It is late February 2026. You made it through the January board meeting. The deck looked great, the pipeline chart pointed up and to the right, and someone—probably more than one someone—said some version of: “We just need to hit Q1. We can reinvest in the long game later.”
Later almost never comes.
I have spent more than thirty years watching this pattern repeat itself at companies of every size—from startups racing to a Series B to mid-market firms generating hundreds of millions or billions in revenue. Boards and the executives who report to them consistently overweight near-term revenue and underweight customer lifetime value (LTV). And the result is almost always the same: acquisition gets funded, retention gets “optimized,” customer experience becomes a cost center, churn quietly rises, and revenue turns into a treadmill.
This is not a finance problem. It is a human-brain problem.
The Science Behind Short-Termism
Behavioral scientists call it temporal discounting—our tendency to treat future value as worth dramatically less than value today (Frederick et al., 2002). In the boardroom, it shows up as quarterly thinking: prioritizing immediate bookings, margin, and headline metrics over retention, brand, customer success, and product investments that compound over time.
What makes this particularly insidious is that discounting is not linear. Research on hyperbolic discounting shows that people apply an especially steep penalty to anything that feels “not now,” then flatten out over longer horizons (Laibson, 1997; O’Donoghue & Rabin, 1999). That creates time-inconsistent preferences: a board can sincerely endorse your long-term strategy in January and quietly kill it in March.
Layer in Construal Level Theory and the picture gets worse. Psychological distance makes us think abstractly about the future—and abstract value rarely beats concrete, near-term risk inside a tense boardroom conversation (Trope & Liberman, 2010). Add loss aversion—losses feel roughly twice as painful as equivalent gains feel good (Kahneman & Tversky, 1979)—and suddenly “missing the quarter” becomes emotionally catastrophic, regardless of what the NPV model says.
The result is predictable: boards default to what reduces immediate pain, even when it destroys long-term value.
This Is Not Speculation—It Is Documented
In landmark research on corporate financial reporting, Graham, Harvey, and Rajgopal (2005) found that executives admitted a strong willingness to take actions that harm long-term value just to meet near-term earnings expectations—because markets punish misses and reward predictability. If your board is oriented around analyst expectations, financing milestones, or stock price optics, they are swimming in exactly this water.
The structural pressures are real. Research comparing public and private firms finds that public companies invest less and are less responsive to investment opportunities, consistent with short-termist pressures (Asker et al., 2015). But even private boards are not immune—they face their own version of the same cognitive forces.
In practical terms, this plays out as implied discount rates that can be astronomically high. Reviews of intertemporal choice research document “spectacular variation” in estimated discount rates, with many results in the double digits—far above what rational economic models would predict (Frederick et al., 2002). When a board treats an 18-month payback as “basically never” while treating a same-quarter bump as “obviously valuable,” they are functionally applying a 40%-plus hurdle rate to your best long-term investments.
What Long-Term Conviction Actually Looks Like: Three Case Examples
Adobe: Absorbing a Revenue Dip to Win Recurring LTV
Adobe’s move from packaged software to Creative Cloud subscriptions is one of the clearest modern examples of a board and leadership team choosing long-term LTV over near-term optics. The transition required absorbing a meaningful revenue trough before the compounding benefits of recurring, predictable revenue became visible—a process that played out over years, not quarters (McKinsey & Company, 2015). Adobe’s stock eventually reflected the model’s strength, but only after the company and its board stayed the course through the dip.
The boardroom lesson: Long-term transformations almost always look worse before they look better. If your board is not prepared for the dip, they will force “course corrections” that sabotage the transformation mid-flight.
Amazon: Making Long-Term Orientation a System, Not a Personality
Jeff Bezos did not simply ask Amazon’s board to be patient. He built a system. Amazon’s famous 1997 shareholder letter explicitly framed all decision-making around long-term market leadership and shareholder value, repeatedly setting the expectation that short-term results would be sacrificed for durable growth (Bezos, 1997). That was not a one-time speech. It became a repeated governance commitment that trained investors and directors how to evaluate the company.
The boardroom lesson: Long-term orientation is not a leadership personality trait. It is a repeatable system of metrics, narratives, and expectations that has to be actively maintained.
Unilever Under Polman: Filtering by Time Horizon
Paul Polman became known for explicitly challenging short-term shareholder primacy during his tenure as Unilever’s CEO—telling investors who were not aligned with long-term value creation to look elsewhere (Boynton, 2015). This was not arrogance. It was a recognition that you cannot simply “persuade” everyone to think long-term. Sometimes alignment requires selection, not persuasion.
The boardroom lesson: If you are constantly fighting your board’s time horizon, it may be a mismatch problem, not a messaging problem.
A Practical Framework: Managing Temporal Discounting in the Boardroom
You cannot eliminate present bias from the boardroom. But you can design around it. Here is how I advise CEOs to approach it:
Lead With Risk, Not Upside
Long-term initiatives die when framed as “growth opportunities.” They survive when framed as risk management. Retention is your insurance policy against CAC inflation. Churn is a compounding liability. This reframe harnesses loss aversion instead of fighting it.
Convert LTV Into Near-Term Control Metrics
Boards discount what they cannot see. Give them leading indicators that update inside the quarter: activation and usage milestones, time-to-first-value, expansion pipeline from existing accounts, cohort retention curve trends, and customer health score movement. The goal is to make the future observable now.
Break 18-Month Investments Into 90-Day Proof Points
Your board is not buying the entire future. They are buying the next proof point. Structure every long-term initiative into three 90-day chapters with explicit, measurable deliverables. That architecture respects present bias while still building compounding value.
Use the Reverse Countdown Technique
Research on episodic future thinking shows that mentally simulating concrete future events reduces delay discounting—when people can vividly imagine the future, they value it more (Peters & Büchel, 2010). So instead of presenting “18-month payback” as a date on a slide, run a reverse countdown: start at month 18, describe what the business looks like with churn down and expansion up, then walk backward through month 12, month 9, month 6, month 3. At each step, define what will be true operationally, not just financially. This reduces psychological distance and turns the long game into a series of endorsable near-term wins.
Build Governance That Keeps Long-Term Investments From Being Re-Litigated
Include one LTV headline metric (NRR, GRR, cohort retention) and two leading indicators in every board pack. Maintain a decision log: what was approved, what is being measured, what would cause you to stop. This creates a governance loop that makes temporal discounting visible—and harder to act on unexamined.
The Challenge for CEOs Heading Into Q1
The January board meeting is not the last one you will have this year. And the pattern I described at the top—“just hit Q1, reinvest later”—will come back around. The question is whether you have built the systems, language, and governance structures to manage it.
Boards do not do patience. They do confidence. Stop asking them to trust the long game. Show them the next 90-day proof point that validates it.
That is how you grow sales and profits without sacrificing the compounding engine that makes growth sustainable.
About Rich Smith: Rich Smith is an executive advisor, behavioral marketing strategist, investor, and CMO known for helping leaders finally understand not only what strategies work, but why. With three decades of experience leading growth across financial services, healthcare, technology, and consumer brands, Rich has guided companies through crises, rebuilt brands from the ground up, and helped position organizations for nine-figure exits. Connect with him at RichMSmith.com, on LinkedIn, and The Revenue Science Podcast.
Asker, J., Farre-Mensa, J., & Ljungqvist, A. (2015). Corporate investment and stock market listing: A puzzle? Review of Financial Studies, 28(2), 342–390.
Bezos, J. P. (1997). Amazon’s original 1997 letter to shareholders. Amazon. https://www.aboutamazon.com/news/company-news/amazons-original-1997-letter-to-shareholders
Boynton, A. (2015, July 20). Unilever’s Paul Polman: CEOs can’t be slaves to shareholders. Forbes. https://www.forbes.com/sites/andyboynton/2015/07/20/unilevers-paul-polman-ceos-cant-be-slaves-to-shareholders/
Frederick, S., Loewenstein, G., & O’Donoghue, T. (2002). Time discounting and time preference: A critical review. Journal of Economic Literature, 40(2), 351–401.
Graham, J. R., Harvey, C. R., & Rajgopal, S. (2005). The economic implications of corporate financial reporting. Journal of Accounting and Economics, 40(1–3), 3–73.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.
Laibson, D. (1997). Golden eggs and hyperbolic discounting. Quarterly Journal of Economics, 112(2), 443–478.
McKinsey & Company. (2015). Reborn in the cloud: Adobe executives discuss the company’s move to web-based software and services. https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/reborn-in-the-cloud
O’Donoghue, T., & Rabin, M. (1999). Doing it now or later. American Economic Review, 89(1), 103–124.
Peters, J., & Büchel, C. (2010). Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal–mediotemporal interactions. Neuron, 66(1), 138–148.
Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117(2), 440–463.
