Google

Google, the King of Search, Is Losing Its Crown to Meta

Google, the King of Search, Is Losing Its Crown to Meta

Meta might out-earn Google in ads for the first time. Is the search engine becoming a relic of the past?

Google has owned the top spot in digital ads for twenty years. We almost forgot that anyone else could lead, but according to a new report, Meta is poised to overtake Google in 2026.

That is a sign that the search era is officially about to end.

Google’s problem is simple: search is a chore. You have to know what you want, type it in, and hunt for a link. Meta figured out that most of us are just bored.

The tech giant’s AI tools, especially Advantage+, now predict what you’ll buy before you even think of it. They’ve turned your idle time into a more efficient sales machine than Google’s intent.

Here is the nuance most people miss. Google is currently fighting a two-front war.

On one side, AI like ChatGPT and Perplexity are killing the classic search bar. On the other hand, Meta is turning every Reels scroll into a checkout counter. Google feels like an old-school library in a world that wants a personalized mall. They are struggling to protect their old business while Gemini still hasn’t figured out how to make ads feel natural in a chat.

But this could mark a structural decline for Google.

Google built an empire on the “Blue Link,” but the link is dying. Meta has spent billions to ensure you never have to leave their apps to find something new. So, if Google doesn’t reinvent the fundamental way people discover things? They are going to spend the next decade chasing Meta’s tail.

We might be reaching a point where we trust an algorithm’s suggestions more than our own search results.

Community Building in B2B SaaS

Community Building in B2B SaaS: Guiding More than Emotions in Buyers

Community Building in B2B SaaS: Guiding More than Emotions in Buyers

No one tells your story better than your customers. All the marketing narratives revolve around a customer’s perception of your product- that’s how relatability and resonance come to be.

Apple remains the unparalleled name in this category.

There are very few brands that can boast or are constantly in the headlines for their cult-like users- Apple is one of the countable few. The manufacturer has cultivated its products around its user community- evangelists and enthusiasts alike.

It’s not as if Apple needs the PR, but if it wants to get up on the leaderboard? That is its competitive edge: word-of-mouth from steadfast brand evangelists psychologically tethered to the brand. For the brand, it’s about retention and reducing churn, while for the users, ‘community’ holds a distinct persona.

When customers become part of a brand community, they earn a differentiator status. They build relationships with similar customers, so switching to competitors means losing all those perks.

And Apple’s community remains unparalleled. It’s a self-sustaining loyalty engine that brands spend thousands trying to replicate.

However, emotions rarely guide customers in B2B SaaS, where decisions are typically driven by structured SaaS market segmentation strategies and business needs.

There must be value that goes beyond profitability, but that value isn’t the psychological effect of belonging to a community. The “switching costs versus community identity” argument doesn’t land here.

Enterprise buyers operate on procurement logic. They must navigate approval chains and answer to finance teams that want hard ROI numbers, which is why tools like B2B SaaS contract management software become essential in the process. not a sense of belonging.

So, does community building matter in B2B SaaS? It does, but for entirely different reasons.

The Space for Community Building in B2B SaaS

Enterprise deals rarely close through a single conversation. They’re won and retained through internal champions: the practitioner fighting for your product in budget reviews, sends the Slack message that says “we can’t move off this tool,” and trains the new hire without being asked to.

Community is one of the most reliable ways to create those champions at scale, similar to how SaaS influencer marketing strategies build credibility through trusted voices.

It’s not about learning how to use a product.

Is that what happens when a power user finds a solution to a complex problem in your community forum, earns recognition for answering someone else’s question, or gets cited in a webinar your team runs? They’re building an identity around it.

That identity is what makes them an internal advocate, not a passive subscriber.

That’s the distinction worth making. It’s not emotional attachment to a brand but a professional identity built around mastery and visibility. Being known as the person who “knows the platform inside out” carries real career value for all practitioners.

And community is where that reputation gets built and reinforced over time.

Demand Gen Before the Sales Call

Enterprise buyers conduct their research before they engage with sales, often influenced by a mix of paid vs organic marketing in SaaS channels. They read threads. They watch what practitioners say on LinkedIn. They understand the questions asked in communities, and more importantly, how those questions are being answered and by whom.

Your community shapes that pre-sales perception in ways that advertising simply cannot.

A well-indexed forum thread where a practitioner solves a real problem is more credible than any product page you’ll ever write. It’s third-party validation at the exact moment a buyer is deciding whether your product is even worth a demo.

It is demand gen through earned trust, and it compounds, much like insights highlighted in SaaS marketing statistics around long-term growth channels.

Every answered question, every use case shared, every integration tutorial posted becomes a permanent asset.

Unlike a paid campaign that stops the moment the budget stops, community content remains effective, which is why balancing it with SaaS marketing budget allocation strategies is critical. It surfaces in search. It gets shared in Slack channels you’ll never have access to. It circulates in the exact peer conversations that actually move enterprise buying decisions.

For B2B SaaS teams operating with lean marketing budgets or targeting niche technical buyers, this matters enormously.

Your community can reach practitioners not accessible through traditional channels. And they trust each other far more than they trust your marketing team.

Market Expansion Within Accounts

One of the most underrated plays in enterprise SaaS is account expansion- getting more teams inside an existing customer to adopt the product. It’s high-ROI, low-acquisition-cost growth, and most SaaS companies leave it largely to chance or to their customer success team alone.

Community accelerates this without your sales team involved at every step, similar to how scalable models like SaaS affiliate marketing drive distributed growth.

When employees at the same company share resources, reference the same use cases, and speak a common language built around your product, internal adoption spreads organically.

A finance analyst who sees a colleague in engineering referencing your community’s workflow template doesn’t need a demo. They need to see that other people in their organization are already getting value. And that there’s a place they can go to get up to speed quickly without indexing a support ticket.

Community creates that visibility.

It gives users something tangible to share internally- a tutorial, a solved problem, a discussion thread that does the internal selling for you. That’s not a small thing.

In large enterprise accounts, internal inertia is often the biggest barrier to expansion, and community is one of the few levers that works at the peer level, without requiring your team to orchestrate every conversation.

What This Means for How You Build

The implications here are practical. If demand gen and account expansion are your primary goals, the community you build should look very different from a traditional brand forum.

  • A community optimized for demand generation needs to be public, indexable, and rich with practitioner-level content.

SEO is a feature, not an afterthought. The conversations happening there need to reflect real problems that real buyers are actively searching for solutions to- not curated success stories that read like press releases.

  • A community optimized for expansion needs depth over breadth.

It should be a place where existing customers can effectively leverage the product, share institutional knowledge, and discover capabilities they haven’t yet. Access is often gated, but the value must be high enough that a user thinks to share it with a teammate without a reason.

Most SaaS companies don’t need to choose between these two goals entirely, especially as models like white-label SaaS for business growth expand how companies scale offerings. But they do need to be honest about which one is the bigger constraint right now- are you struggling to get qualified buyers into the pipeline? Or are you leaving expansion revenue sitting inside accounts you already have, because adoption stopped at the team that bought the solution?

The answer to that question should shape everything- the platform you choose, the content you invest in, the metrics you track, and the kind of community manager you hire.

Community building in B2B SaaS is not about turning your customers into fans.

It’s not about replicating Apple’s playbook in a market where buyers read procurement policies before they read product reviews. It’s about turning your best users into the most credible voice in your category, particularly as more industries explore why manufacturers are switching to SaaS and rely on peer validation. and giving the rest of your user base a reason to stay longer and engage others like them.

The impact isn’t merely emotional. It’s on the pipeline. Retention. That’s expansion revenue.

And in a market where every product category is becoming crowded and more commoditized, a well-built community might be the only growth lever that genuinely compounds.

CX Management

CX Management: Understanding Your Customer’s Flow

CX Management: Understanding Your Customer’s Flow

CX management has been reduced to a checklist of channels. The organizations getting it right are asking a different question entirely: where does the experience break, and why does the customer feel it before we do?

The CX conversation has a channel obsession.

Omnichannel. Unified experience. Seamless touchpoints. Every piece of CX management literature circles back to the same argument: be everywhere your customer is, and make sure the experience looks the same in all those places.

This is not wrong. It is just not the thing.

A customer who encounters the same friction across five channels has not had an omnichannel experience. They have had five consistent disappointments. The channel strategy is fine. The experience is not. And no amount of channel unification fixes a flow problem.

What Customer Experience Management is really about

Every customer has a journey. Not the journey map your team built in a workshop with color-coded post-its, but the real experience that unfolds beyond structured customer journey mapping exercises. The actual path they take from first encountering your brand to deciding on using what they bought to deciding whether to stay.

That path has momentum, and it has places where the momentum stops.

Flow is the state where movement through that journey feels natural, something that effective customer journey orchestration aims to achieve across every interaction. The customer finds what they need before they have to think too hard about finding it. The next step is obvious. The information arrives before the question fully forms. There is no moment where they have to stop, recalibrate, and decide whether to continue.

Friction is everything that interrupts that, often rooted in a lack of visibility that customer analytics can help uncover and address. A form that asks for information that the customer already provided. A page that loads slowly enough to notice. A support experience that requires re-explaining a problem that should already be in the record. A product that requires documentation to understand when it should not.

Friction is not always visible on a dashboard. But the customer feels it in the body before they can name it in a survey. They just know the experience felt harder than it should have been. And that feeling is the thing that decides whether they come back.

Where do customers spend more time than they should?

How can data analytics reveal those inefficiencies in real time? This question is where CX management gets honest.

Not where do customers spend time. Where do they spend more time than the task actually requires?

A customer who spends four minutes finding a phone number on a website spent three minutes and forty seconds in friction. A customer who has to re-enter a shipping address they already saved spent twenty seconds in friction. A customer waiting on hold after navigating an IVR that sent them to the wrong department spent however long that took in friction.

None of these register as catastrophic on their own. That is the problem. Friction accumulates below the threshold of the individual incident. No single moment is bad enough to document. The aggregate is what erodes the relationship.

The mapping exercise that matters is not a journey map. It is a friction inventory. Go through every interaction point a customer has with your organization and ask one question: does this take longer than it needs to? If yes, why? And what is the customer experiencing while they wait for it to resolve?

The answers to those questions are a CX roadmap that will do more for retention than any channel expansion.

Why do you encounter friction?

Friction has three parents, and they are rarely the ones who get held accountable.

Organizational design. Most friction is the customer experiencing an internal boundary that was never their problem to navigate. Sales owns the pre-purchase experience. Customer success owns onboarding. Support owns service requests. Product owns the tool itself. Each team optimized their piece. Nobody optimized the handoff. The customer crosses those handoffs constantly and feels the seams every time.

The payment portal that looks different from the product they logged into. The onboarding email that references account details that have not been set up yet. The support rep who cannot see the sales conversation and asks the customer to repeat context that has been repeated twice. All of these are internal coordination failures wearing a customer experience face.

Assumptions about what the customer already knows. often stem from gaps in understanding customer behavior and psychology. Every organization knows its own product better than any customer ever will. That asymmetry creates friction when the organization designs for the level of familiarity they have rather than the level the customer actually arrives with. Documentation that uses internal terminology. Error messages that describe the technical problem without explaining what to do about it. Onboarding that assumes comfort with concepts that need to be explained.

The customer is not the one who failed to understand. The experience is the one that failed to explain.

Speed mismatches. Speed mismatches often emerge when marketing automation prioritizes efficiency over actual customer readiness. The customer is moving faster than the process allows. Or the process is moving faster than the customer is ready for. Both create friction in different directions.

A checkout that requires account creation before purchase is a process moving at the wrong speed for a first-time buyer. An automated onboarding sequence that sends three emails in the first day before the customer has logged in once is a process moving faster than the customer is ready for.

Matching process speed to customer speed is one of the most underrated CX improvements any organization can make.

Is your experience only digital?

This is the question that most CX frameworks skip, because digital is measurable and tangible is harder to quantify.

But brand is tangible. The customer holds it in some form, even when there is no physical product involved.

Think about what a customer actually carries with them between interactions with your brand, which ultimately shapes your customer value proposition. Not the app, not the website, not the email. The feeling they have about the organization. The story they tell themselves about whether they trust it. The memory of the last time something went well or badly.

That is the tangible brand. It is not a logo or a color palette. It is the residue of every experience accumulated into something the customer reaches for when they have to make a decision.

And here is what the digital-only view of CX misses: the tangible brand is built as much in the moments where nothing happens as in the moments where something does. The package that arrived better than expected. The email that remembered something personal about the account. The support conversation that ended with the problem actually resolved rather than technically closed. The renewal notice that arrived without a single piece of surprise pricing.

These moments are not digital or physical. They are human. They are evidence that the organization is paying attention.

The brands that customers hold onto are the ones that gave them something to hold. A story. A consistent experience of being understood. A track record of doing what they said they would.

Omnichannel is how you show up in the right places. Tangible brand is why the customer is glad you did.

The CX metrics that actually tell you something

Most CX dashboards measure satisfaction after the fact, even though advanced customer analytics platforms can provide deeper, real-time insights. NPS asks whether the customer would recommend. CSAT asks whether they were satisfied. CES asks whether the interaction was easy.

All useful. None of them tell you where the flow broke or why.

The metrics worth building are the ones that catch friction in motion.

Time-on-task. becomes more meaningful when analyzed through customer journey analytics that track behavior across touchpoints. How long does it take a customer to complete a specific action in your experience? Not the action as you designed it but as they actually do it. The gap between your assumption and reality is a friction map.

Drop-off at transition points. Where do customers leave a flow they started? A high drop-off rate at a specific step is not a mystery. It is a signal that something about that step is harder than what came before it. Find the step, understand the difficulty, remove it.

Repeat contact rate. If a customer contacts support and then contacts support again within seven days, the first interaction did not resolve the actual problem. It resolved the surface problem and left the root cause. Repeat contact rate is one of the most direct measures of CX quality available, and most organizations track it loosely if at all.

Silence. can be better understood when organizations unify their data through a customer data platform. The customer who stopped engaging and did not complain. Did not submit a ticket. Did not fill out the survey. Just quietly reduced their usage and eventually churned. This customer had a CX problem the organization never saw because the feedback channels only catch the people who feel strongly enough to respond. The rest leave without a data point.

Monitoring for early churn signals, engagement decline, feature abandonment, these are the early warning systems for a CX problem that has not escalated to a complaint yet.

The CX function most organizations have not built

There is a version of CX management that is a reactive function, often disconnected from broader customer success strategies. Something goes wrong, someone investigates, the experience gets patched.

There is another version that is a proactive one. A function that sits across the organization’s internal boundaries and is responsible not for any single touchpoint but for the coherence of the whole experience. That function maps the flow. It identifies the friction before it accumulates. It represents the customer in conversations where the customer is not in the room.

Most organizations do not have this function in a meaningful form. They have CX-adjacent roles scattered across teams that optimize locally. The customer experiences the aggregate.

Building that function is not a technology investment. It does benefit from alignment with customer acquisition strategies that ensure consistency from the first touchpoint. It is an organizational commitment to the idea that the experience as the customer lives it matters more than the experience as any individual team designed it.

That commitment changes what gets measured, what gets prioritized, and what gets fixed before the customer has to ask.

The customer flow does not care about your org chart. CX management that does not account for that will keep optimizing the wrong thing and wondering why satisfaction scores are not moving.

Commvault's

Commvault’s Plan to Secure the AI Workforce, but Can Users Really Trust It?

Commvault’s Plan to Secure the AI Workforce, but Can Users Really Trust It?

AI agents promise to run our businesses, but can we really trust them with the keys to the castle if our underlying data is still a mess?

Several businesses are currently stuck in a look but don’t touch AI phase. They love the idea of autonomous agents handling their boring work, but they are terrified of those agents going rogue or leaking user data.

And Commvault just launched a suite of tools aimed directly at this fear. They’re calling it agentic transformation, but really, it is building a digital fence around a company’s most sensitive assets- user data.

The problem with AI agents is that they are only as good as the data they consume.

If your data is messy, biased, or poisoned by a previous breach, your intelligent agent becomes a liability.

Commvault is pivoting from simple backup to what they call the “Cleanroom Recovery.” It will offer companies a safe and isolated space to test their AI workflows before presenting them to the real world. It is a dress rehearsal for the digital workforce.

This move highlights a massive shift in the industry.

Data protection was the boring insurance policy you hoped you would never use for a long time. It’s now the foundation for productivity. If you can’t trust your data, you cannot use AI. Commvault is betting that the demand for clean data will surge beyond our imaginations- and it’ll govern the next AI phase.

So, they are removing the main reason boards say no to new tech by integrating security checks directly into the AI pipeline. It’s a pragmatic play.

They are promising control- and that’s better than magic. In an era where a single bad prompt can cause a corporate disaster, that control might be the most valuable product in the pocket.

Masayoshi

Masayoshi Son’s Key to Racing Ahead: SoftBank Moves into the Physical World

Masayoshi Son’s Key to Racing Ahead: SoftBank Moves into the Physical World

SoftBank is moving past the screen to build AI that actually moves and works in our world. Does Masayoshi Son finally have the key to the physical future?

Masayoshi Son is tired of betting on apps and chatbots.

SoftBank’s new physical AI company is a massive pivot from screens to reality. He is no longer interested in an AI that merely writes poetry. He wants one that can pack a box, scrub a floor, or assist a surgeon.

It’s about giving the brain of AI a physical body.

And the timing is the real story here.

The world is losing out on workers, and labor is becoming expensive. Son isn’t just building tech; he’s building a workforce that doesn’t sleep. Since SoftBank already owns Arm, they have the hardware foundation to pull this off. They aren’t just making the brain; they also own the nervous system.

But moving from digital to physical carries significant risk.

When a chatbot hallucinates a fact, it’s a funny screenshot. Whereas if a 500-pound robot hallucinates its path in a hospital, it will be a massive disaster. The edge cases of the real world are messier than a text prompt.

That’s Son’s ultimate go big or go home play. He’s betting that the real money isn’t in the cloud. If he’s right, SoftBank won’t just be an investment firm; it will be the world’s biggest landlord for robotic labor.

Enterprise SaaS Marketing

Your Enterprise SaaS Marketing Playbook is Driving Buyers Away

Your Enterprise SaaS Marketing Playbook is Driving Buyers Away

Most enterprise SaaS marketing is a performance. Marketing teams hit their lead targets. Sales teams miss their revenue numbers. Everyone blames each other. The board gets frustrated. This cycle repeats every quarter because the playbook is thirty years old.

The world changed. Enterprise buyers have changed. But marketing tactics stayed in 2005.

Brands continue to treat a million-dollar software purchase like a retail impulse buy. They focus on the incorrect audience, metrics, and goals.

So, if you want to really fix your revenue, you must stop doing what everyone else is doing. Here is the reality of enterprise SaaS marketing today.

The MQL is a Vanity Metric

Marketing teams love the MQL. It is easy to track. It looks great on a bar chart. You get a name and an email. You call it a “lead.” If you want a more effective qualification approach, explore better frameworks for SaaS marketing lead scoring.

Your sales team hates them. They know that an MQL is usually just someone who wanted a free PDF. That person has no budget. They have no authority. They probably used a fake phone number to bypass your form.

When you optimize for MQLs, you optimize for volume. You don’t optimize for intent. You flood your CRM with low-quality data. Your sales reps waste hours chasing people who will never make the purchase. That’s not marketing. It is an expensive game of tag.

Stop measuring clicks and downloads. Start measuring pipeline velocity. Focus on how fast an account moves from “aware” to “closed-won.” If your marketing doesn’t shorten the sales cycle, it is failing. Many teams still rely on outdated approaches to lead generation for SaaS that do not reflect buying intent.

You Are Selling to a Mob

Most SaaS companies market to a single persona. They build a “buyer profile” for a manager or a director. They send that person a bunch of emails. They think that is enough. This often happens due to poor SaaS market segmentation strategies.

In the enterprise, a single person never makes the call. You are selling to a committee. There are ten or fifteen people involved. You have to convince the end-user, the IT director, the security lead, and the CFO.

If you only convince the end-user, the security team will kill the deal at the last minute. If you only convince the director, the finance team will veto the budget.

Your marketing must address the entire committee. You need content for the skeptic. You need data for the analyst. You need a business case for the executive. Aligning this effort requires a well-structured SaaS marketing budget. If you aren’t visible to all fifteen people, you don’t have a deal. You have a conversation that will go nowhere.

Gated Content is a Tax on Your Brand

The “gate” is a relic of the past. You write a whitepaper. You hide it behind a form. You think you are “capturing” a lead. Many brands still follow outdated digital marketing for SaaS practices that prioritize form fills over value.

In reality, you are just annoying your best prospects. High-level executives do not fill out forms. They value their privacy. They know that a form fill leads to five voicemails and ten emails they didn’t ask for.

When you gate your best content, you prevent your buyers from learning about you. You spend thousands of dollars on ads to engage people on your site. Then you stop them from reading your best ideas. The logic falls apart.

Ungate everything. Give your insights away for free. If your ideas are good, the buyer will trust you. They will come back when they are ready to solve their problem. Trust is a better lead magnet than a PDF. This is the foundation of strong thought leadership in SaaS marketing.

Dark Social is Where the Real Deals Happen

Attribution software is a lie. It tries to tell you exactly where a customer came from. It says, “They clicked a Google ad.” So you spend more on Google ads.

But that is rarely the whole story. The buyer probably heard about you six months ago on a podcast. They saw a peer recommend you in a private Slack group. They read a post from your CEO on LinkedIn.

These interactions happen in dark social. They are untrackable. Because your software can’t see them, your marketing team ignores them. This is why modern strategies like SaaS influencer marketing are gaining traction.

That is a massive mistake. The most influential conversations about your brand happen where you can’t see them. You need to be present in those spaces. You must create content that people actually share with their colleagues in private DMs. Leveraging channels like social media marketing SaaS tools can help amplify that reach. Stop trying to track every click and try to be the most talked-about solution in your niche.

Show the Product

The most frustrating part of buying enterprise software is the discovery call.

A buyer sees your site. They like what they read. They want to see the UI. They click your CTA. Instead of a demo, they get a calendar link. They have to wait three days to converse with a junior SDR who asks them ten qualifying questions. They still haven’t seen the product.

This friction kills deals. Buyers are busy. They want to know if your software can do what it says. They want to see the dashboard. They want to see the integrations.

Ungate your product. Use interactive tours. Use video walk-throughs. Let the buyer perceive the software before they talk to sales. If your product is actually good, be proud to show it.

Buyers assume it’s because the UI is terrible or the product is unfinished if you hide behind sales.

Become a Buyer Enablement Machine

Your “lead” is usually your champion. The prospect wants your product, but must return to the office and fight a war to get it approved. They have to present to a board. They have to justify the cost to a skeptical CFO. Your “lead” is usually your champion. The prospect wants your product, but must return to the office and fight a war to get it approved. Supporting this journey can also involve strategies like SaaS referral marketing to build internal trust. Your “lead” is usually your champion. The prospect wants your product, but must return to the office and fight a war to get it approved. They have to present to a board. They have to justify the cost to a skeptical CFO.

Most marketing teams leave their champion to fight solo. They send them a generic brochure.

You need to give your champion weapons. Offer them a customized pitch deck they can use internally. Give them a security FAQ for their IT lead. Give them an ROI calculator that speaks the language of their finance team.

Your job is to make your champion look like a hero in their own company. If you help them win their internal battles, you win the deal. That’s buyer enablement. It is the most effective form of marketing in the enterprise sector.

Stop Using Jargon

“Leverage,” “synergy,” “digital transformation.” These words mean nothing. They are placeholders for actual ideas.

Enterprise buyers are tired of being marketed to. They want clarity. They want to know precisely how you will save them time or make them money

– they want value.

Write as humanly as possible. Write as you speak. If you can’t explain your value proposition to a ten-year-old, you don’t understand it well enough. Be direct. Be concise. Avoid the corporate fluff that clogs up every SaaS website. Clarity is a competitive advantage.

The Shift to Account-Based Revenue

B2B marketing shouldn’t be about leads. It should be about accounts.

A lead is a person. An account is a business. You don’t sell to people. You sell to businesses.

Your marketing and sales teams should be one unit. They should agree on a list of target accounts. Marketing should surround those accounts with relevant content and ads. Sales should be followed up with personalized outreach.

When marketing and sales act as a single team? The results are predictable. But when they act as separate departments with separate goals, the results are chaotic. Align your metrics to revenue, not activity. This alignment is critical in modern SaaS startup marketing strategies.

The New Playbook

This new enterprise SaaS playbook is simpler. Be transparent. Be helpful. Remove friction.

  1. Ungate your content. Build authority through education.
  2. Ungate your product. Let buyers see what they are buying.
  3. Focus on accounts. Ignore the vanity of individual leads.
  4. Enable your champion. Offer the tools to market for you.
  5. Acknowledge Dark Social. Invest in brand and community.

Savvy marketers realize that companies that win enterprise marketing must respect the buyer’s time and intelligence.

The era of tricking people into your funnel is over. Marketers must begin helping accounts with how to solve for. It’s a slower process, but the deals are bigger and the relationships last longer.

Marketing is no longer about who can scream the loudest. It is about who can be the most useful. Fix your strategy. Shorten your sentences. Focus on the buyer. The revenue will follow.