
  • No. 243 ConocoPhillips
  • No. 292 Enterprise Products Partners
  • No. 343 Plains GP Holdings
  • No. 460 SLB
  • No. 481 Hewlett Packard Enterprise

After 12 years as No.1, Arkansas-based Walmart was replaced this year by Seattle-based Amazon in the top spot for 2026. Amazon achieved this by bringing in $700 billion in revenue in 2025, representing a 12 percent increase from the previous year.

"Across global business, we see again and again that the leaders who are winning are those who embrace change,” Alyson Shontell, Fortune's editor in chief and chief content officer, said in a news release. "Amazon has topped the Fortune Global 500, knocking Walmart off its pedestal. The company has continually reinvented itself across new businesses and bold bets—including a $200 billion capital commitment, largely to building its capacity for AI and cloud computing, in this year alone."

The U.S. has 141 companies on the 2026 Fortune Global 500 list, which is the most of any country. Companies in America generated $15.5 trillion in aggregate revenues, a 6 percent increase from the previous year.

The number of women CEOs at Fortune Global 500 companies reached a record of 34 top leaders, who represented 6.8 percent of CEOs of companies on the list.

Technology was the standout growth industry on this year’s list, with 38 companies earning revenues that grew 20 percent to about $4 trillion in 2025, with profits climbing 36 percent to $835 billion. The financial sector accounted for the largest share of companies on the list again, with 123 companies in that sector. The energy sector claimed the No. 2 industry spot with 77 companies making the list.

In June, the Fortune 500 list was released, and Texas led the United States with 57 Fortune 500 companies headquartered in the state, generating $2.8 trillion in combined revenue.

Fast-growing Houston real estate startup surges to No. 7 on Inc. 5000

growth report

Houston-based Epique Realty has ridden the AI wave to rank among the Inc. 5000’s 10 fastest-growing private companies.

With three-year revenue growth of 23,210 percent, the AI-powered real estate brokerage appears at No. 7 on this year’s Inc. 5000 list. The 2026 list ranks private companies based on percentage revenue growth from 2022 to 2025.

Epique, founded in 2021, also ranks as the No. 1 fastest-growing company in Houston, No. 1 fastest-growing real estate company in the U.S., and No. 2 fastest-growing company in Texas.

Epique’s annual revenue surpasses $91 million

Between 2022 and 2025, the company’s annual revenue skyrocketed from $391,654 to more than $91.2 million. In 2025, the brokerage closed more than 23,000 deals and surpassed $7 billion in total sales, elevating Epique to the country’s 14th-largest real estate brokerage as measured by volume.

Epique’s network has more than 4,000 agents.

“To debut in the top 10 of the Inc. 5000 is absolute proof that when you relentlessly put agents first, exponential growth takes care of itself,” co-founder and CEO Joshua Miller said in a news release.

“We didn’t achieve this by following the industry playbook; we achieved this by burning it,” Miller added. “By fully funding our agents’ success through free health care, proprietary AI, and world-class leads, we’ve built a company where agents can finally thrive.”

The company’s other co-founders are Chris Miller, chief operating officer and vice president of expansion, and Janice Delci, chief financial officer.

Epique expands business to Canada, Mexico, Australia

The Millers and Delci have guided the company’s rapid expansion.

“Scaling our corporate support team to match [our] hyper-growth while seamlessly expanding across all 50 states and internationally to Canada, Australia, and Mexico takes an incomparable operational infrastructure,” Miller said.

“We have built an enterprise-grade technology ecosystem that allows us to absorb overhead and empower our agents at lightning speed,” he added. “This ranking validates that our disruptive model is working, and it is completely redefining the global industry standard.”

Epique launched its platform in 2023, touting itself as the industry’s first AI-powered brokerage. The startup’s platform provides AI tools for real estate agents to improve their marketing, streamline content creation, and boost engagement with clients and prospects.

Among Epique’s AI tools are:

  • ChatGPT for generation of property descriptions
  • AI-assisted creation of blog posts and agents’ bios
  • Production of Instagram quotes for social media marketing

“When we started Epique, we wanted to build a company that genuinely cared for its agents’ financial and physical well-being,” Delci says. “To see that vision translate into this level of historic record-breaking growth is a beautiful testament to the true power of radical generosity.”

Epique and fellow honorees will be recognized Oct. 14-16 at the 2026 Inc. 5000 Conference & Gala in Dallas.

Six other Houston-area companies land in top 250

Here are the six other Houston-area companies that claimed spots in the top 250 on the Inc. 5000 list. Each company name is followed by its ranking, headquarters city, and three-year growth rate.

  • No. 27 Empact Technologies, 8,275 percent
  • No. 60 Action1, 4,512 percent
  • No 75 Signs By G, 3,684 percent
  • No. 79 The ’Pause Life, 3,469 percent (Galveston)
  • No. 110 Turtlebox Audio, 2,576 percent
  • No. 178 Dahnani Private Equity Group, 1,904 percent (Stafford)

How did companies in Texas’ other major metros fare?

Here’s a breakdown of companies in the Austin, Dallas-Fort Worth, and San Antonio areas that made the top 250 on the Inc. 5000. Again, each company name is followed by its ranking, headquarters city, and three-year growth rate.

Austin (10 companies)

  • No. 9 Investment Watches, 15,741 percent
  • No. 72 Razor Metrics, 3,856 percent
  • No. 91 Autonomize AI, 2,921 percent
  • No. 102 Choose Your Horizon, 2,719 percent
  • No. 132 Wander Staffing, 2,296 percent
  • No. 144 Everyday Dose, 2,179 percent
  • No. 148 NetRise, 2,118 percent
  • No. 163 Nutrabound Labs, 1,999 percent (Bastrop)
  • No. 179 Steadily, 1,890 percent
  • No. 208 Tiny Health, 1,624 percent

Dallas-Fort Worth (11 companies)

  • No. 3 Yantran, 258,740 percent (Allen)
  • No. 12 Paek Management Group, 12,520 percent (Irving)
  • No. 82 Elite Robotics and Automation, 3,334 percent (Fort Worth)
  • No. 133 Outamation, 2,291 percent (Southlake)
  • No. 147 Red Creek Solutions, 2,119 percent (Frisco)
  • No. 155 JobTread Software, 2,071 percent (Dallas)
  • No. 164 DAX Eyewear, 1,977 percent (Nevada)
  • No. 186 Optimized Waste Removal, 1,830 percent (Fort Worth)
  • No. 204 Freight Flex, 1,642 percent (Denton)
  • No. 212 Maverick Power, 1,591 percent (McKinney)
  • No. 229 Innovative Life Sciences, 1,494 percent (McKinney)

San Antonio (one company)

  • No. 118 Hire With Near, 2,421 percent
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