What Andrew Schulkind Shows Us About Strategy, Craft, and the Marketing Metrics That Actually Matter
Marketing spent the last decade getting comfortable with a dangerous idea: “good enough” will probably work.Templates, automation, and dashboards made everything look tidy. Teams optimized for speed. And as long as the charts trended up and to the right, nobody asked too many questions about what those charts meant.
That complacency is now meeting a brick wall.
The wall is AI.
The wall is CFO scrutiny.
The wall is customers whose expectations change faster than campaigns can keep up.
In my conversation with Andrew Schulkind, CEO of Andigo, the pattern was unmistakable: the market is drifting toward volume, velocity, and veneer at the very moment when companies actually need depth, insight, and connection. “Good enough” has become a trap – cheap to produce, expensive to rely on.
And here’s the real issue: the gap isn’t about tools.
It’s about trust.
The Metrics That Matter Are Not the Ones Marketing Loves
The conversation opens with the tension everyone feels but few acknowledge: marketers track process metrics, while leaders care about business metrics.
- Likes, follows, impressions → cheap signals of motion
- Revenue, margin, LTV, churn → expensive signals of meaning
Andrew put it bluntly: leaders listen differently when you can connect work to money. The problem is that AI now makes process metrics even easier to inflate. More content. More variations. More dashboards. More charts that look impressive and say very little.
This is why trust erodes.
It’s why marketing budgets flatten while tech budgets grow.
It’s why CMOs keep losing political capital inside their own orgs.
The core question becomes: How do you prove you’re creating commercial value – not just digital exhaust?
The Age of “Good Enough” – and Why It’s Breaking
Andrew sees it everywhere. A strategist is hired to build a single positioning narrative. Someone junior turns that one narrative into a dozen assets. The artifacts look acceptable, but the strategic spine is gone. AI accelerates the problem: people with tool fluency but thin domain depth can now generate plausible work at scale.
The danger is not aesthetic.
It’s the widening distance from customers themselves.
You can feel it in:
- Campaigns driven by digital indicators instead of customer truths
- Personas made from internet stereotypes rather than interviews
- Segmentations built from spreadsheets rather than lived experience
- Journeys mapped to funnels instead of emotional triggers
AI didn’t create these shortcuts – it just made them easier to hide behind.
The antidote is not to reject technology. Andrew is deeply pro-tech.
The antidote is to re-anchor the work in customer reality, then use AI to amplify – not replace – understanding.
Depth Is a Competitive Advantage Again
(But Only If You Earn It)
Schulkind’s most practical insight was deceptively simple: better marketing begins with better conversations. Not surveys. Not abstract personas. Actual conversations with:
- Customer-facing employees
- Long-term clients
- Deals won and deals lost
- Prospects who vanished
- People who use the product daily, not the people who approve it
You don’t ask, “What do you need from us?”
You ask:
- How did this change your workflow?
- What almost made you not buy?
- Where do you still improvise around the solution?
- What internal frictions slow you down?
- What outcome would make you a raving advocate?
This isn’t “customer research.”
It’s commercial reconnaissance.
It tells you what to ignore, what to emphasize, and what to build.
AI enters after these conversations – synthesizing patterns, tagging themes, and spotting contradictions. But the raw material has to be human.
Without the human layer, AI mirrors the market instead of informing strategy.
Define the Real Problem and the Real Outcome
(Everything Else Is Decoration)**
Once you understand the segment, resist the instinct to jump to tactics. Andrew and I kept returning to the same rule: strategy is the act of choosing which problems you solve and which you don’t.
Teams skip this step because tactics feel productive. Strategy feels slow. But without precision around:
- The felt problem (the day-time heartburn, the drag on growth, the workflow that breaks every week)
- The desired outcome (fewer handoffs, better data, more qualified pipeline, faster cycles)
… everything becomes guesswork disguised as activity.
Customers don’t buy features.
They buy relief and momentum.
When you articulate the problem they feel and the outcome they want, you escape the gravitational pull of “we want to sell X” and move toward “they value Y.” That shift alone makes marketing less desperate and more credible.
Build a Measurement Loop Around Behavior, Not Vanity
This is where most teams stumble. They say they’re “data-driven,” but they’re led by whatever is easy to measure. Andrew’s approach – one I see in the best-performing companies – is to build a measurement loop around behavioral intent, not volume metrics.
Start small:
- Three core pains
- Three matching outcomes
- One email per pain
- One email per outcome
- Each containing: a micro-proof, a useful resource, and a low-friction CTA
Then watch:
- Who clicks the pain emails?
- Who responds to the outcome emails?
- Who downloads the resource but skips the CTA?
- Who engages twice? Three times?
This is not content marketing.
This is a conversion clarity engine.
Within a few cycles, you learn which pains actually move money. You see which outcomes unlock budget. You discover your real ICP – not the one marketing declared but the one the market confirms.
Even if your client wants to insource execution or asks AI to produce first drafts, you still own the strategic architecture. And that is where the durable value sits.
The Real Point: Strategy Is the Value
This might be the biggest takeaway from the entire conversation: strategy is not a prelude to production. Strategy is the product.
Sometimes that means stepping on implementation revenue to preserve trust. Sometimes it means telling leadership that a beloved internal idea won’t survive contact with the market. Sometimes it means focusing on insights rather than outputs.
The test is brutally straightforward:
Can you connect what you do to the metrics leaders care about and to outcomes customers will pay for?
Everything else – speed, volume, templates, even AI – is secondary.
Where This Leaves Us
We’re in a moment where 15 months of change can collapse into 15 minutes. The organizations that navigate it well will be the ones that:
- Anchor everything in customer truth
- Define problems and outcomes with precision
- Focus on behavioral intent, not vanity metrics
- Use AI to amplify, not replace, understanding
- Treat strategy as a business function, not a deliverable
That is how you rise above “good enough” without rejecting the tools that make modern work possible.
If Schulkind’s perspective has a headline, it’s this:
Clarity beats volume.
Depth beats speed.
And strategy beats everything.
