Odds and Ends
This week’s post provides my perspective on an AI pricing article I found fascinating, expands on a couple points from my recent appearance on SCORRcast , and answers a question regarding last week’s quarterly recap .
Consumption Pricing for AI
CIO’s article “Salesforce mulls consumption pricing for AI agents ” describes Salesforce’s plan to charge for an autonomous AI agent on a consumption basis, and is worth your read.
I'd make a small correction, that Salesforce is not simply “mulling” consumption pricing for AI agent- it’s already communicating it to customers. Below I quote Marc Benioff from last week’s quarterly earnings call:
“when we look at pricing, it will be on a consumption basis. And when we think about that, we think about saying to our customers, and we have, it's about $2 per conversation. So that is kind of how we think about it, that we're going to have a lot of agents out there, even though it's only 1 agent. It's a very high margin opportunity…”
Plus, Salesforce already employs consumption pricing for AI, just look at their rate card for Einstein .
Anways, the relevant points to me are:
Pricing the AI offering on its own and making public the intended pricing shows me Salesforce has no problem being the benchmark against which competitors compare their pricing, and has high confidence in its product’s ability to trump what anyone else has to offer.
Price Synergies
I had a wonderful discussion with Alec and Tessa at SCORR Marketing around a number of pricing topics- definitely check it out. I wanted to expand on one point here: price synergies.
“Synergy” is negatively associated with M&A, since the focus tends to be on cost synergies that results from reducing headcount, culling vendors, closing offices, etc. once two companies combine. The other popular but much more positive type of synergy is revenue or sales synergies, where 1 + 1 > 2 when the combined companies attract more new business opportunities than they did as separate companies.
But don't forget about “price synergies”, where the companies review their separate price structures, combine their pricing intelligence, and use this opportunity to refresh their pricing to reflect the stronger brand presence achieved from the M&A.
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The timing is ideal, not just because two companies are coming together due to a transaction, but also because M&A is a common instance where companies invest more in marketing and improving their brand. Improving your brand and reputation, and creating a combined company that is stronger than the two companies separate, means customer perceptions of your reputation and quality improve and thus they expect you to charge more premium price points.
So while there are numerous levers to generate ROI from M&A (and marketing investments), make sure you’re looking for and implementing price synergies to truly maximize that ROI.
Quarterly Recap Q&A
My quarterly recap on publicly traded companies I follow went out last week, check it out here if you missed it. Below I answer a follow-up question about Walgreens:
What’s the importance of the Walgreens BARDA award?
In the recap I mentioned two ways I find the award to be very important, and after reflection I’m going to add a couple more.
The two noted in the recap:
A couple more:
I specialize in pricing and financial strategies for service and technology providers, and provide external benchmarking services for clinical research providers. Contact me to discuss solutions for your organization.
Head, Commercial Development, Walgreens Clinical Trials
2 个月Joel: Love the "burning the ships behind you" metaphor. There is no other path to contemplate than the mountainous journey of growth and strong business momentum :) What I'm most looking forward to is sharing more results of what community-centered research looks like - in terms of start-up time, enrollment time, participant make-up data, retention rates, and more.
ipse se nihil scire id unum sciat
2 个月Is there more info somewhere about the $100 million BARDA/Walgreens thing? Like what exactly that entails? What are they actually gonna do with that money? $100 million sounds like a "significant commitment" but Walgreens made $130+ BILLION dollars last year.
Consumption pricing has long been the norm for many AI providers, especially when utilizing APIs or any of the cloud service provider offerings (Azure, AWS, GCP). OpenAI's consumption pricing model is readily available at https://openai.com/api/pricing/. The number of tokens (words), context window, and selected model can have an effect on costs for anyone using these services beyond chat. The fixed priced providers usually enforce significant rate limiting.