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Pharma commercial vendor selection still runs on word of mouth. A Harvard MBA student aims to change that with Rx Almanac.

By Brian Buntz | September 10, 2026

An image from the RxAlmanac homepage

For pharma companies preparing to launch a drug or expand commercial operations, choosing vendors for distribution, pricing, and customer relationship management is a world away from comparing common business software. Buyers of mainstream business software can consult reviews on the software comparison sites G2 and Gartner Peer Insights, along with analyst evaluations such as the Gartner Magic Quadrant and Forrester’s Wave reports. In pharma commercial services, by contrast, vendor decisions still rely heavily on word of mouth, according to Hoyt Gong, an MBA candidate at Harvard Business School. To help bridge the gap, Gong has created Rx Almanac, an editorial site and directory designed to help pharma teams understand and compare commercial service providers on neutral terms. “There was no Yellow Pages for this industry today,” Gong said. “I’ve gotten backing from Harvard and Google to start [Rx Almanac] and bring it to light.”

The idea came from vendor selection Gong did in a prior role as a senior product manager at an insulin pump maker as the business scaled. That included “picking our CRM vendor, thinking through our distribution strategy, choosing our pharmaceutical distribution vendors, our pricing vendors, our PBM strategy,” he said. The core focus of Rx Almanac is post-R&D and post-clinical-trial. In other words, the commercial stage.

Gong describes Rx Almanac as covering “all things pharma services.” “After a pharma company has done the R&D and clinical development, that last commercial stage is an area I saw as having very little content, so I’ve been building out publications and niches there,” he said.

For instance, Rx Almanac has a buyer matrix comparing Veeva Vault CRM and Salesforce Life Sciences Cloud, the two main commercial CRM platforms used in pharma. It scores them on migration, validation, data, commercial workflows, implementation partners, risk and total cost.

Hoyt Gong

Hoyt Gong

The overarching goal is to assess what the vendors are “actually capable of versus what they say they can do,” Gong said. “That’s what I’m trying to get at with Rx Almanac.”

AI agents have become a growing part of that marketing message. “One of my pet peeves is when someone talks about AI but isn’t crisp about what the agents are actually doing and how they add value,” Gong said.

Gong said the most consequential pattern to emerge from the comparisons so far is consolidation. “A lot of these companies [in the pharma commercial services market] are buying each other out, and that gobbling up is how they’re growing,” he said. “That leads to concerns from pharma: Are these services really the most capable? Are they just piecemealed together?” Much of that dealmaking, he added, traces back to private equity firms such as Carlyle, KKR and Summit Partners.

For launch teams, those acquisitions raise a practical question: How well do the combined services work together to get a drug to patients? “After you’ve done all the hard work of R&D and clinical development, how do you make it a great patient experience? How do you get it into patients’ hands? How do you make sure it’s covered appropriately and affordable?” he said. “That’s really what I’m trying to cover.”


Filed Under: Commercialization
Tagged With: AI agents, artificial intelligence, Carlyle, commercial services, Harvard Business School, Hoyt Gong, KKR, M&A, pharma commercialization, pharma CRM, pharma tech, pharmaceutical distribution, private equity, Rx Almanac, Salesforce Life Sciences Cloud, Summit Partners, Veeva Vault CRM, vendor selection
 

About The Author

Brian Buntz

As the pharma and biotech editor at WTWH Media, Brian has almost two decades of experience in B2B media, with a focus on healthcare and technology. While he has long maintained a keen interest in AI, more recently Brian has made making data analysis a central focus, and is exploring tools ranging from NLP and clustering to predictive analytics.

Throughout his 18-year tenure, Brian has covered an array of life science topics, including clinical trials, medical devices, and drug discovery and development. Prior to WTWH, he held the title of content director at Informa, where he focused on topics such as connected devices, cybersecurity, AI and Industry 4.0. A dedicated decade at UBM saw Brian providing in-depth coverage of the medical device sector. Engage with Brian on LinkedIn or drop him an email at [email protected].

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