by Lori Berson | Aug 12, 2026 | AI, artificial intelligence, Marketing, marketing technology
Key Takeaways
- AI use is already widespread in marketing and is growing quickly among organizations. Individual AI productivity is far more common than true workflow automation.
- The best starting point is a business bottleneck, not an AI tool.
- Poor processes should be fixed before they are automated.
- AI performance depends on good data, clear rules, ownership, training, and human review.
- Not every task should be automated.
- Start with one high-value, manageable workflow.
- Establish a baseline, measure the outcome, and expand only after the workflow proves useful.
- The long-term advantage will not come from access to AI. It will come from how well the company applies it.
AI adoption is no longer the issue I’m most concerned about. What concerns me is how many companies are using AI without knowing whether it is actually improving the business.
Employees are drafting emails, researching competitors, summarizing meetings, creating content, analyzing information, and experimenting with AI features inside the software they already use. That is progress.
But there is a big difference between using AI and building a better business with AI.
Recent research shows that AI adoption is already widespread. Salesforce’s global survey of 4,850 marketing decision-makers found that 75% of marketing organizations were either experimenting with or had fully implemented AI. High-performing marketing teams were 2.5 times more likely than underperforming teams to have fully integrated it.
A government census revealed small businesses are moving in the same direction. SMB AI use shows that employees are increasingly using AI for writing, research, marketing, customer-facing work, and recurring administrative tasks. Yet according to the U.S. Chamber of Commerce Foundation 2026 study, only 6% of small-business workers report using AI to automate workflows with minimal human involvement.
That is the gap I think business leaders should be paying attention to.
The next stage of AI is not getting employees to try it. It is about figuring out where AI can improve how the company actually works.
Using AI Is Not the Same as Integrating AI
Most companies did not begin using AI with a formal strategy. Someone started using ChatGPT. Someone else began using an AI feature inside HubSpot, Salesforce, Microsoft, Adobe, Google, or another platform.
Marketing used it to create content. Sales used it for research and follow-up. Employees began using it to summarize meetings, review documents, or brainstorm ideas. That experimentation has value. It helps people learn what AI can and cannot do. But experimentation eventually reaches a limit.
The U.S. Chamber of Commerce research illustrates that clearly. Among small-business workers using AI, 64% primarily use it for individual productivity, while only 6% use it for workflow automation with minimal human involvement.
The SMB research illustrates that clearly. Among small-business workers using AI, 64% primarily use it for individual productivity, while only 6% use it for workflow automation with minimal human involvement.
Marketing shows the same pattern. AI is now being used for content optimization, content creation, ideation, workflow automation, social strategy, data analysis, and personalization. But implementation maturity, data quality, training, governance, and trust remain significant barriers.
That tells me: The technology is becoming easier. The business application is still the hard part.
Start With the Bottleneck, Not the AI Tool
When business leaders talk to me about AI, the conversation often begins with software.
- Should we use ChatGPT or Claude?
- Do we need AI agents?
- What can we automate?
- Should we connect AI to our CRM?
Those are reasonable questions. But they are usually not the first questions I would ask.
A better starting point: Where is your company losing time, money, accuracy, responsiveness, or opportunity today?
AI is most useful when it solves an existing business problem. For example, a marketing team might be spending too much time:
- Creating versions of similar emails or campaigns.
- Searching for information across documents and systems.
- Repurposing content.
- Preparing campaign reports.
- Updating CRM records.
- Reviewing work for errors or missing information.
- Researching prospects or competitors.
- Following up after meetings.
- Answering the same internal questions repeatedly.
Those are not AI problems. They are business problems that AI may be able to help solve. That distinction matters because companies sometimes buy an AI tool first and then search for a reason to use it.
I recommend doing the opposite. Find the friction first.
Why Companies Get Stuck
The research points to several reasons why businesses struggle to move from experimentation to measurable results.
1. Employees Know How to Use AI, But Not How to Use It Effectively.
Marketers are already using AI, but training has not kept pace. The research shows that 67% of marketers cite a lack of training as a barrier to AI adoption. Other barriers include a lack of AI strategy, skills, ownership, and governance.
This is why I do not think another general “how to prompt ChatGPT” seminar is enough. Employees need training tied to their actual work.
- A marketer needs to understand how AI can support campaign development, content review, segmentation, analysis, and reporting.
- A salesperson may need help with prospect research, follow-up, proposal preparation, and CRM updates.
- A business leader needs to understand prioritization, ROI, risk, implementation, and where human oversight is required.
The real question is not: How do we teach people to use AI?
It is: How should AI change the way this job gets done?
2. Companies Try to Automate Processes That Are Already Unclear
This is one of the biggest mistakes I see.
If a workflow is inconsistent before AI, automation can simply make the inconsistency happen faster.
Consider lead follow-up. Before automating it, the company needs to define:
- What makes a lead qualified?
- Who owns the lead?
- How quickly should someone respond?
- What information is required?
- What happens when information is missing?
- When does a person need to intervene?
- What counts as a completed handoff?
If those questions do not have clear answers, AI will not solve the problem.
The SMB research supports this. Reliable workflow automation requires standardized processes, connected systems, usable data, ownership, testing, and ongoing maintenance. In other words: Do not automate a bad process. Fix the process first.
3. AI Can Only Work with The Information You Give It
This issue becomes especially important in marketing.
AI can help personalize customer communications. But it needs accurate customer information.
It can analyze CRM data. But poor CRM data will produce poor analysis.
It can answer questions from company documents. But only if those documents are current, approved, and accessible.
It can create content quickly. But speed does not help if the content sounds generic, makes unsupported claims, or does not reflect your brand.
Research on marketing AI adoption points to this same problem. Marketers are using AI for increasingly sophisticated applications, but data readiness and trust continue to limit what companies can do with it.
AI implementation is not just a technology project. It is also a data, process, and management project.
4. Nobody Owns The Outcome
Individual AI adoption often happens from the bottom up. Employees discover a tool and begin using it. That’s easy.
Operational AI requires someone to take responsibility for the result. Leadership needs to decide:
- Which AI opportunities are worth pursuing.
- Which tools are approved.
- What information employees can use.
- Where human review is required.
- What success looks like.
- Who owns the workflow.
- How results will be measured.
- When a workflow should be expanded or stopped.
Without that structure, companies can end up with plenty of AI activity but very little business improvement.
The Goal Should Not Be to Automate Everything
There is a lot of pressure right now to automate as much as possible. I think that is the wrong objective. The better question is:
Which parts of the work should AI handle, and which parts become more valuable when people handle them?
AI is especially useful for repetitive, information-heavy, and data-driven work. It can:
- Review large amounts of information.
- Generate first drafts.
- Summarize content.
- Compare documents.
- Find patterns.
- Categorize information.
- Execute well-defined steps quickly.
- Assist with analysis and decision support.
Humans remain essential for strategy, judgment, creativity, context, relationships, accountability, and decisions where the consequences matter. That balance has been central to how I think about AI.
I have used the idea of treating AI almost like an additional FTE. But I think there is an important condition attached to that idea. An AI “employee” still needs a job description, approved information, processes, supervision, quality standards, and performance measures.
You would not hire an employee, give that person access to everything, provide no training, establish no procedures, and assume productivity would improve. Yet that is close to how some companies are approaching AI.
Don’t Boil The Ocean, Start With One Workflow
I recommend choosing one workflow where there is a clear business problem. Then work through these questions.
What happens today?
Document the current process. Do not assume everyone follows the same steps.
Where is the friction?
Look for:
- Repetitive work.
- Delays.
- Errors.
- Rework.
- Poor access to information.
- Inconsistent follow-up.
- Unnecessary manual steps.
- Bottlenecks that depend on one person.
What should improve?
Define the outcome before selecting the technology. That might mean:
- Reducing a four-hour task to one hour.
- Shortening response time.
- Improving accuracy.
- Reducing repetitive work.
- Increasing follow-up consistency.
- Launching campaigns faster.
- Giving employees more time for higher-value work.
Which steps could AI assist with?
Not every part of the workflow needs AI. Sometimes conventional automation is better. Sometimes the process simply needs to be redesigned.
Where is human judgment required?
Create deliberate checkpoints for review and approval. Human oversight should not be an afterthought.
How will you measure the result?
Establish a baseline before making the change. For marketing, that might include:
- Production time.
- Campaign launch time.
- Conversion.
- Engagement.
- Cost per lead.
- Pipeline contribution.
- Errors and corrections.
- Rework.
For operational workflows, measures might include:
- Time saved.
- Turnaround time.
- Error rate.
- Customer response time.
- Employee capacity.
- Accuracy.
This Is Why I Start With an AI Assessment
The BersonDeanStevens AI Opportunity Assessment begins with the business rather than the software.
The assessment reviews goals, systems, workflows, constraints, data handling, risk, employee adoption, and opportunities to improve efficiency, accuracy, access to information, and service. Opportunities are then prioritized based on business impact, implementation effort, risk, and readiness.
The result is a practical roadmap that helps answer four questions:
- Where can AI deliver value?
- What should we prioritize?
- What should remain under human control?
- How will we know if it worked?
That is a much more useful outcome than a long list of AI tools.
Assessment Is Only the Beginning
Knowing what to do does not mean it will get done. I think this is going to become one of the larger AI challenges for organizations.
A management team can identify ten good AI ideas in one meeting. That does not mean the business should attempt all ten.
I recommend selecting one high-value, manageable workflow, then building, testing, measuring, and refining it before moving to the next one. That is the thinking behind the BDS AI Concierge Service.
The AI Concierge Service provides hands-on support to select, build, test, implement, and improve one priority AI-assisted workflow at a time. The service includes working sessions, custom workflows, documentation, support, performance measures, and ongoing guidance on where to focus next.
The objective is not simply to make people better at using AI. It is to build a growing set of repeatable workflows that improve the business.
Access to AI Will Not Be the Competitive Advantage
This is the point I think many companies are missing. Your competitors have access to the same AI models you do. They can buy many of the same platforms. Their employees can use many of the same tools. AI itself is becoming widely available. So access is unlikely to remain a meaningful competitive advantage.
A company that improves its processes, organizes its knowledge, cleans up its data, trains employees, establishes safeguards, and deliberately incorporates AI into high-value work can become faster, more consistent, and more capable.
A company that simply gives everyone an AI account may produce more work without producing better results. That is the distinction I would focus on now.
The first stage of AI adoption was experimentation. The next stage is operationalization. And that takes more than a prompt.
For help turning AI opportunities into practical workflows and measurable business results, reach Lori at lberson@bersondeanstevens.com or schedule a complimentary call.
BersonDeanStevens (BDS) has developed creative, results-driven marketing strategies, content, campaigns, and programs for over 27 years – with AI incorporated where it adds efficiency and lifts results. Whether you need a fractional CMO, assistance for an overloaded team, or strategic counsel from time to time, BDS is your go-to resource. Client list.
by Lori Berson | Jul 16, 2026 | Branding, Creative Services, Design, Marketing, Marketing Strategy
Key Takeaways
- AI has become table stakes in creative production, not a differentiator. Salesforce reports that 75 percent of marketers are using AI to help scale personalization.
- AI-generated design often looks generic because of vague prompts and missing creative direction, not simply because the tool is incapable.
- Audiences are starting to recognize and reject content that feels overly automated or machine-made.
- Brands such as Equinox and Dollar Shave Club are already building campaigns around the cultural tension surrounding AI-generated advertising.
- Strategy must come before AI touches the work. Otherwise, the fastest tool in the world simply produces forgettable content faster.
- Results support a strategy-first approach. One client’s podcast generated more than twice as many leads as any other content format the company had used.
- Hiring senior creative talent is not a rejection of AI. It combines AI’s production speed with the human judgment it cannot generate independently.
Open five competitor websites in a row right now. You will likely see the same headline fonts, the same gradient background, and the same stock illustrations and photos.
You have seen it. So has everyone else.
That is partly because teams are entering similar prompts into the same handful of AI tools, which were trained on many of the same design patterns.
This is no longer a coincidence. It is the default output.
What AI Actually Does Well
It earns its keep through speed and volume. It can produce first-draft layouts, resize assets across 10 platforms, and generate a dozen headline variations in an afternoon instead of a week.
One creative team recently built a full year of campaign imagery from a single photo shoot using AI. That unlocked production capacity that would have been too expensive to staff otherwise.
That is a real advantage. No one argues that AI has not earned a place in the production process.
What AI Does Not Do Well
Researchers examining why so many AI-built websites look identical have repeatedly found the same root causes: vague prompts, no layout structure, few meaningful design constraints, and no clear point of view behind the request.
The tool did not fail. It did exactly what a generic instruction asked it to do. Generic instructions produce generic output. That is not a bug you can patch. It is the nature of the tool.
Unfortunately, when every team uses the same AI tools, the results start to look the same. AI has real limits when it comes to the work that differentiates a brand, because people using the same tools often receive similar suggestions.
Salesforce’s latest State of Marketing research found that 75 percent of marketers are using AI to help scale personalization. When three out of four marketing teams have access to similar tools, simply using AI is no longer a competitive advantage.
It is table stakes.
Audiences have started to notice, too.
Brands such as Equinox and Dollar Shave Club are now building campaigns around the unease and absurdity surrounding AI-generated advertising. Equinox contrasted surreal AI imagery with photographs of real people. Dollar Shave Club used AI to make corporate overreliance on the technology part of the joke.
The two campaigns took different approaches, but both depended on the same assumption: audiences already recognize content that feels overly automated, artificial, or machine-made…which is worth taking seriously.
What once made marketing feel fresh can now look like a red flag when AI is the only force behind the work.
I saw the same pattern up close while working on a project for a nationwide nontraditional business lender.
Asset-based lending is a complicated and unglamorous product to explain. Unfortunately, the most technically accurate explanations often alienate the business owners who most need to understand it.
Before AI touched a single word, we developed the strategy. We determined how to explain complex lending terms in plain language for the specific audience the client serves. Only after that strategy was approved did our copywriter create the six scripts. AI then turned the copy into voice and the voice into finished audio. Production went from weeks to hours.
But AI did not, and could not, decide what needed to be said, who needed to hear it, or how the client should sound.
The newest episode already has more total downloads than most of the episodes that came before it, despite having spent the least amount of time online. That is the kind of growth curve you see when an audience understands what it is hearing and returns for the next episode. Across six episodes, the podcast generated more than twice as many leads as any other content marketing format the client had used previously.
The strategic decisions came first. That is why the finished podcasts sounded like this client rather than every other lender quietly running the same topics through the same tools.
This is the real case for hiring creative talent instead of running your brand through a prompt box alone. It is not because AI is bad. It is because AI is strongest at the part that was never your real differentiator: execution.
AI has no meaningful opinion about the part that matters most:
- What are you trying to say?
- Who are you trying to reach?
- Why should your version be the one people remember?
A senior creative strategist has something no model can provide: judgment developed through experience. They have seen what worked, what failed, and what looked promising but produced no meaningful result across different industries, audiences, and business situations.
The honest argument is not, “Hire a human instead of AI.” It is, “Hire a human who knows how to use AI as leverage, not as a substitute for a point of view.”
That is a smaller and more focused investment than building a full internal department. It is also a very different bet from buying another software subscription. Everyone has access to the same tools now. Access was never going to remain an advantage.
The question is not whether your team uses AI. The question is whether anyone on your team is making the critical decisions that a model cannot make for you.
Ready to find out how a senior-led creative strategy team can help? Schedule a no-cost call with Lori. No pitch. Just a real conversation about what you’re trying to build.
BersonDeanStevens (BDS) has developed creative, results-driven marketing strategies, content, campaigns, and programs for over 27 years – with AI incorporated where it adds efficiency and lifts results. Whether you need a fractional CMO, assistance for an overloaded team, or strategic counsel from time to time, BDS is your go-to resource. Client list.
by Lori Berson | Jun 16, 2026 | Branding, Creative Services, Design, Marketing, Marketing Strategy
Key Takeaways
- Large agency size often means more layers and less access to the senior talent you actually need.
- Small agencies offer direct accountability, faster execution, and senior-level involvement on every engagement.
- Generic, forgettable creative isn’t a design problem; it’s a strategy problem.
- Long-term client relationships are built on trust, follow-through, and results, not just deliverables.
- A 34% sales lift and a 14-year client relationship started with one question: “Will you still be here?”
There’s a conversation I’ve had more times than I can count. It usually starts the same way: a new prospect sits across from me…sometimes in person, sometimes on a Zoom call, and within the first five minutes, they say some version of this: “Our last agency was a disaster. I’m honestly not sure I trust agencies anymore.”
What comes next is rarely surprising. Slow turnarounds. Generic creative. Account managers who promised the moon and delivered very little. And then, at some point, the agency simply stopped responding. As if the relationship had never existed.
I heard this story again a few years ago from the CEO of a global product manufacturer. A company that sells everything from closet organizers to specialty products around the world. He’d hired a large agency to rebrand and redesign his entire product line. What he got back was work that was technically competent and utterly forgettable. Packaging that didn’t move product. Creative that no one remembered. And eventually, silence.
When he found BersonDeanStevens, his first question wasn’t about our portfolio. It was this: “Will you still be here six months from now?”
That question tells you everything about what large agencies get wrong.
The Ratio Nobody Talks About
If you’ve worked on the brand side of an agency relationship, you already know this dynamic. The client team is almost always small. The agency team far outnumbers it, sometimes at a ratio of 10 to 1 or higher. On paper, that sounds like firepower. In practice, it means more people standing between the problem and the people who can actually solve it.
A large team doesn’t produce more progress. It produces more distance.
The real marketing talent hasn’t left the industry. It’s left the large holding companies. And it’s rebuilding in founder-led, creative-driven agencies that are smaller by design, staffed by people who’ve spent decades running large global brands, navigating boardrooms, legal teams, corporate politics, and the specific pressure that lands on a CMO’s desk every Monday morning. They know what works. More importantly, they know what doesn’t.
This isn’t a consolation prize for clients who can’t afford the big shops. It’s a better model.
Big Doesn’t Mean Better
There’s a persistent myth in marketing that agency size equals agency capability. More people, more resources, more firepower. What it actually means, more often than not, is more layers, more hand-offs, more distance between the senior talent who sold the account and the junior staff quietly doing the work.
You pay for overhead that has nothing to do with your brand. You wait behind bigger accounts. And the people you met in the pitch? You’ll be lucky to see them twice a year.
At BDS, when you hire us, you get a senior team with decades of experience on your account, doing your work, every week. No junior layer running the show while the principals collect the retainer. No hand-offs. No disappearing acts.
What Happened When We Got to Work
For our global manufacturer client, we started where we always start: with the problem behind the problem. The old packaging wasn’t just bland; it wasn’t selling. It wasn’t communicating product value clearly enough to move SKUs off shelves or win new contracts. That’s a strategy failure, not a design failure. The look was the symptom.
We rebuilt the brand from the foundation. New packaging system. Cohesive visual identity across the entire product line. Creative that was built to sell.
The results didn’t take long. Branded packaging sales increased by more than 34%. Private label business grew. Military contracts followed. The rebrand opened doors that the old creative had quietly been keeping shut.
And the client? He didn’t leave after the project wrapped. He stayed for over fourteen years, through a second full rebrand. That’s not a vendor relationship. That’s a partnership.
What Small Agencies Actually Deliver
If you’re evaluating agencies right now, or quietly wondering if the one you have is giving you everything you’re paying for, here’s what the research and 27 years of experience tell us small agencies consistently do better:
- Direct senior access. The strategist, the creative director, the person accountable for results – you can reach them today. Not through three layers of account management.
- Genuine accountability. Small agencies don’t have the cushion to coast. If the work doesn’t perform, everyone feels it. That keeps the standard high.
- Faster turnarounds. Fewer approval layers mean fewer delays. Decisions get made by people who understand the full picture.
- Continuity. You’re not reassigned when an account lead changes jobs. The brand’s institutional knowledge doesn’t walk out the door with them.
- Creative that earns its keep. Small agencies can’t hide behind production volume. Every deliverable has to work.
The Question Worth Asking
If you’re paying an agency right now and the results feel flat, you already know something is wrong. The question isn’t whether to make a change. It’s why you haven’t yet.
Small is not a step down. For the right client, it’s the better answer.
Ready to find out what a senior-led, results-accountable agency actually looks like? Schedule a no-cost call with Lori. No pitch. No junior associate. Just a real conversation about what you’re trying to build.
BersonDeanStevens (BDS) has developed creative, results-driven marketing strategies, content, campaigns, and programs for over 27 years – with AI incorporated where it adds efficiency and lifts results. Whether you need a fractional CMO, assistance for an overloaded team, or strategic counsel from time to time, BDS is your go-to resource. Client list.
by Lori Berson | May 13, 2026 | AI, artificial intelligence, Content Marketing, Creative Services, Marketing, Marketing Strategy, marketing technology
Key Takeaways
- AI without strategy is just faster mediocrity.
- Bolting AI onto broken workflows doesn’t fix them, it makes the friction faster.
- Three systems deliver the highest ROI: content pipelines, digital workers, and intelligent lead management.
- The results are documented real client outcomes, not vendor estimates.
- Strategy and creative are now your scarcest assets. Anyone can automate.
- The right AI-integrated marketing pays for itself typically within one to three quarters.
Most companies are aware that AI should be integrated into their marketing. The gap isn’t knowledge, it’s execution. Knowing AI matters and building the systems that prove it are two very different things.
Eighty-eight percent of companies use AI. Only 12% of CEOs see it move the bottom line (McKinsey’s The state of AI report). That’s not a technology problem. It’s a strategy and systems problem, and it’s exactly what BDS helps solve.
Why Bolting AI onto Old Workflows Doesn’t Work
If your team adopted an AI writing tool but still routes approvals by email, formats assets by hand, and publishes manually, you’ve sped up one step in a broken process. The friction is still there. You’ve just reached it faster.
Real integration starts with strategy: knowing which workflows to redesign and which creative approaches will actually differentiate you. BDS brings all three: the strategic direction, creative execution, and the automated systems that deliver both at scale.
Three BDS Systems That Deliver Measurable ROI
- Content Production and Repurposing Pipelines. One asset becomes many, but only when the creative strategy behind it is sharp. BDS develops the messaging and content direction first, then builds the pipeline that turns a single client conversation into an email campaign, five LinkedIn posts, a blog, and a one-sheet. Strategic thinking happens once. Distribution happens automatically.
- Digital Workers. Repeatable tasks, data extraction, CRM updates, document formatting, and plan comparisons are assigned to automated systems that run the same way every time. BDS has cut insurance document analysis from 3 days to 12 minutes. Salesforce data analysis from 2 weeks to 50 minutes. These are live client results.
- Intelligent Lead Management. Systems that track behavior, surface the right content at the right moment, and tell your team exactly who to follow up with and when. BDS designs both the creative assets that move prospects through the funnel and the automated logic that delivers them. Less guessing. More pipeline.
|
Real Results: BDS Client Engagements
Actual before-and-after times from client workflows.
|
| Use Case |
Before |
With AI |
Savings |
| Podcast Production (6-episode series) |
4 days |
6 hrs 21 min |
~94% |
| Multi-Channel Content Repurposing |
3 days |
2 hrs 14 min |
~94% |
| Video Tutorial Creation |
2 weeks |
7 hrs 30 min |
~94% |
| New Business Pitch Deck |
4 days |
3 hrs 20 min |
~92% |
| Insurance Document Analysis |
3 days |
12 min |
~99% |
| Email Campaign from Sales Conversations |
4 days |
5 hrs 48 min |
~85% |
| Insurance Workflow Optimization |
1.5 weeks |
2 hrs 15 min |
~97% |
| Salesforce Data Analysis |
2 weeks |
50 min |
~99% |
| The takeaway: Campaigns that once took weeks and cost $25,000–$75,000 now run in hours for under $5,000 for companies that have rebuilt their workflows around AI (The AI Transformation of B2B Go-to-Market Strategy report). |
Strategy and Creative Are the Differentiators. Systems Are the Delivery Mechanism
AI gave everyone the ability to produce average content instantly. More output is no longer an edge. What separates the winners is the strategy and creativity behind the tools, and most companies are missing one or both.
That’s where we come in. We develop the brand positioning, the messaging architecture, and the creative direction that make the content worth producing. Then we build the systems that produce and distribute it at scale. Strategy without systems stalls. Systems without strategy just move faster in the wrong direction. BDS provides both under one roof.
The marketing we build pays for itself typically within one to three quarters. And it keeps delivering long after the engagement ends.
Want to See Your Numbers?
BDS will build you a custom Digital Worker Opportunity Report, a specific, quantified assessment of what AI integration could deliver for your business, based on your actual workflows and economics. No generic frameworks. Your operations, your opportunity.
You can reach Lori at lberson@bersondeanstevens.com or book a 15 minute call — no pitch, no pressure, just a conversation about what you need.
BersonDeanStevens (BDS) has developed creative, results-driven marketing strategies, content, campaigns, and programs for over 25 years. We also incorporate AI where it adds efficiency and lifts results. Whether you need a fractional CMO, assistance for an overloaded team, or need consulting from time to time, BDS is your go-to resource. Client list.
by Lori Berson | Apr 13, 2026 | Marketing, Marketing Strategy
There’s a counterintuitive truth most marketers learn too late: trying to appeal to everyone is one of the most expensive mistakes you can make. Not just in ad spend – in time, in team energy, in the slow drain of clients who were never a good fit and somehow ended up in your pipeline anyway.
Negative targeting flips that dynamic. Instead of casting the widest possible net, you build messaging that actively signals to the wrong customers: this isn’t for you. And here’s the thing: that signal works in your favor twice. It turns off the people who would have wasted your time. And it turns on the exactly right people.
What Negative Targeting Actually Means
It’s not about being rude or exclusive. Negative targeting is deliberate messaging, language, positioning, and even pricing that filters your audience before they ever get to a sales conversation. Think of it as a velvet rope, not a locked door. You’re not keeping everyone out. You’re creating a clear signal about who belongs inside.
A few examples of what it looks like in practice:
- A law firm that says “We don’t take every case, we take the right ones” is implicitly signaling that clients who need volume discounters should look elsewhere.
- A marketing agency that leads with “We work with companies who have serious growth goals and realistic budgets to match” isn’t being arrogant. It’s being honest, which is a form of respect.
- Instead of “We work with businesses of all sizes,” try “We work with e-commerce brands doing at least $2M in annual revenue who are ready to scale paid acquisition, not just test it.”
The message doesn’t have to be harsh. It just has to be clear.
Why Bad-Fit Customers Cost More Than You Think
Here’s what nobody puts in a pitch deck: the real cost of chasing the wrong business.
Bad-fit customers create friction at every stage. They push back on scope because the value doesn’t match what they were looking for. They demand more support because they didn’t understand what they were buying. They leave negative reviews because their expectations were never aligned with your delivery. And they consume the mental bandwidth of your best people, the ones you need focused on clients who actually benefit from what you do.
There’s also a subtler cost. When you’re scrambling to serve customers who don’t fit, you deliver worse results for the ones who do.
It’s not complicated:
- One bad-fit client can consume the time you’d spend on two good ones.
- Churn from mismatched clients raises your customer acquisition cost (CAC) over time.
- Referrals from happy clients are worth far more than leads from misaligned ones.
- Your team’s morale, and your own, takes a beating when you’re constantly managing friction.
Negative targeting isn’t about turning away revenue. It’s about protecting the revenue that actually compounds.
The Business Case for Repelling the Wrong Audience
When your messaging is built to attract a specific type of customer, a few things happen.
Your close rate goes up. Leads who self-select based on honest, specific messaging are already pre-qualified. The sales conversation starts at a different point, further along, with less friction.
Your retention rate improves. Customers who understood what they were buying and chose you because of it don’t need to be convinced to stay. The match was clear from the start.
Your referrals get sharper. Happy, right-fit clients refer other right-fit clients. That’s not an accident. It’s pattern recognition. They know who you’re good for because they are who you’re good for.
Your team does better work. This is the one that doesn’t make enough spreadsheets. When your clients are a fit, your people are engaged instead of exhausted. That quality shows up in the work.
Key Takeaways
- Negative targeting means crafting messaging that clearly signals who you’re not for, so the wrong customers opt out before they ever contact you.
- Bad-fit customers cost more than their contracts are worth when you account for time, friction, churn, and team bandwidth.
- Specific, honest positioning raises close rates because leads arrive pre-qualified.
- Right-fit customers stay longer, refer better leads, and generate the kind of word-of-mouth that paid ads can’t replicate.
- You don’t need to be harsh to repel the wrong customer. You need to be clear.
How to Build Negative Targeting Into Your Messaging
Start by getting honest about your best clients. Not your biggest, your best. The ones who got results, stayed, referred others, and made your team want to do great work.
Then ask: what do they have in common? Industry, company size, mindset, budget, urgency, internal structure? Build a picture.
Now look at your current messaging. Does it speak directly to that profile? Or does it try to be so broadly appealing that it says almost nothing?
A few practical places to apply negative targeting:
- Your positioning statement. Instead of “We work with businesses of all sizes,” try “We work with e-commerce brands doing at least $2M in annual revenue who are ready to scale paid acquisition, not just test it.”
- Your pricing page. Transparency about investment levels filters out customers who aren’t ready without a single conversation.
- Your FAQ. “This isn’t the right fit for you if…” is one of the most underused tools in content marketing. It builds trust while pre-qualifying.
- Your case studies. Feature the types of clients you want more of. The right prospects see themselves in the story. The wrong ones quietly move on.
The Bigger Idea
Marketing built to attract everyone attracts no one in particular. Specificity creates resonance. Clarity creates trust. And a clear “this is who we’re for” message is almost always accompanied by an implied “and if that’s not you, we respect your time.” That’s not a limitation. That’s positioning.
The best clients you’ll ever work with will choose you partly because your messaging told them exactly what they were getting into. They’ll stay because the reality matched the promise. And they’ll tell others, the right others, because the fit was obvious from the start.
Ready to see if BDS is the right fit for your business? The fastest way to find out is a 15-minute conversation. Schedule a call with Lori — no pitch, no pressure, just a direct conversation about whether what we do matches what you need.
BersonDeanStevens (BDS) has developed creative, results-driven marketing strategies, content, campaigns, and programs for over 25 years. We also incorporate AI where it adds efficiency and lifts results. Whether you need a fractional CMO, assistance for an overloaded team, or need consulting from time to time, BDS is your go-to resource. Client list.
by Lori Berson | Mar 23, 2026 | AI, artificial intelligence, Marketing, Marketing Strategy, marketing technology
Key Takeaways
- Most companies are using AI wrong. Experimenting with it is not the same as integrating it. One feels like progress. Only the other actually is.
- The 88% problem is real. Nearly 9 in 10 companies use AI, but only 1 in 10 sees it move the bottom line. Adoption without integration is just expensive dabbling.
- Bolting AI onto broken processes doesn’t fix them. If your team writes faster but still pushes data around by hand, you’ve sped up the problem, not solved it.
- Your competitors are cutting costs while you’re still paying. Campaigns that once cost $25K–$75K and took weeks now cost under $5K and run in hours…for companies that rebuilt their workflows, not just their tools.
- More content isn’t the answer anymore. Everyone can produce average content instantly now. Volume stopped being an advantage the moment AI became mainstream.
- AI follows strategy. It doesn’t replace it. Without a clear creative direction, you’re not moving faster toward your goal; you’re just moving faster.
- The cost of waiting is calculable. This isn’t a gut feeling. There’s a real number attached to every quarter you delay, and it compounds.
- Your marketing should pay for itself. The right AI-integrated workflows typically deliver ROI within one to three quarters, and keep delivering long after the work is done.
Your competitors aren’t waiting for permission.
While you’re running another quarterly planning session, they’re rebuilding. Not tweaking – rebuilding. The gap between companies that have integrated AI into their core operations and those still treating it as a productivity add-on isn’t widening gradually. It’s accelerating.
And the difficult truth? The biggest risk in your marketing program right now isn’t a failed campaign. It’s doing nothing.
The Pilot Purgatory Trap
Most organizations have tried AI. Brainstorming tools, email drafts, and meeting summaries. The early wins felt promising. Then progress stalled.
Here’s why: 88% of companies use AI, but only 12% of CEOs report actual bottom-line results. Getting just enough value to feel momentum, without transforming how work gets done, is pilot purgatory. You’re moving, but you’re not going anywhere.
To generate savings, AI needs to fundamentally change how work flows through your organization. If your team writes faster but still manually moves data between your CRM and email platform, you’ve optimized the symptom and ignored the disease.
The Efficiency Gap Is Compounding
Your competitors aren’t just moving faster. They’re operating at a different cost structure entirely.
Campaigns that once took weeks and cost $25,000–$75,000 now run in hours for under $5,000 for companies that have rebuilt their workflows around AI (The AI Transformation of B2B Go-to-Market Strategy report), not bolted AI onto their old ones. Every quarter you delay, that gap compounds. Not linearly. Exponentially.
The companies winning right now unified their tools, their data, and their teams into one system. They didn’t add more software. They eliminated the friction between what they already had.
Volume Is No Longer an Advantage
AI gives everyone the ability to produce average content instantly. In a market flooded with polished but soulless output, more content isn’t the edge; it’s the noise.
This is the paradox: the same technology creating the sameness problem is also your solution to it. But only if your strategy leads. AI amplifies, it doesn’t originate. Without a sharp creative direction guiding your tools, you’re just accelerating in the wrong direction, faster.
Authenticity, voice, and genuine strategic clarity are now your scarcest assets.
What’s This Actually Costing You? (Calculate It.)
The cost of inaction isn’t abstract. It’s measurable, and it’s likely larger than you think. Here’s a practical framework to quantify what you’re giving up each year:
1. Identify your highest-value AI use cases. Map three to five workflows where AI delivers proven results: content production, lead scoring, campaign reporting, sales enablement, or customer segmentation.
2. Benchmark your current baseline. For each workflow, measure time per task, fully-loaded cost per hour, error rate, and monthly volume. Be honest. Those numbers are your starting point.
3. Apply realistic AI uplift estimates. Use industry benchmarks, not best-case vendor projections. Typical ranges: 40–70% time reduction, 60–90% error reduction, 2–5x throughput increase.
4. Model three adoption timelines. Start now. Delay 12 months. Delay 24 months. Project outcomes across three to five years.
5. Calculate your one-year cost of inaction (CoI).
CoI = (AI savings + AI revenue uplift + risk costs avoided) − implementation cost
That number is what you’re voluntarily leaving on the table every year you wait.
6. Adjust for competitive exposure. Factor in competitor adoption rates, regulatory risk, and brand erosion from generic content. The cost of inaction isn’t just efficiency loss. It’s market share.
What Real Integration Looks Like
The window is open. Strategy and creativity are the only real differentiators left, and most of your competitors haven’t figured that out yet.
BersonDeanStevens combines 27 years of cross-industry marketing experience with AI-native workflow design. We don’t hand you a strategy deck and disappear. We build the systems, eliminate the manual work, compress your production timelines, and expand your team’s capacity…without adding headcount.
The marketing we build pays for itself. Typically, within one to three quarters. And it keeps running and delivering revenue long after our engagement ends.
Ready to see your numbers?
We’ll build you a custom Digital Worker Opportunity Report. A specific, quantified assessment of what AI integration could deliver for your business, based on your actual workflows and economics. Your numbers, your operations, your opportunity.
Schedule a brief call with Lori or reach her directly at lberson@BersonDeanStevens.com to get started today!
BersonDeanStevens (BDS) has developed creative, results-driven marketing strategies, content, campaigns, and programs for over 25 years. We also incorporate AI where it adds efficiency and lifts results. Whether you need a fractional CMO, assistance for an overloaded team, or need consulting from time to time, BDS is your go-to resource. Client list.
