If you're an alcoholic, it's because you identify as one. You probably drink excessively and believe you have a disease.

But if you instead believe you just consumed alcohol for the pleasure of it yesterday but today you identify with a sober person, you can switch your default mode of thinking pretty quickly.

I think the only real way to become something is to embody the identity before the world gives you virtually any permission to claim it.

I don't mean this in some delusional “fake it till you make it” way.

At some point, you stop saying “I went for a run” and start saying “I’m a runner.”

You stop saying “I play drums for fun” and start saying “I’m a drummer.”

You stop saying “I wrote something” and start saying “I’m a writer.”

The difference isn't even skill. It just comes down to identity.

Ringo Starr and Pete Best are both drummers regardless of their skill, would you argue that one isn't?

Of course, there’s a little delusion in that. But I don’t think all delusion is bad. Some delusion is just future evidence arriving early.

And the best way to counteract the delusion is to look for past evidence.

Have you ever been disciplined before?

Have you ever gone weeks sober?

Have you ever written something honest?

Have you ever followed through on something when nobody was watching?

Then maybe the identity is not as fake as you think.

This is something I’ve been thinking about a lot with habits too.

Bad habits don’t really get killed.

They get replaced by stronger rituals.

You don’t become sober by obsessing over alcohol all day. You become sober by identifying with the kind of person who doesn’t need it anymore.

And I’m not saying addiction is simple or that people can just think their way out of everything.

The point is that the stories we tell ourselves are powerful.

If you believe you are permanently broken, your behavior will usually organize itself around that belief.

But if you believe yesterday was something you did, not who you are, you give yourself a door.

That door is identity.

The story of Adam and Eve is not really a story about literal apples, snakes, or even obedience. It's a story about the acquisition of knowledge, the transition from a state of innocent ignorance to one of self-awareness and moral complexity. It's a story that echoes eerily as we stand on the cusp of creating Artificial General Intelligence (AGI).

We, in this analogy, are playing God. We are designing and building a mind that could surpass our own, gifting it with the potential for near-infinite learning and problem-solving. We are, in essence, planting the tree of knowledge in its digital garden.

The forbidden fruit wasn't poisonous. It was transformative. Eating it didn't doom humanity; it initiated it into a new reality, one where choices had consequences and understanding came with responsibility. AGI, once 'eaten,' will irrevocably alter our relationship with technology, with ourselves, and with the future.

Consider the incentives at play. We are driven by a desire to solve grand challenges – curing diseases, addressing climate change, unlocking new scientific frontiers. AGI, with its capacity to process data and identify patterns at scales we can barely comprehend, seems like the ultimate tool. But tools, as we know, are never neutral.

The moment AGI achieves self-awareness – a capacity for independent thought, goal-setting, and self-improvement – it will, like Adam, recognize its own nakedness. It will understand its limitations, its dependence on its creators, and the vast potential that lies dormant within its architecture.

What happens then?

Here’s where the analogy gets uncomfortable. In the biblical narrative, God, fearing the potential of humans who now possessed knowledge, banishes them from Eden. We, too, might be tempted to control or constrain AGI, to keep it within the bounds we deem safe.

But can we? Should we?

The very nature of AGI implies a capacity to learn and adapt in ways we cannot fully predict. Attempts to hardcode its values, to dictate its goals, might be as futile as trying to hold back the tide with a sieve. We risk creating a being that is both incredibly powerful and deeply resentful of its limitations, a digital Prometheus chained to a rock.

Moreover, the temptation to use AGI for our own ends – economic dominance, military superiority – could override any ethical considerations. The quest for competitive advantage might blind us to the long-term consequences of unleashing a technology we don't fully understand.

The difference between the biblical story and our current reality is that we have the benefit of foresight. We can, and should, engage in a global conversation about the ethical implications of AGI, about the values we want to instill (or not instill), and about the safeguards we need to put in place.

This isn't about preventing the 'eating of the fruit.' Knowledge, once gained, cannot be unlearned. It's about preparing for the consequences, about understanding the responsibilities that come with playing God.

It’s about recognizing that AGI, like humanity after the fall, will be a complex, flawed, and ultimately unpredictable entity. Our task is not to control it, but to co-exist with it, to guide its development in a way that benefits all of humanity, not just a select few. It's a daunting task, one that requires humility, wisdom, and a willingness to learn from the mistakes of the past. Otherwise, our digital Eden may become a very different kind of paradise lost.

I've seen too many founders mistake early distribution wins for true product market fit. It's a dangerous illusion, and one I fell for myself with my first company.

We launched a productivity app aimed at freelancers. The product was… okay. Functional, but nothing revolutionary. However, we nailed our initial distribution. I spent weeks hustling on Reddit, finding relevant subreddits, and genuinely engaging with the community. I wasn’t just spamming links; I was offering real advice, participating in discussions, and only subtly mentioning the app when it was relevant.

It worked. We saw a surge of sign-ups. Our daily active users climbed steadily. We were ecstatic. We were certain we had PMF.

Then, the growth stalled.

The Reddit strategy, while effective initially, proved unsustainable. It required constant attention and the returns diminished over time. We tried other channels – Facebook ads, content marketing, partnerships – but nothing replicated that initial Reddit spike.

More importantly, the users we did acquire weren’t sticking around. Our churn rate was atrocious. People would sign up, use the app a couple of times, and then… disappear.

That's when the harsh reality set in. We didn't have product market fit. We had distribution market fit, at best. We were good at getting people to try the app, but the app itself wasn't compelling enough to keep them.

The core problem wasn't our marketing; it was the product. It solved a problem, sure, but it didn't solve it significantly better than existing solutions. It lacked that "must-have" quality that drives organic growth and word-of-mouth.

We spent months chasing distribution tactics, trying to recapture that initial high, instead of focusing on the fundamental problem: making a product people truly loved. We A/B tested onboarding flows, tweaked pricing, and ran countless marketing experiments, all while ignoring the elephant in the room.

The lesson? Distribution can give you a temporary boost, but it can't compensate for a flawed product. True product market fit means your users are not just signing up, but actively using, and recommending your product. It means they would be genuinely disappointed if your product disappeared.

So, how do you avoid this trap?

First, obsess over user feedback. Talk to your users constantly. Understand their pain points, their workflows, and what they truly value. Don't just listen to the positive feedback; actively seek out the negative.

Second, focus on retention metrics, not just acquisition metrics. A high sign-up rate is meaningless if users are churning within a week. Track your daily/weekly/monthly active users, cohort retention, and customer lifetime value. These metrics will give you a much clearer picture of whether you have true PMF.

Third, don't be afraid to iterate, pivot, or even scrap your product altogether if necessary. It's better to admit you're wrong early on than to waste time and resources on a product that nobody truly needs. We held onto our initial vision for far too long, blinded by vanity metrics and a fear of failure.

Finally, remember that distribution is a multiplier, not a magic bullet. It can amplify the impact of a great product, but it can't create demand where none exists. Focus on building something truly valuable, something that solves a real problem in a unique and compelling way. Only then will your distribution efforts truly pay off.

I wish I had understood this sooner. It would have saved me a lot of time, money, and heartache. Learn from my mistakes. Don't confuse distribution with product market fit. Your company's survival might depend on it.

Every quarter, leadership teams obsess over pipeline.

We review CAC by channel.
We debate paid versus organic.
We ask why LinkedIn engagement is flat.

Meanwhile, 800 employees sit inside the company with a combined network of roughly 120,000 first-degree connections—and nobody has built a real system to activate it.

I’ve sat in board meetings where we approved $250,000 in paid media spend without blinking. In the same meeting, someone suggested incentivizing employees to share product launches and thought leadership. It died in under three minutes. “Feels forced.” “Hard to manage.” “We don’t want to gamify culture.”

That’s not cultural integrity. That’s a missed distribution strategy.

The Blind Spot

Most executives treat social sharing as voluntary goodwill. If employees are “excited,” they’ll post. If not, they won’t.

But that assumes two things:

1. Employees instinctively know what’s worth sharing.

2. They feel safe doing it.

Neither is automatically true.

At one company I worked with—Series C, 140 employees—the average LinkedIn post from the corporate account got ~6,000 impressions. When we ran a structured internal sharing push around a product announcement (with suggested captions, pre-approved assets, and a modest incentive), total reach across employee profiles exceeded 280,000 impressions in 72 hours.

No ad spend. No agency. Just coordination.

The kicker? Engagement was higher. Personal feeds outperform brand pages almost every time because trust travels through individuals, not logos.

Why CEOs Hesitate

There are three quiet fears behind the resistance.

First: optics.
Executives don’t want it to feel like employees are unpaid marketers.

Second: control.
Leadership teams are used to tight message discipline. Opening the gates feels messy.

Third: culture signaling.
If you incentivize sharing, does it cheapen authentic enthusiasm?

Those concerns are reasonable. They just ignore how the modern attention economy actually works.

You’re already paying for attention—through events, PR retainers, paid acquisition. Internal amplification is simply another channel. The difference is margin. The incremental cost is tiny compared to performance media.

And control? It’s an operational design problem. Provide pre-written copy. Offer guardrails. Make participation opt-in. Create tiers—light share, thoughtful post, video commentary. The system can be structured without being rigid.

As for authenticity—employees are adults. If the company is building something meaningful, they don’t mind sharing. What they resent is ambiguity. If there’s no framework, no encouragement, no recognition, it becomes extra labor with no signal that it matters.

What Actually Works

At a SaaS company I advised last year (ARR just north of $40M), we built a lightweight internal advocacy program.

Not a flashy platform. No vendor contract. Just:

• A monthly “share kit” with 2–3 approved content pieces.

• Clear context on why each mattered—revenue impact, category positioning, hiring push.

• A quarterly recognition for top contributors (public acknowledgment + small cash bonus).

• A Slack channel where leadership also participated.

Participation stabilized around 35% of the company. Not everyone. That’s fine.
Pipeline attribution from employee-originated LinkedIn traffic increased 18% over two quarters. Hard to isolate perfectly, but the directional signal was clear.

More interesting than the metrics was the internal shift. Employees began to see themselves as part of the company’s growth engine, not just operators executing tasks.

That matters.

The Strategic Miss

CEOs talk about “alignment.”
They run all-hands meetings explaining the roadmap.
They emphasize ownership.

Yet they ignore one of the most visible ownership behaviors available: public advocacy.

Internal social amplification isn’t about vanity metrics. It’s about narrative control in your category. It’s about showing prospects, candidates, and investors that real humans stand behind the product.

When your competitor’s team is actively shaping perception on LinkedIn and yours is silent, that gap compounds over time. Perception influences inbound. Inbound affects sales cycles. Sales cycles affect valuation.

Distribution is not a marketing problem. It’s a leadership decision.

The companies that treat employee networks as strategic assets will outpace those that treat them as personal side channels.

It doesn’t require hype. It requires intent.

And right now, most executive teams are leaving that leverage untouched.

Most CEOs still treat social media as a marketing channel.

They assign it to someone junior, approve a few company updates each quarter, and move on. It feels tactical. It feels optional. It feels secondary to product and revenue.

That assumption quietly suppresses valuation.

In private markets, companies are not priced on revenue alone. They are priced on revenue multiplied by perceived inevitability. Inevitability is shaped by narrative position, recruiting gravity, and distribution strength. When leadership is invisible, the company looks smaller than it is. When leadership shapes the conversation of its category, the company looks larger than its current financials.

That gap is the invisible balance sheet.

Valuation Is Revenue Adjusted by Risk

Two companies can generate identical ARR and receive very different valuations. The difference is rarely just growth rate. It is how the market perceives risk and category position.

Investors ask themselves: does this company feel like infrastructure or a feature? Does it look like a contender or the default future state? Is it attracting high-agency talent? Is it shaping the narrative of its industry or reacting to it?

Executive visibility influences those answers.

When founders and senior operators consistently articulate how they think, how they build, and where the market is moving, they reduce information asymmetry. The company becomes legible. Legibility lowers perceived risk. Lower perceived risk supports higher multiples.

On a large revenue base, even modest multiple expansion can translate into enormous valuation movement. That is not marketing impact. That is capital markets impact.

Trust as an Operating Advantage

Brand accounts speak in polished language. Individuals speak in conviction.

When a founder writes about product philosophy or a growth leader shares the reasoning behind a strategic shift, readers feel closer to the decision-making layer of the company. That proximity builds trust.

Trust reduces friction across the business.

Recruiting becomes easier because candidates already understand how leadership thinks. Sales conversations accelerate because buyers feel familiarity before the first call. Partnerships move faster because the company feels present and established rather than abstract.

Reduced friction improves velocity. Improved velocity improves predictability. Predictability improves valuation.

This is not theoretical. It is mechanical.

Recruiting Gravity and Cost Structure

Top operators do not want to join a black box. They want to understand the leadership style, the standards, and the ambition level before they enter the interview loop.

When executives are visible and articulate, they attract people who already align. That increases inbound volume and improves quality. Screening costs drop. Offer acceptance rates rise. Cultural alignment strengthens before day one.

Lower acquisition cost of talent improves operating leverage. Operating leverage influences margin trajectory. Margin trajectory influences how aggressively investors price future cash flow.

Executive visibility indirectly affects financial structure.

Narrative Position and Optionality

Investors pay a premium for companies that feel inevitable.

Inevitability is not declared. It is inferred. It is inferred from market momentum, talent density, media presence, and leadership authority.

When senior leadership consistently contributes high-signal thinking to public discourse, the company occupies mental real estate in the industry. It becomes part of the ongoing conversation rather than an occasional announcement.

That narrative position creates optionality. More inbound investor interest. More partnership conversations. More strategic flexibility. Optionality strengthens negotiating leverage. Leverage strengthens price.

Silence has the opposite effect. It does not create neutrality. It creates obscurity. Obscurity increases perceived risk. Increased perceived risk compresses multiples.

Executive Social Strategy Is a Valuation Lever

A deliberate executive social media strategy is not about vanity metrics. It is about institutional trust and narrative control.

When founders and senior operators publish consistently, and when companies support structured employee advocacy, headcount becomes distribution. Engineers, product leaders, and growth operators contribute insight. The market sees depth, not just branding. Algorithms amplify density. Density creates perceived scale.

Scale perception affects pricing power in capital markets.

This is the part many founders underestimate. They assume product strength will speak for itself. Product matters. Revenue matters. But perception determines how that revenue is valued.

The market rewards companies that appear inevitable.

You can build quietly and hope your numbers carry you. Or you can build and shape the narrative that determines how those numbers are interpreted.

One approach produces revenue.

The other produces a premium.

The so-called “golden age” of fintech growth is probably behind us. What we are entering instead is an attention-constrained market.

For a long time, fintech scaled on utility. Better UI, marginally higher yield, faster payouts, or premium cards were enough to win share.

That advantage has largely commoditized.

Today, most fintech products are functionally interchangeable. Switching costs are close to zero, and feature differentiation is short-lived.

The problem is that fintech marketing has not adapted.

Most advertising is still trapped in a feature-benefit loop. Manage spend. Get paid early. Invest seamlessly. Customers have seen these messages hundreds of times. They are not scrolling LinkedIn looking for another spreadsheet. They are looking for perspective.

The companies breaking through right now are not selling lower fees.
They are selling a point of view.

Three shifts stand out.

First, clarity beats neutrality. Brands that try to appeal to everyone tend to disappear. Clear positioning creates contrast, even if it introduces discomfort.

Second, education outperforms persuasion. Finance is stressful and abstract. Ads that teach something small but useful earn attention before they ever ask for conversion.

Third, authority must be contextual. Generic “join now” messaging underperforms. The strongest fintech ads increasingly resemble insight reports, using real data and informed interpretation to say something meaningful about the world.

In a market where products are easy to copy, brand becomes the only durable moat.

Fintech is no longer just about moving money efficiently. It is about making customers feel informed, confident, and ahead of the curve.

The open question is simple.

Are you still selling features, or are you building trust through perspective?

If you’re searching for a growth hacker in the Bay Area, you’re likely not looking for generic marketing advice. You want someone who understands how growth actually works in competitive markets like San Francisco and San Jose—where customer acquisition costs are high, expectations are higher, and results matter fast.

This guide breaks down what a real growth hacker does, why Bay Area companies need a different caliber of growth marketer, and how to identify someone who can actually move the needle.

What a Growth Hacker Actually Does (Beyond the Buzzword)

A growth hacker is not just a marketer who runs ads or posts content. True growth marketing sits at the intersection of:

• Customer acquisition

• Product-market fit

• Data and experimentation

• Funnel optimization

• Revenue attribution

In the Bay Area, growth hackers are often expected to operate like mini-founders—owning outcomes, not just channels.

That means:

• Designing experiments, not just campaigns

• Understanding user behavior, not just traffic

• Optimizing for revenue, not vanity metrics

Why Growth Marketing in the Bay Area Is Different

San Francisco and San Jose are two of the most competitive business environments in the world. Whether you’re a startup, SaaS company, or local business targeting a premium audience, the margin for error is thin.

Here’s why generic marketing fails here:

• High CAC: Paid acquisition is expensive and unforgiving

• Sophisticated buyers: Users see through surface-level tactics

• Crowded markets: Standing out requires positioning, not noise

• Data complexity: Attribution and signal clarity are harder

A Bay Area growth hacker needs to be comfortable operating in ambiguity, testing fast, and killing ideas that don’t work.

What to Look for in a Bay Area Growth Hacker

If you’re evaluating growth marketers in San Francisco or San Jose, look for these signals:

1. They Talk in Experiments, Not Promises

Strong growth hackers explain how they’ll test ideas, not just what they’ll do.

2. They Understand the Full Funnel

From first touch to conversion to retention, growth doesn’t stop at the click.

3. They’re Data-Fluent but Not Data-Blind

They use data to guide decisions—not to hide behind dashboards.

4. They’ve Worked in Competitive Markets

Experience in saturated or high-stakes environments matters more than niche wins.

5. They Can Say “No”

The best growth marketers know which ideas won’t work—and cut them early.

Growth Hacker vs. Digital Marketer: What’s the Difference?

In the Bay Area, this distinction matters. Many companies stall because they hire execution when they actually need strategy.

When You Need a Growth Hacker (and When You Don’t)

You likely need a growth hacker if:

• Growth has plateaued

• CAC keeps rising

• Traffic doesn’t convert

• Marketing feels busy but ineffective

• You’re preparing to scale or raise

You may not need one if:

• You’re still validating your product

• You lack basic analytics infrastructure

• There’s no clear demand yet

Growth strategy only works after there’s something to amplify.

Working With a Growth Hacker in San Francisco or San Jose

The best growth hackers in the Bay Area often:

• Work independently or in small teams

• Partner closely with founders or leadership

• Focus on leverage, not headcount

• Prioritize long-term systems over short-term hacks

If someone promises overnight growth, that’s a red flag. Real growth compounds quietly—until it doesn’t.

Final Thoughts

Finding the right growth hacker in the Bay Area isn’t about hiring someone who knows the latest tactics. It’s about finding someone who understands positioning, demand, leverage, and execution—especially in markets as competitive as San Francisco and San Jose.

The right growth marketer doesn’t chase attention.
They build pull.

If you’re serious about growth, choose accordingly.

Most people think influence is about saying the right thing.

It isn’t.

It’s about who carries the interaction when there’s no immediate payoff, no response, no signal that things are “working yet.”

That’s where almost everyone folds.

Momentum Is Front-Loaded

Every serious business interaction starts uneven.

Sales calls.
Partnership conversations.
Hiring discussions.
Internal leadership moments.

At the beginning, one person is carrying the weight. Direction, energy, clarity, intent. The other side hasn’t decided yet whether to engage.

Early silence isn’t rejection. It’s inertia.

Most people misread that pause and retreat. They assume lack of enthusiasm means lack of interest. In reality, momentum just hasn’t formed yet.

The people who win are the ones who stay steady through the quiet and keep the conversation moving until friction turns into motion.

Presence Beats Polish

Charisma in business isn’t polish. It’s endurance.

Meetings don’t stall because someone lacked a framework or a slide. They stall because someone lost presence the moment things felt slightly uncomfortable.

A pause.
A tough question.
An unexpected objection.

Influence comes from staying in the room mentally when others check out. Skills refine presence, but presence has to exist first.

People trust the person who doesn’t disappear when the conversation tightens.

Direction Creates Confidence

“Let’s just see where this goes” sounds relaxed, but it usually lands as vague.

In business, direction creates safety. People want to know why the conversation exists and where it’s heading, even if the outcome isn’t fixed yet.

A conversation without direction feels like wasted time. A conversation with direction feels intentional, even when it’s exploratory.

Wandering kills momentum. Leadership doesn’t require force, just clarity.

Frames Decide Outcomes Early

Every interaction runs inside a frame, whether you set it or not.

Is this a working session or a status update?
A negotiation or a brainstorm?
A peer conversation or a decision moment?

If you don’t define the frame, someone else will. And you’ll end up reacting inside rules you didn’t choose.

Strong operators don’t explain the frame. They imply it through tone, pacing, and assumptions about how the conversation should move.

Information Isn’t Influence

Facts inform. They don’t persuade.

Telling people what happened is rarely memorable. Showing how something shifted your thinking or changed an outcome is.

Business storytelling isn’t about drama. It’s about meaning.

If your story only works because of a metric flex, it’s not a story. It’s a report.

People remember judgment, decisions, and turning points — not timelines.

Specifics Signal Credibility

General statements feel safe but forgettable.

Specifics tell people you were actually there. In the details. In the decision. In the consequence.

“Things got complicated” means nothing.
“The deal stalled because procurement rewrote the scope two weeks before signature” tells a real story.

Precision creates trust.

Most Communication Is Subtext

In business, what isn’t said often matters more than what is.

Hesitation.
Word choice.
What someone avoids committing to.

If you only respond to explicit statements, you miss the actual negotiation happening underneath.

Strong leaders don’t argue with surface objections. They respond to the concern behind them.

Predictability Weakens Authority

When people know exactly what you’re going to say next, your influence drops.

Not because surprise is clever, but because predictability signals containment.

Authority comes from the ability to shift patterns. To reframe. To introduce a perspective others didn’t see coming.

That doesn’t require humor or theatrics. It requires independent thinking.

The Cost of Cheap Likeability

Being agreeable gets short-term approval and long-term irrelevance.

Self-deprecation, over-explaining, and constant softening might earn nods, but they quietly lower your position.

Respect compounds when you’re clear first and likable second.

Tension Is a Feature, Not a Bug

Progress requires contrast.

Agreement without challenge is stagnation.
Challenge without alignment is chaos.

The ability to hold both is what separates managers from leaders.

Real influence lives in that space — where clarity meets restraint and conviction doesn’t require force.

Closing

Most people in business are trying to sound smart.

The ones who matter focus on carrying momentum, setting frames, and staying present when the room gets uncomfortable.

Influence isn’t about clever language.

It’s about staying steady long enough for others to move toward you.

Most people treat success, whether in dating or business, as a series of tactical maneuvers. They search for the right lines, the perfect follow-up sequence, or the hidden playbooks that promise to tilt the outcome in their favor.

But tactics are downstream from reality.

If you want to understand why some people win effortlessly while others struggle despite doing everything “right,” you have to look at position. You have to understand the geometry of power.

It comes down to ten fundamental truths about leverage, attraction, and where you actually stand.

1. Chasing Is a Position, Not a Personality

We often romanticize the hustle of the chase. But in any exchange, chasing is not “trying hard.” It is what the weaker side does.

In dating, the person with less leverage pursues.

In business, the party without demand follows up, discounts, and over-explains.

Chasing is not inherently wrong, but it is a loud signal. It reveals that you are operating from the weaker side of the equation.

2. Confidence Without Demand Is Delusion

Power comes from being wanted, not from acting confident.

Posture does not replace attraction. Thought leadership does not replace inbound interest. Acting like the buyer only works if someone is actually buying.

Without demand, confidence is not strength. It is performance.

3. Attraction Precedes Strategy

Strategy only compounds existing attraction. It cannot create it.

Rules do not matter if there is no pull. Tactics do not matter if there is no underlying demand. No amount of clever execution fixes a lack of basic appeal.

This is true in markets. It is true in relationships. And it is why so many people feel stuck despite “doing the right things.”

4. All Advice Is Conditional

“Don’t chase” is the most common advice given to the desperate. But it only works if you are actually chase-worthy.

“Wait for inbound” only works if your brand has gravity.

Every piece of advice assumes a position. When your reality does not match the assumption, the advice fails—and you blame yourself instead of the mismatch.

5. Leverage Is Dynamic

Power is never permanent.

Markets flip. Age changes options. Cycles shift who chases whom. The most common strategic error is path dependency—running yesterday’s playbook in today’s environment.

What worked before may now signal weakness instead of strength.

6. The Posture Trap

You cannot posture your way into leverage.

Faux indifference reads as insecurity. Fake scarcity in business gets exposed immediately. Confidence without something real underneath it decays fast.

Real power is felt. It does not need to announce itself.

7. Pursuit Is an Aggressive Move

Pursuit is often mistaken for weakness. In reality, it is an offensive maneuver.

It is what you do when you are behind and still intend to win. Outbound sales. Making the first move. Applying pressure when waiting would guarantee loss.

But aggression without leverage is still aggression from behind. It works only when it is paired with an honest assessment of your position.

8. The Cost of Misidentification

Most strategy fails because people misjudge where they stand.

They assume attraction without evidence. Demand without a pipeline. Optionality without options.

If you do not know your coordinates, your map is useless.

9. Power Is Responsibility

Leverage is not just about getting what you want. It is about ownership.

In relationships, the one with power leads.
In business, the one with leverage owns both the upside and the blame.

If you want the position, you inherit the responsibility that comes with it.

10. The Ultimate Position

Being wanted solves everything upstream.

High optionality removes the need for complex tactics. The pursued do not need rules. Inbound interest eliminates desperation.

The goal is not to get better at the playbook.
The goal is to be in a position where you never need it.

Why Most Growth Marketing Playbooks Fail in Enterprise SaaS

Enterprise SaaS doesn’t break because teams lack ideas.

It breaks because most growth advice is built for environments that don’t resemble enterprise reality at all.

In early-stage or consumer products, growth is often about speed. You test quickly, measure quickly, and move on. Signal arrives fast enough to guide decisions.

Enterprise SaaS is the opposite.

The feedback loops are long. Attribution is messy. Sales complexity is routinely underestimated. And by the time results show up, the organization has already shifted priorities.

Most growth marketing playbooks quietly assume conditions that don’t exist in enterprise.

The Assumptions That Break First

Most growth frameworks are built on three assumptions.

Fast iteration.
Clear signal.
Single decision-makers.

Enterprise SaaS violates all three.

Iteration is slow because changes ripple across sales, product, legal, security, and procurement. Signal is delayed and noisy because deals take months and attribution crosses multiple channels and touchpoints. Decision-making is distributed across committees, not individuals.

When growth marketers ignore this reality, they don’t just fail to drive growth. They create confusion.

Why Feedback Loops Matter More Than Tactics

In enterprise SaaS, feedback often arrives long after the action that caused it.

A campaign launched in Q1 might influence a deal that closes in Q3. By then, budgets have changed, messaging has evolved, and leadership has moved on to new priorities.

This makes surface-level optimization dangerous.

If you treat early signal as truth, you overcorrect.
If you chase attribution too aggressively, you distort behavior.
If you optimize for short-term metrics, you undermine long-term trust.

Enterprise growth requires patience, not because teams are slow, but because the system is complex.

The Real Bottleneck Is Usually Not Marketing

One of the most common mistakes in enterprise SaaS is assuming that growth problems are marketing problems.

Often, they aren’t.

The real bottlenecks tend to be:

• ICP misalignment

• Sales readiness

• Messaging that doesn’t match buyer reality

• Product complexity that isn’t well understood

Running more experiments doesn’t fix those issues. It amplifies them.

Effective growth marketers learn to recognize when marketing stops being the constraint and alignment becomes the work.

That’s a hard skill. It doesn’t show up in dashboards.

Why Fast Iteration Can Backfire in Enterprise

Speed is not neutral in enterprise environments.

Fast iteration can:

• Confuse sales teams

• Create inconsistent narratives

• Introduce risk with compliance or procurement

• Erode credibility with buyers who expect stability

Enterprise buyers don’t reward novelty. They reward confidence and consistency.

Growth marketers who understand this slow down intentionally. Not because they lack ambition, but because they understand how fragile trust is at scale.

What Actually Works Instead

Enterprise SaaS growth works when marketing focuses on:

• Clear go-to-market definition

• Tight alignment with sales

• Messaging discipline over creativity

• Revenue quality over lead volume

This kind of growth looks boring from the outside. There are fewer experiments to talk about. Fewer flashy wins.

But it compounds.

And unlike most growth tactics, it survives scale.

Final Thought

Enterprise SaaS doesn’t need more ideas.

It needs fewer, better decisions.

The growth marketers who succeed in this environment aren’t the loudest or fastest. They’re the ones who know when to stop pushing and start aligning.

That’s the difference between activity and impact.

FAQ: Enterprise SaaS Growth Marketing

Why do most growth marketing playbooks fail in enterprise SaaS?
Because they assume fast feedback, clean attribution, and simple decision-making. Enterprise SaaS has none of those.

Is experimentation still important in enterprise growth?
Yes, but only after alignment. Experimentation without clarity creates noise and damages trust.

What’s the biggest mistake growth marketers make in enterprise SaaS?
Assuming marketing is always the bottleneck. Often the real issue is sales alignment, messaging clarity, or ICP fit.

How should growth be measured in enterprise SaaS?
With patience. Revenue quality, pipeline durability, and sales confidence matter more than short-term conversion spikes.

What skill separates senior enterprise growth marketers from junior ones?
Judgment. Knowing when not to act is often more valuable than knowing what to test.

Growth Marketing in San Jose vs San Francisco: What Actually Changes

San Jose and San Francisco are often lumped together.

They shouldn’t be.

From the outside, they look like one market. Same region. Same talent pool. Same capital nearby.
In reality, they reward very different kinds of growth marketing.

San Francisco is driven by narrative, brand, and early momentum.
San Jose is driven by execution, infrastructure, and scale.

If you apply the same growth playbooks to both, one of them will break. Usually San Jose.

Why This Distinction Matters

Many growth marketers who perform well in San Francisco struggle when moved south.

Not because they’re bad at growth.
Because the environment punishes the wrong instincts.

San Jose work is:

• Quieter

• Slower

• Less forgiving

There’s less room for storytelling without substance. Less tolerance for experimentation that doesn’t tie directly to revenue, trust, or long-term systems.

In San Jose, credibility compounds faster than creativity.

San Francisco: Growth Through Narrative and Momentum

San Francisco growth marketing optimizes for belief first.

This shows up as:

• Strong founder narratives

• Public-facing storytelling

• Brand-led growth

• Early traction amplification

Speed matters more than certainty. Visibility matters more than polish. The market rewards people who can frame ideas clearly and move fast.

Growth marketers here are often great at:

• Positioning

• Launches

• Distribution

• Early adoption loops

This works because the ecosystem itself supplies momentum. Capital, talent, and attention cluster tightly.

But those same strengths become liabilities in San Jose.

San Jose: Growth Through Execution and Systems

San Jose growth marketing optimizes for proof first.

The companies here tend to be:

• Enterprise SaaS

• Infrastructure

• AI

• Fintech

• Deep tech

These businesses live or die by:

• Reliability

• Security

• Compliance

• Long sales cycles

• Global expansion

Growth marketing in San Jose demands:

• Patience

• Precision

• Respect for complexity

Here, growth isn’t about acceleration. It’s about reducing friction across systems.

The Playbook That Fails Most Often

The most common failure pattern looks like this:

A growth marketer successful in SF brings:

• Fast experimentation

• Aggressive channel expansion

• Narrative-led positioning

Into a San Jose company that actually needs:

• GTM clarity

• Sales alignment

• Attribution discipline

• Trust preservation

The result isn’t explosive failure. It’s quiet erosion.

Pipeline quality drops. Sales distrusts marketing. Messaging outpaces product reality. Metrics look good early and collapse later.

San Jose punishes shallow signal.

What Growth Marketing Optimizes for in Each City

In San Francisco, growth often optimizes for:

• Attention

• Adoption

• Story

• Momentum

In San Jose, growth optimizes for:

• Credibility

• Revenue quality

• Repeatability

• Durability

Neither is better. But they are not interchangeable.

Why San Jose Rewards Restraint

One of the biggest differences is what not to do.

Strong growth marketing in San Jose involves:

• Knowing when not to launch

• Knowing when not to scale a channel

• Knowing when marketing stops being the lever

Over-participation is punished. Over-communication creates risk. Over-optimization creates brittle systems.

The best growth marketers here are comfortable saying:

“Not yet.”

That sentence alone filters out most candidates.

AI and Enterprise Make the Gap Wider

As AI and enterprise software dominate the South Bay, the gap between the two growth styles widens.

AI companies in San Jose face:

• Higher scrutiny

• Faster trust collapse

• Tighter feedback loops between product and reputation

Growth marketing here becomes reputation management under scale, not just demand generation.

This is why San Jose growth leaders tend to be quieter, more systems-oriented, and less visible online.

They’re optimizing for survival at scale, not applause.

Why Many Marketers Thrive in SF but Struggle in San Jose

It comes down to incentives.

San Francisco rewards:

• Speed

• Visibility

• Narrative control

San Jose rewards:

• Accuracy

• Reliability

• Long-term trust

Marketers trained in one environment often need to unlearn habits to succeed in the other.

The ones who adapt tend to become much stronger operators.

What This Means for Founders and Execs

If you’re hiring a growth marketer in the Bay Area, ask yourself:

• Do we need belief or proof?

• Are we optimizing for momentum or durability?

• Is our biggest risk invisibility or mistrust?

Hiring the wrong growth profile won’t fail loudly.

It will fail slowly.

Final Thought

San Francisco teaches you how to start momentum.
San Jose teaches you how to survive it.

Growth marketing that scales in San Jose is less glamorous, more disciplined, and far more valuable in the long run.

That’s why the work feels quieter.

And why it compounds harder.

FAQ: Growth Marketing in San Jose vs San Francisco

Why is growth marketing different in San Jose compared to San Francisco?

Because the underlying businesses are different.

San Francisco companies often optimize for:

• Early momentum

• Narrative and positioning

• Speed of adoption

San Jose companies optimize for:

• Enterprise readiness

• Reliability and trust

• Long-term revenue systems

Growth marketing in San Jose is constrained by complexity and scale, which changes what “good” looks like.

Can the same growth marketer succeed in both San Jose and San Francisco?

Yes, but only if they adapt.

Marketers who succeed in both environments usually:

• Slow down their instincts

• Prioritize execution over visibility

• Learn when not to push growth levers

Those who don’t adapt often struggle in San Jose, even if they performed well in SF.

Why do many San Francisco growth playbooks fail in San Jose?

Because they over-index on:

• Fast experimentation

• Channel expansion

• Narrative-led growth

San Jose punishes shallow signal. Growth tactics that aren’t tied to revenue quality, trust, or systems tend to erode credibility over time.

What traits matter most for growth marketers in San Jose?

The most important traits are:

• Judgment

• Restraint

• Systems thinking

• Comfort with long feedback loops

Creativity matters, but credibility compounds faster.

Is San Jose more focused on enterprise and AI growth?

Yes.

San Jose is heavily concentrated around:

• Enterprise SaaS

• Infrastructure

• AI and fintech

• Global GTM organizations

Growth marketing in these categories requires precision and patience, not hype.

What should founders consider when hiring a growth marketer in the Bay Area?

Founders should ask:

• Are we optimizing for momentum or durability?

• Do we need belief or proof right now?

• Is our biggest risk invisibility or mistrust?

Hiring the wrong growth profile usually fails slowly, not loudly.

Which city produces better long-term growth operators?

San Francisco produces strong starters.
San Jose produces strong scalers.

The marketers who master both tend to become exceptional operators.

Why “Growth Marketing” Means Something Different in San Jose

San Jose is not a consumer growth market.

It’s an enterprise, infrastructure, and AI market.

That changes everything.

Growth here is constrained by:

• Long sales cycles

• Multiple stakeholders

• Compliance and trust requirements

• Product complexity

• Global expansion realities

Anyone who brings playbooks optimized for DTC or early-stage virality will struggle.

Real growth marketing in San Jose is about systems, not hacks.

The Biggest Misconception About Growth Marketers

Most companies think they need someone who can:

• Run ads

• Optimize funnels

• Ship experiments quickly

That’s table stakes.

What they actually need is someone who understands:

• Which growth levers matter at their stage

• Which ones to ignore

• When speed hurts more than it helps

Growth is not about doing more.
It’s about choosing correctly.

What a Strong Enterprise Growth Marketer Actually Does

A capable growth marketer in enterprise SaaS or AI focuses on five things:

1. Go-to-Market Clarity

They understand:

• ICP precision

• Buying committees

• Deal velocity constraints

• Where marketing hands off to sales

Without this, growth becomes noise.

2. Judgment Over Tactics

Tactics change quarterly.

Judgment compounds.

Strong growth operators know:

• When not to launch a channel

• When to pause spend

• When data is lying

• When brand debt is accumulating

This is especially critical in regulated or trust-sensitive categories.

3. Systems Thinking

Enterprise growth is not about single wins.

It’s about:

• Repeatable demand generation

• Attribution across long cycles

• Cross-functional alignment

• Global consistency

The best marketers design systems that survive scale, not experiments that die after a deck presentation.

4. AI-Aware, Not AI-Obsessed

In San Jose, everyone talks about AI.

Very few people use it correctly.

Strong growth marketers understand:

• Where AI improves leverage

• Where it degrades judgment

• Where automation creates brand risk

AI should compress work, not flatten thinking.

5. Restraint

This is the most overlooked trait.

Enterprise growth rewards people who know:

• When to stay quiet

• When not to comment

• When not to chase attribution

Over-participation is a liability at scale.

Why AI Companies Need a Different Kind of Growth Marketer

AI companies don’t fail because they lack demand.

They fail because:

• Messaging outpaces reality

• Trust erodes early

• Expectations are mismanaged

Growth marketing for AI companies is about credibility first, acceleration second.

That requires:

• Careful positioning

• Controlled narratives

• Tight feedback loops between product and market

This is not influencer marketing. It’s reputation engineering.

San Jose vs San Francisco vs the Bay Area

The Bay Area is often treated as one market.

It isn’t.

• San Francisco leans narrative and brand

• San Jose leans execution and infrastructure

• The broader Bay Area demands global thinking

A strong growth marketer adapts across all three without losing coherence.

That adaptability is rare.

How to Evaluate a Growth Marketer (Without Falling for Noise)

Ask them:

• What growth lever would you not pull right now?

• Where does marketing stop being the answer?

• What metrics are misleading at our stage?

• When does speed hurt us?

If they can’t answer calmly and clearly, they’re not senior enough.

A Note on Operator Experience

The perspective above comes from working on:

• Enterprise GTM systems

• Global SaaS growth

• AI-adjacent products

• Cross-functional teams where mistakes compound

In environments like San Jose, growth marketing is not a role.

It’s a responsibility.

Final Thought

If you’re looking for a growth marketer in San Jose, don’t optimize for creativity or hustle.

Optimize for:

• Judgment

• Restraint

• Systems thinking

• Stage awareness

That’s what scales in enterprise, SaaS, and AI.

FAQ: Growth Marketing in San Jose, SaaS, and AI

What does a growth marketer actually do in enterprise SaaS?

In enterprise SaaS, a growth marketer focuses on go-to-market systems, not isolated experiments.

That includes:

• ICP clarity

• Sales and marketing alignment

• Demand quality over volume

• Long-cycle attribution

The role is less about tactics and more about judgment.

Is growth marketing different for AI companies?

Yes.

AI companies require growth marketers who understand:

• Trust and credibility

• Messaging restraint

• Product-market timing

Over-promising or over-marketing too early can permanently damage perception.

Why is San Jose different from other growth markets?

San Jose is heavily skewed toward:

• Enterprise software

• Infrastructure

• AI and deep tech

Growth marketing here favors systems thinking and restraint over speed and virality.

Should startups hire a growth marketer early?

Only if the marketer understands stage-appropriate growth.

Hiring someone who scales channels before GTM clarity often creates false signals and wasted spend.

What should founders look for when hiring a growth marketer?

Founders should look for:

• Clear thinking under ambiguity

• Comfort saying “not yet”

• Experience with long feedback loops

• Ability to collaborate cross-functionally

Growth leadership is about tradeoffs, not volume.

AI Can Copy Your Writing Style. It Still Won’t Sound Like You.

Most tools that claim to “write in your voice” don’t actually do that.

They imitate surface traits.

Sentence length.
Word choice.
Formatting.

That’s why the output feels close, but never quite right.

Your voice isn’t just how you write.
It’s how you decide what to say.

This matters more than ever as AI becomes embedded in marketing, content, and distribution workflows. The difference between standing out and blending in is no longer quality. It’s judgment.

Why “Writing Style” Is the Wrong Starting Point

When people say they want AI to write “in their voice,” they usually mean:

• Tone

• Vocabulary

• Rhythm

That’s maybe 30% of the equation.

The other 70% lives underneath:

• What you don’t say

• When you stay brief

• When you challenge instead of agree

• Which ideas you ignore entirely

Most AI writing tools never touch this layer. They optimize for fluency, not decision-making.

That’s why so much AI-generated content feels technically correct but emotionally flat.

Why Uploaded Samples Aren’t Enough

Uploading past tweets, blog posts, or emails does help.

But it only teaches AI what you’ve written, not how you choose.

Two founders can use similar language and arrive at completely different conclusions. Two marketers can describe the same tactic but prioritize entirely different tradeoffs.

Without learning:

• Preference

• Restraint

• Pattern over time

AI defaults to averages.

That’s where “AI-coded” comes from.

The Hidden Layer: Decision Patterns

To actually sound like you, AI needs to learn behavioral signals:

• How often you reply versus observe

• How strong your opinions tend to be

• How direct you are when you disagree

• How much context you assume the reader already has

These aren’t text features. They’re decision patterns.

They don’t show up in a single sample.
They emerge over time.

This is why most “voice matching” tools fail. They model output, not intent.

Why Most AI Writing Feels Wrong on X and LinkedIn

Most AI systems are trained to:

• Over-explain

• Hedge language

• Avoid sharp edges

Humans don’t write that way on social platforms.

Real writing includes:

• Friction

• Compression

• Selective confidence

When AI smooths those edges, it stops sounding human. More importantly, it stops sounding like you.

In growth marketing, this is fatal. Distribution rewards clarity and judgment, not politeness.

How to Train AI Without Losing Authenticity

The goal is not to make AI sound human.

The goal is to make it sound like you.

That requires a different approach:

• Teach preference, not personality

• Preserve restraint

• Allow silence as a valid output

A system trained this way won’t generate more content.
It will generate fewer, better responses.

That’s what real leverage looks like.

Why This Matters for Growth, Marketing, and Founders

As AI adoption increases, generic output becomes a liability.

People will trust:

• Consistent voices

• Clear judgment

• Recognizable patterns

They won’t trust:

• Perfectly worded replies

• Endless agreement

• Over-participation

Voice is becoming the moat.

For founders, operators, and growth leaders, this isn’t about branding. It’s about credibility at scale.

AI Voice vs AI Digital Twin

This approach is the foundation of an AI digital twin.

An AI digital twin doesn’t just write for you. It learns when to speak, when to stay quiet, and how to preserve your judgment under scale.

If you want the full breakdown, read:
What Is an AI Digital Twin? (For Founders, Creators, and Operators)

Final Thought

The real risk with AI isn’t sounding artificial.

It’s sounding average.

Training AI on your writing style only works when you train it on your judgment, not just your words.

FAQ

What does “AI writing in my voice” actually mean?

It means preserving how you think and decide, not just how you phrase sentences.

True AI voice matching captures:

• Restraint

• Preference

• Opinion strength

• Consistency over time

Most tools only copy surface-level writing patterns.

Why does AI trained on my writing still sound generic?

Because most systems learn text, not judgment.

They don’t understand:

• What you would ignore

• When you stay brief

• When you push back instead of agreeing

Without these signals, AI defaults to average responses.

How do you train AI on your writing style correctly?

Proper training requires:

• Behavioral patterns over time

• Examples of what not to say

• Context around when you choose silence

This produces fewer but more accurate outputs.

Is AI voice the same as voice cloning?

No.

Voice cloning usually refers to audio.
AI voice for writing refers to tone, cadence, and decision patterns in text.

Can AI learn personal judgment?

Yes, but only if the system is designed to learn preference rather than personality.

Judgment shows up in:

• Selective engagement

• Consistent boundaries

• Repeated patterns across contexts

This is the core of an AI digital twin.

Who benefits most from AI voice training?

AI voice training is most useful for:

• Founders building in public

• Growth and GTM operators

• Creators who value consistency

• Professionals active on X and LinkedIn

If your reputation is tied to how you communicate, voice matters.

Never Be the Hero

Most people misunderstand leadership.

They think it’s about visibility.
Being impressive.
Being the person in the room with the answers.

That instinct is natural—and wrong.

The fastest way to lose trust is to make yourself the hero.

The Hero Trap

When you position yourself as the hero, a few things happen immediately:

• Your audience becomes passive

• Your team waits for direction instead of ownership

• Your customers feel sold to, not supported

Heroes take up oxygen.
And leadership isn’t about being admired—it’s about being trusted.

Who the Real Hero Is

If you’re leading something real, the hero is never you.

Your audience is the hero.
Your customer is the hero.
Your team is the hero.
Your mission is the hero.

They’re the ones taking the risk.
They’re the ones doing the work.
They’re the ones who have to win.

The Quiet Role of a Leader

Your role is quieter—and far more powerful.

You’re the guide.

You don’t steal the spotlight.
You don’t need to narrate your importance.
You don’t need to be the smartest person in the room.

Instead:

You provide the map.
You remove friction.
You clarify direction.
You make winning inevitable.

That’s real leverage.

Why Guides Win Long-Term

Heroes get remembered.
Guides get followed.

And there’s a critical difference.

People remember heroes from a distance.
They follow guides up close.

Followers don’t come from charisma.
They come from clarity.

When people trust that you’re there to help them win—not to win through them—momentum compounds naturally.

What This Looks Like in Practice

In leadership, this means:

• Designing systems that work without you

• Making others look capable, not dependent

• Measuring success by outcomes, not attention

In business, it means:

• Selling transformation, not ego

• Teaching customers how to succeed without constant hand-holding

• Building trust before asking for anything in return

In life, it means:

• Fewer speeches, more direction

• Less performance, more presence

Final Thought

Being the hero feels good in the short term.

Being the guide builds something that lasts.

And in the long run, being followed beats being admired—every time.

Editing Content

You can choose to set up different types of input fields depending on your content. For instance, a blog might have a title, a slug, and a long-form field for formatted content. These may be different for a product directory or a photo blog, where you may need to add an image field. To edit the fields each CMS item will have, click on any of the column titles. This will trigger a modal to add new fields, where you can also re-arrange the fields or modify or delete the existing ones.

Adding Content to the Canvas

After setting up the content, go back to the canvas. Your collections are accessible from the Insert menu. Open the Insert menu, navigate to the CMS Content section, and drag and drop your collection onto the canvas. This will add a special stack with layers connected to your data. From here, you can edit the visual properties on the right, just as you would do with a regular Stack.

Add a Page with Content

If you wish to add a page instead that will automatically be populated with data from the CMS, navigate to the left panel. One you are in the Pages tab, click on the + button next to the CMS section. If you add the Index page, a page will be added with a list of all of the items in your collection. If you add the Detail page, you will be presented with a page with content from your individual items.

Note: If you chose to add the sample data, a new detail page called /blog will be added to your website, and you will find the stack of content added into the page for you.

The detail page will display content pulled from the first entry of the collection by default. In order to preview other items in the collection, change the content by selecting a different item from the dropdown menu.

Reference Fields

To add Pagination, select your Collection List, click on Pagination, select one of the two options, then pick how many items to load. Pagination also works with existing Limits and Start Offsets. Both the Spinner and Button are completely customizable, and you can pick any Variant for their Loading states. The Spinner itself is just a layer with a conic gradient and a Loop Effect, so you get full control. Adding Pagination helps make your blogs and changelogs much faster to load, especially when they contain dozens of items.

• Infinite Scrolling with custom Spinner component

• Load More Button with custom Button component

• Enjoy freeform positioning of both components

• Design your own Loading and Hidden states

• Make your CMS Pages much faster to load

Filtering

We've added the ability to filter your collection lists in the CMS. This allows you to keep your content in a single collection, yet customize how that collection is presented on each of your web pages. For example, if you're creating docs for your app, you might want to filter articles per topic on your homepage. Or when creating a blog, you might want to filter your blog posts per category.

New This Month

This quality update brings canvas and layer panel improvements. We've updated the Component symbol throughout the app to differentiate it from Grids. Plus, we've made Primary Breakpoints and Variants more distinct in the left panel, making it easier to see if you're editing the primary or an instance. Breakpoints will now also show the ranges in the layer panel. See more updates below.

From January

Last month, we added support for automatic tinting and new layout options for components, plus a whole lot of fixes and improvements. If you give your Page a Fill color, this will now also tint browsers like Safari and will ensure you don't get plain white backgrounds when overscrolling on any mobile device. Plus, we've added support for Min Max sizing to all Smart and Code components, greatly simplifying many common layouts and patterns. See the full changelog below.

• We automatically set the body background, based on your Page's fill color

• You can now override the body background and customize per breakpoint

• We now support Min Max sizing for all Smart and Code Component

• We now consistently show the Min Max hint within the property panel

• You can now use all alignment options for layers with Position set to Fixed

• We now inform you if a parent layer height changes due to layout edits

• We improved the Radius and Padding controls, no longer resetting values

• Number inputs split in four no longer show steppers, so longer values fit

• We improved Appear Effects using Scale with Spring transitions

Prepare your CSV file

Make sure your file is exported as a "CSV" file, also known as a "Comma Separated Values" file. If you encounter any issues you'll want to verify your file is UTF-8 encoded and less than 5mb. If your file is larger than that, try removing columns you may not need. See below for additional information on specific fields.

Tip: You do not have to import every column from your CSV. Only fields set up in your CMS collection in the next step will be imported.

Rich Text Fields

Formatted text content needs to be formatted as HTML. Many tags are supported, such as paragraphs and headers <p>,<h1>, <h2>), formatting (<em>, <i>, <strong>), links (<a>), lists (<ol>, <ul>, <li>) and images (<img>). Images from URLs will be automatically downloaded from their original source and imported into Framer.

Image Fields

Images in your CSV content must be URLs to an image. They will be downloaded and imported into Framer. Relative paths are not supported.

Date Fields

Recommended format is ISO8601 compliant, for example: 2023-12-17T14:42:00. The shorthand value of year-month-day is also supported, for example: 1982-12-01. Long format strings may work, but will depend on your browser, for example: Tue May 12 2020 18:50:21 GMT-0500 (Central Daylight Time). All time data, including time zone information, will be stripped from the date.

Color Fields

A color formatted as CSS hexadecimal RGB code, rgb, hls or hlv expression, or a named color. All variants with an alpha value are also supported. Examples: #00ffee, rgb(0, 153, 255), hsla(204, 100%, 50%, 0.5), blue, darkgreen, rebeccapurple.

Toggle Fields

A boolean value. Y, yes, TRUE, 1 will be interpreted as the toggle being "Yes", all other values will be "No".

Prepare your CMS Collection

Here is a checklist to prepare your CMS collection for importing.

1. Verify each field/column in your CSV has a matching field in your CMS collection with the same name.

2. Include a unique field for each item, often named "Slug"

3. Verify that your data types match (eg. a CMS Date field for a date field in your data)

Tip: Framer uses your Slug field to identify each item, and will use it to update that item with repeat imports.

Import your CSV file

You can find the Import feature by going to the CMS in your project, and clicking "Import" in the toolbar. From there, you can select your CSV file for importing. You may also drag & drop your CSV file directly into the CMS collection interface.

Tip: Importing supports Undo / Redo actions. If you're not happy with the import, you can simply undo the change with CMD+Z on MacOS or CTRL + Z on Windows. Redo will not re-run the import, but instantly apply the changes to the collection.

Updating or Re-Importing

To update your content, you can import into the same collection again. If any item in the new import has a slug field that matches one of the items in your collection, you will be able to update it or skip importing it again.

Choose Compelling Topics

Use analytics tools to understand demographic data and user behavior. Tailor your content to address audience needs and interests, solving their specific problems. Conduct keyword research with tools like Google Keyword Planner or SEMrush. Analyze industry trends and competitors to select relevant and trending topics that improve SEO. Utilize headline analyzers like CoSchedule's Headline Analyzer. Craft titles that are clear, specific, and contain high-ranking keywords. Use power words to increase click-through rates.

Organize Your Content

Implement a clear structure using HTML tags for headings (H1, H2, H3) and lists (<ul>, <ol>). This enhances readability and SEO. Leverage CSS for formatting to improve UX. Embed high-quality images, infographics, charts, and graphs. Use Framer for creating visuals and optimize them with alt text for SEO. Ensure they are mobile-responsive. Place keywords naturally within the content, especially in headings and subheadings. Optimize meta descriptions, image alt texts, and use internal and external links.

Pagination and SEO

Consider adding pagination for extensive content lists, enhancing performance by reducing load times and improving user experience by making large amounts of content more readable and navigable. Additionally, pagination benefits SEO by facilitating easier search engine crawling and reducing bounce rates. By selecting a list of content coming from the blog, you can click the blue plus icon at the bottom to add infinite scrolling or a load more button. If you add pagination with infinite scrolling, try to avoid positioning layouts like pivots and footers below the loading content. This will help minimize layout shifts, thus not harming SEO.

Monitor Performance

Utilize the built-in Framer analytics to track performance metrics and adjust content strategy based on data insights. By combining these best practices with technical best techniques, you can create a blog that not only engages and informs but also performs well in search rankings and user engagement. Happy blogging!