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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Trailblazing Houston entrepreneur brings big ideas to new Yahoo Finance show

tune in

Elizabeth Gore, co-founder and president of Houston's Hello Alice, debuted the first episode of her new video podcast series with Yahoo Finance on Thursday, April 24.

The weekly series, known as "The Big Idea with Elizabeth Gore," will focus on providing information and resources to small business owners and sharing stories of entrepreneurship, according to a news release from Yahoo Finance.

“Entrepreneurs and small business owners drive our country’s economy forward. With a record number of small businesses launching in our communities, my goal is to help every citizen live the American Dream. On the Big Idea, we will break down barriers for entrepreneurs and lift up opportunities for every person wanting to be their own boss,” Gore said in the release.

“By hosting the 'Big Idea' on Yahoo Finance, I’m looking forward to elevating business owners’ stories and providing actionable insights to small business owners at a scale like never before. I am blown away to be joining the number one finance news source that is already trusted by so many.”

Gore was joined by Hello Alice co-founder and CEO Carolyn Rodz in the premiere episode, titled "Got a big idea for a small business? Here's your first step," to discuss the steps they took when launching the business.

Gore and Rodz founded Hello Alice in 2017. The fintech platform supports over 1.5 million small businesses across the nation. It has helped owners access affordable capital and credit and distributed over $57 million in grants to businesses across various industries. The company raised a series C round backed by Mastercard last year for an undisclosed amount and reported that the funding brought the company's valuation up to $130 million at the time.

According to Yahoo Finance, Gore's experience and expertise build on its "mission to be the trusted guide of financial information to all investors, and democratize access to quality content."

“Over the past year, we invested in expanding our programming lineup with the launch of new shows and podcasts, and welcomed new financial creators and influencers into our newsroom,” Anthony Galloway, head of content at Yahoo Finance, added the release. “By diversifying our programming and talent roster, Yahoo Finance is introducing unique points-of-view that make financial topics more engaging, actionable, and personalized. Small business owners are a vital part of our audience, so we’re excited to welcome Elizabeth Gore from Hello Alice, whose insights and expertise will help us serve and connect with this important cohort in meaningful ways.”

The show is available on Spotify, Apple Podcasts, iHeart, Pandora, and Amazon Music for listening. Streamers can view it on yahoofinance.com, Amazon Prime Video, Samsung TV, Fire TV, Vizio, Haystack, DirectTV and other streaming platforms. Watch the premiere here:

7 top Houston researchers join Rice innovation cohort for 2025

top of class

The Liu Idea Lab for Innovation and Entrepreneurship (Lilie) has announced its 2025 Rice Innovation Fellows cohort, which includes students developing cutting-edge thermal management solutions for artificial intelligence, biomaterial cell therapy for treating lymphedema, and other innovative projects.

The program aims to support Rice Ph.D. students and postdocs in turning their research into real-world solutions and startups.

“Our fourth cohort of fellows spans multiple industries addressing the most pressing challenges of humanity,” Kyle Judah, Lilie’s executive director, said in a news release. “We see seven Innovation Fellows and their professors with the passion and a path to change the world.”

The seven 2025 Innovation Fellows are:

Chen-Yang Lin, Materials Science and Nanoengineering, Ph.D. 2025

Professor Jun Lou’s Laboratory

Lin is a co-founder of HEXAspec, a startup that focuses on creating thermal management solutions for artificial intelligence chips and high-performance semiconductor devices. The startup won the prestigious H. Albert Napier Rice Launch Challenge (NRLC) competition last year and also won this year's Energy Venture Day and Pitch Competition during CERAWeek in the TEX-E student track.

Sarah Jimenez, Bioengineering, Ph.D. 2027

Professor Camila Hochman-Mendez Laboratory

Jimenez is working to make transplantable hearts out of decellularized animal heart scaffolds in the lab and the creating an automated cell delivery system to “re-cellularize” hearts with patient-derived stem cells.

Alexander Lathem, Applied Physics and Chemistry, Ph.D. 2026

Professor James M. Tour Laboratory

Lathem’s research is focused on bringing laser-induced graphene technology from “academia into industry,” according to the university.

Dilrasbonu Vohidova is a Bioengineering, Ph.D. 2027

Professor Omid Veiseh Laboratory

Vohidova’s research focuses on engineering therapeutic cells to secrete immunomodulators, aiming to prevent the onset of autoimmunity in Type 1 diabetes.

Alexandria Carter, Bioengineering, Ph.D. 2027

Professor Michael King Laboratory

Carter is developing a device that offers personalized patient disease diagnostics by using 3D culturing and superhydrophobicity.

Alvaro Moreno Lozano, Bioengineering, Ph.D. 2027

Professor Omid Veiseh Lab

Lozano is using novel biomaterials and cell engineering to develop new technologies for patients with Type 1 Diabetes. The work aims to fabricate a bioartificial pancreas that can control blood glucose levels.

Lucas Eddy, Applied Physics and Chemistry, Ph.D. 2025

Professor James M. Tour Laboratory

Eddy specializes in building and using electrothermal reaction systems for nanomaterial synthesis, waste material upcycling and per- and polyfluoroalkyl substances (PFAS) destruction.

This year, the Liu Lab also introduced its first cohort of five commercialization fellows. See the full list here.

The Rice Innovation Fellows program assists doctoral students and postdoctoral researchers with training and support to turn their ideas into ventures. Alumni have raised over $20 million in funding and grants, according to Lilie. Last year's group included 10 doctoral and postdoctoral students working in fields such as computer science, mechanical engineering and materials science.

“The Innovation Fellows program helps scientist-led startups accelerate growth by leveraging campus resources — from One Small Step grants to the Summer Venture Studio accelerator — before launching into hubs like Greentown Labs, Helix Park and Rice’s new Nexus at The Ion,” Yael Hochberg, head of the Rice Entrepreneurship Initiative and the Ralph S. O’Connor Professor in Entrepreneurship, said in the release. “These ventures are shaping Houston’s next generation of pillar companies, keeping our city, state and country at the forefront of innovation in mission critical industries.”

Houston startup Collide secures $5M to grow energy-focused AI platform

Fresh Funds

Houston-based Collide, a provider of generative artificial intelligence for the energy sector, has raised $5 million in seed funding led by Houston’s Mercury Fund.

Other investors in the seed round include Bryan Sheffield, founder of Austin-based Parsley Energy, which was acquired by Dallas-based Pioneer Natural Resources in 2021; Billy Quinn, founder and managing partner of Dallas-based private equity firm Pearl Energy Investments; and David Albin, co-founder and former managing partner of Dallas-based private equity firm NGP Capital Partners.

“(Collide) co-founders Collin McLelland and Chuck Yates bring a unique understanding of the oil and gas industry,” Blair Garrou, managing partner at Mercury, said in a news release. “Their backgrounds, combined with Collide’s proprietary knowledge base, create a significant and strategic moat for the platform.”

Collide, founded in 2022, says the funding will enable the company to accelerate the development of its GenAI platform. GenAI creates digital content such as images, videos, text, and music.

Originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing,” the company says it will now shift its focus to rolling out its enterprise-level, AI-enabled solution.

Collide explains that its platform gathers and synthesizes data from trusted sources to deliver industry insights for oil and gas professionals. Unlike platforms such as OpenAI, Perplexity, and Microsoft Copilot, Collide’s platform “uniquely accesses a comprehensive, industry-specific knowledge base, including technical papers, internal processes, and a curated Q&A database tailored to energy professionals,” the company said.

Collide says its approximately 6,000 platform users span 122 countries.

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This story originally appeared on our sister site, EnergyCapitalHTX.com.