Video · 2026-08-13 · 44m · 6 moments

Choosing Your Sales Strategy: Lighthouse vs. Landgrab

✦ AI generated

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Definition◆

There are two dominant sales playbooks for enterprise AI startups: the 'lighthouse' strategy, targeting high-risk, regulated markets where proof travels and social proof from logos matters, and the 'land grab' strategy, targeting markets with established budgets where you can prove value through math and replace existing solutions.

Joe Schmidt introduces a 2x2 framework categorizing sales strategies into 'lighthouse' (high buyer risk, proof travels) and 'land grab' (low buyer risk, proof through math) based on market dynamics.

transcript

Joe Schmidt: So, we really were thinking about, 'Okay, what are the the axes that we should be kind of mapping opportunities against?' And so, we decided upon like the Y axis is really what we called like a the buyer's exposure... And then the the X axis is whether or not proof travels in any given market... top right would be proof travels in this market. Um and it's it's high buyer exposure and high you know, high buyer risk... and that's a lighthouse market... bottom left would be, you know, low low uh you know, low proof traveling, but also low buyer exposure... and that would be a land grab market.

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Mechanism

In land grab markets, the focus is on showing mathematical superiority over existing solutions, whereas lighthouse markets require winning key logos to prove safety and generate social proof.

The speakers contrast the value propositions: land grab relies on proving cost/performance math, while lighthouse relies on winning marquee clients to reduce perceived risk for others.

transcript

Andy: land grab... less social proof... those tend to be especially in the AI world today, those are companies that are maybe replacing or improving workflows that already exist... inserting themselves in saying hey we built a better way to go after this through AI... lighthouse being more in industries that require, you know, regulation, a lot of social proof... those tend to be companies that are going after like a category creation, right? It doesn't exist today, so therefore you got to go out and you got to kind of prove yourself with the big the big names.

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Claim

Proof of Concept (POC) trials for AI products must have clearly defined success criteria and strict end dates to avoid becoming open-ended 'science projects'.

Andy emphasizes the importance of setting clear success criteria and end dates for AI POCs to prevent them from dragging on indefinitely as 'science projects'.

transcript

Andy: I think the two biggest things are make sure you have an end date, right? ... It's a 30-day trial, it's a 45-day trial, it's a 60-day trial, period, end of story. And then the second one is you have to define the success criteria up front. Here is what we are proving that we can do for you... I think one of the real dangers today is these things turn into like science projects... you run the risk of these trials or proof of concepts going on forever.

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Claim

Successful companies often start with one strategy (lighthouse or land grab) but must evolve to deploy both as they mature, verticalizing to capture lighthouse accounts once social proof is established.

Andy explains that companies usually start with either lighthouse or land grab, but as they grow, they transition to the other strategy—often by verticalizing to target top accounts in specific sectors.

transcript

Andy: I I I I'll also say that you know every every small company wants to become a big company. I don't know too many very large successful companies that at some point in time haven't deployed both strategies. You might start off with land grab but then you mature and you have a lighthouse strategy or you start with lighthouse and then you get big enough that you can go broad you know into land grab... in both of the last companies that I worked for both Meraki and Samsara we started with land grab but as soon as we matured... then what do you do? Well you verticalize and all of the sudden like great who are the top five you know transportation companies... and then you want to go take those down and so you can morph into a land grab strategy.

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Prediction

We are currently in a unique market cycle ('moment right now') that favors selling big software and platforms again, similar to 15 years ago, because AI is driving fundamental business model changes rather than just incremental improvements.

Joe argues that the current AI moment allows for selling large software platforms again, breaking the 15-year trend of incremental 'wedge' products, because businesses are fundamentally rethinking operations.

transcript

Joe Schmidt: if you take a giant step back and and talk about where we are in this like current cycle... there's this crazy kinetic energy inside of companies where they're saying, 'Hey... We're now looking at a different way of doing business entirely... humans are going to be doing something completely different... instead agents are going to be doing that doing that.' And so that's I think the opportunity right now, and it's why instead of talking about like of course we got to talk about PLG and like all these other sales models, there's a moment right now to go sell, you know, big software again, right?

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Claim◆

Founders should avoid spending too much time on strategy and instead focus on execution by talking to customers and pursuing the path where early, easy sales are available.

Andy advises that founders spend too much time on strategy at the expense of execution, urging them to talk to customers and follow the path of least resistance for early sales.

transcript

Andy: I think I think the biggest mistake that I see founders make in an early stage, honestly, is just spending too much time trying to figure it out, right? It's like too much time on the strategy. And strategy's important, but you should spend like 1% of your time on the strategy. Pick it and then spend 99% of your time trying to execute. So, you know, rather than sit back and say, 'Well, you know, should we do lighthouse or should we do land grab?' Get out, talk to your customers. Figure out which ones, you know, are are willing to, you know, buy your product... and then chase that path, right?

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Highlight slides

Enterprise AI Sales: Two Dominant Playbooks✦ from: There are two dominant sales playbooks for enterprise AI startups: the 'lighthouse' strategy, targeting high-risk, regulated markets where proof travels and social proof from logos matters, and the 'land grab' strategy, targeting markets with established budgets where you can prove value through math and replace existing solutions.Lighthouse Strategy: High-Risk, Regulated Markets✦ from: There are two dominant sales playbooks for enterprise AI startups: the 'lighthouse' strategy, targeting high-risk, regulated markets where proof travels and social proof from logos matters, and the 'land grab' strategy, targeting markets with established budgets where you can prove value through math and replace existing solutions.Land Grab Strategy: Established Budgets, Math-Driven✦ from: There are two dominant sales playbooks for enterprise AI startups: the 'lighthouse' strategy, targeting high-risk, regulated markets where proof travels and social proof from logos matters, and the 'land grab' strategy, targeting markets with established budgets where you can prove value through math and replace existing solutions.Strategy vs Execution: Andy's Rule✦ from: Founders should avoid spending too much time on strategy and instead focus on execution by talking to customers and pursuing the path where early, easy sales are available.What Founders Should Actually Do✦ from: Founders should avoid spending too much time on strategy and instead focus on execution by talking to customers and pursuing the path where early, easy sales are available.Avoid the Planning Trap✦ from: Founders should avoid spending too much time on strategy and instead focus on execution by talking to customers and pursuing the path where early, easy sales are available.

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