Dave Miz

A first email that leads with a coupon can interrupt a ready buyer and imply that a better deal is coming before the brand has given them reasons to trust the product. The proposed fix is to move the offer later in the sequence and send it only to people who have not bought.

Dave Miz points to Caraway’s first welcome email, which hands out a coupon before making the product case. In a client example, they report moving the discount from email one to email four and limiting it to nonbuyers; revenue per email rose from $361 to $473, a 31% lift.

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Qualify people when they enter, track what they view and click, then trigger flows that match the intent those signals reveal. Klaviyo and Attentive are infrastructure; segmentation and message fit do the revenue work.

The example is a pop-up question such as “Who are you shopping for?” A gift buyer can receive gifting angles, a repeat customer can be shown bundles or subscriptions, and a first-time browser can get trust-building material rather than an immediate discount.

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A predictable series gives customers a reason to check in, while each drop also produces behavioral data that can be tagged and used in email and SMS.

Dave Miz describes a Micro-Drop Model of 5–15 SKUs, 100–300 units, every seven days. In the comparison, the smaller brand’s repeat purchase rate quietly doubled, they report, while the larger launch’s momentum faded during a 90-day gap.

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Dave Miz argues that welcome, cart and browse recovery, post-purchase, and VIP flows should carry the recurring work, leaving campaigns to act as a spotlight rather than a crutch.

Dave Miz describes a brand with strong campaign revenue but an exhausted team: every sale needed a send and every dollar needed a push. The post calls it “a treadmill, with nicer fonts” and argues that what scales is not volume but the system behind the sends.

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Lost revenue often comes from weak systems around warming people before a call, recovering no-shows, following up after sales calls, reactivating ghosted prospects, and onboarding new clients. A giant CRM is the wrong answer; a simple tool and AI-assisted message personalization are the proposed alternative.

Dave Miz describes a service provider who is excellent at the work and well liked by clients but is “bleeding money” because follow-up is a mess. The proposed tool would handle the five moments and analyze sales calls to adjust follow-up emails for each prospect.

This applies the same retention logic to one-to-one sales follow-up rather than broadcast email.

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After seven years running E/X, they say the business stopped feeling aligned and the weight of carrying everything slowed things down. The next model is described as lean, scalable, and flexible, with no partners and no massive team.

Dave Miz reports building the agency from zero to more than $7 million in revenue and 63 people doing client fulfillment, then selling it and choosing a smaller model built for speed and adjustment. Separate posts announce a Klaviyo automation product built on MCP and a Claude Code prompt for reverse-engineering a brand’s email system.

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A newcomer can see Dave Miz’s diagnostic style in a concrete automation and a before-and-after client example.

Dave Miz argues that putting a 10% discount in the first welcome email teaches ready buyers to wait for a better offer.

• The post uses Caraway’s welcome flow as an example, then describes moving a client’s discount from email one to email four and sending it only to people who had not bought.
• It reports revenue per email rising from $361 to $473, a 31% lift.
• The argument is not that discounts are bad, but that timing and audience change what the discount teaches.

For brands planning a campaign

For a welcome-flow brief, ask for the current sequence and where any first-purchase incentive appears.

• Test withholding the code from the first email and sending it later only to nonbuyers.
• Treat the reported lift as the creator’s claim, not an independently verified benchmark.

This is a working checklist, not a general argument for relevance.

Dave Miz lays out behavior-based personalization in four steps: qualify people when they enter, track what they view and click, trigger flows that match their intent, and use tools like Klaviyo and Attentive to support segmentation—not as the strategy itself.

• Examples include asking who someone is shopping for, separating gift buyers from repeat customers, and treating first-time browsers differently from people ready to buy.
• The post also cites performance figures for personalized email, segmented SMS, and Klaviyo users, without supporting data.

For brands planning a campaign

Use the four steps to structure a brief: define the qualifying question, the behavior signals to capture, the intent-based flows to build, and the platform constraints. Ask for the brand’s current segmentation and flow map before accepting a proposal focused only on sending more email.

It gives readers a concrete model to compare with a brand’s launch calendar.

Dave Miz contrasts a brand that spent heavily on a launch and then went quiet for 90 days with a smaller brand that showed up on the same day every week.

• The post says the smaller brand’s repeat purchase rate doubled, though it provides no underlying data.
• It then describes a “micro-drop model”: 5–15 SKUs, 100–300 units, every seven days, with each drop creating a reason to email, text, and tag customer behavior.
• The point: a series and steady rhythm can build a habit that a single spike cannot.

For brands planning a campaign

For a retention brief, ask whether the brand can support a weekly cadence and whether its catalog has enough variation to sustain it. Test a scheduled micro-drop series against the existing launch calendar, using tagged behavior to see whether customers return more often.

That distinction matters when a brand is deciding whether to buy more sends or better flows.

Dave Miz describes a brand with strong campaign revenue but a tired team: every sale needed a send, every dollar needed a push, and one missed email could make the numbers dip.

• The post calls this “a treadmill, with nicer fonts.”
• The alternative is to let flows handle welcome, cart and browse recovery, post-purchase, and VIP communication, making campaigns a spotlight rather than a crutch.
• Volume alone does not scale; the system behind the sends does.

For brands planning a campaign

Audit the split between campaign revenue and flow revenue, and ask how many sends depend on manual pushes. A campaign plan should include flow ownership and maintenance, not just a promotional calendar.

It helps explain why later posts focus on behavior and segmentation.

Dave Miz argues that DTC brands hurt their own email revenue by sending the same discounts, subject lines, and messages to everyone.

• The post cites 347 billion emails sent daily and an average of 121 emails per person to explain why irrelevant messages become invisible.
• It recommends capturing intent from clicks, scrolls, views, and add-to-cart behavior, then building multiple flows around different customer problems.
• Generic emails keep a team busy; personalized emails make money.

For brands planning a campaign

Before commissioning creative, define the customer segments and behavior signals the campaign will use. Explain in the brief how the brand will avoid one-message-fits-all sending and measure whether relevance improves response.

In a detailed example, they say Caraway's first welcome email offers a coupon before building trust.

• The proposed fix: remove the discount from email #1, move it to email #4, and send it only to people who have not bought.
• They report revenue per email rising from $361 to $473, a 31% lift, after that change for one client.

Audit the first welcome email for an early discount code. Move the offer later in the sequence and limit it to non-buyers, so ready buyers see product reasons and proof before price relief.

The 31% result comes from one client example. Before relying on it, ask for the measurement window, sample size, and control group.

For brands planning a campaign

A DTC retention campaign can ask Dave Miz to audit or redesign a welcome sequence around offer timing and buyer intent. Include the current flow, segment logic, and performance baseline so the recommendation can be tested rather than copied.

Examples: Source 1

Their proposed framework, Behavior-Based Personalization, starts with a qualifying question in the pop-up, tracks views, clicks, and acquisition source, then triggers flows matched to gift buyers, repeat customers, and first-time browsers. They cite personalized emails producing six times more transactions, segmented SMS producing a 30%+ conversion lift, and behavior-based personalization users seeing twice the revenue per recipient in Klaviyo.

Qualify subscribers at entry, tag behavior, and route people into intent-specific flows. Treat Klaviyo or Attentive as infrastructure; segmentation and message fit do the revenue work.

The performance figures are stated without methodology or sample details. They should be treated as claims to validate against the brand's own data.

For brands planning a campaign

This is a practical fit for brands seeking a segmentation or lifecycle-flow engagement rather than a broad awareness campaign. Be ready to share customer data, pop-up logic, and flow performance, and ask for a test plan tied to specific segments.

Examples: Source 1 · Source 2

They describe teams that are always sprinting: every sale needs a send, and one missed email moves the numbers.

• The alternative is to let welcome, cart and browse, post-purchase, and VIP flows carry the recurring work, making campaigns a spotlight rather than a crutch.
• A related post describes CRM teams waiting for the next big launch moment and proposes a steady rhythm instead.

Shift the balance from manual campaign volume toward triggered lifecycle flows. Use campaigns for planned moments and flows for welcome, intent recovery, post-purchase, and VIP retention.

Before commissioning this approach, ask for a flow audit, revenue attribution, and before-and-after data for a named brand; the posts describe the approach and outcomes in general terms.

For brands planning a campaign

A brand with an overworked CRM team can evaluate Dave Miz on flow architecture and operating rhythm, not just copywriting. Name the team constraint and the flows that need repair in the campaign brief.

Examples: Source 1 · Source 2

Each drop gives the brand a reason to email, text, and stay top of mind, while customer reactions become tags and behavioral data.

• They argue that a steady drumbeat builds belonging and repeat purchase behavior better than occasional large launches.
• A separate post describes one team adopting a weekly micro-drop cadence and customers beginning to open, click, and return more consistently.

Plan a weekly product rhythm with small batches. Use each drop to capture preference data, tag behavior, and give the CRM calendar a recurring reason to contact customers.

The micro-drop result has no named brand. Before using it to inform a campaign, ask for unit economics, sell-through, and a controlled comparison.

For brands planning a campaign

This suits brands with enough product variety or launch capacity to sustain a weekly cadence. A campaign brief should test whether the brand can support small, frequent drops operationally and whether the creator would design the accompanying email and SMS rhythm.

Examples: Source 1 · Source 2

They say a simple tool is being built to handle those moments and analyze sales calls with AI so follow-up emails can be personalized. A separate post announces a Klaviyo automation product built on MCP, and another offers a Claude Code prompt for reverse-engineering a brand's email system.

Map the five follow-up moments, then automate reminders, follow-ups, reactivation, and onboarding. Use AI to analyze sales conversations and tailor follow-up messages to each prospect.

Before commissioning a tooling campaign, ask for product names, availability, pricing, and demonstrated results. The posts announce or describe tools in development, and the Klaviyo/MCP post is only three sentences.

For brands planning a campaign

This opens service-business and B2B audiences alongside DTC retention work. For a tooling or AI-workflow campaign, ask for a live demonstration and a clear distinction between announced products, working products, and consulting services.

Examples: Source 1 · Source 2 · Source 3

The post reports more than $7 million in revenue and 63 people handling client fulfillment, built from their handling of sales and marketing.

• They cite a loss of alignment and a belief that the vehicle was no longer right as reasons for leaving.
• The next model is described as lean, scalable, and flexible, with no partners and no massive team.

Use the agency experience as proof of operating at scale, then rebuild with a smaller team and fewer structural constraints.

Ask for the new model’s buyer, terms, and current client roster.

For brands planning a campaign

Relevant to founder-led, agency-operations, or lean-business audiences. Before scoping a retention engagement, ask what work Dave Miz is taking on now.

Examples: Source 1

Dave Miz opens with a contrary claim, such as a welcome discount teaching buyers to wait or a list not being the problem, then diagnoses a common practice, names a framework or model, gives a concrete example, and ends with a short takeaway or call to action.

• Several posts use numbered steps, bullets, or a comment keyword to distribute a resource.
• The writing is short-lined and built for LinkedIn scanning.

Lead with the costly mistake, explain the mechanism, name the alternative, and give one usable next step. Use specific brand examples where available and a portable prompt or checklist as the takeaway.

The format is consistent across the posts here, but there is no dated archive, so the page cannot establish when this style began or whether it changed over time.

For brands planning a campaign

This format can work for sponsored LinkedIn explainers or lead-generation posts that need a clear problem and a practical resource. Confirm whether the comment-keyword delivery mechanic and promised resource are part of the paid scope.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6 · Source 7

They have since sold the business and exited. The post describes founding, running and selling the agency in the first person.

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The post presents this as completed teaching work.

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The post describes training delivered to the brand's CRM team.

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They address agency owners using the platform while announcing a product built on MCP, and argue that Klaviyo and similar tools produce revenue only when supported by segmentation and behavior data.

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Ahmad often frames lessons as checklists of common mistakes or warnings about context. Dave Miz builds a named model around one costly mistake, then supports it with a client example and a specific sequence change.

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Hammed writes about industry trends and strategic questions, citing reports and asking brands what behavior they are not responding to. Dave Miz moves quickly to prescribed sequence changes, named frameworks, and reported client metrics.

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Sadlak's posts focus largely on podcasts and seasonal preparation, with checklists and long-term relationship advice. Dave Miz writes first-person diagnostic essays with client examples, specific offers, and a leaner agency operating model.

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The two posts offer a checklist covering strategy, welcome-flow trust building, discount overuse, data use, post-purchase follow-up, testing, and zero-party data.

• They also warn against copying a flow from one DTC brand to another without checking audience psychology, LTV goals, journey length, and tone.
• That suits a brand unsure whether the welcome discount is the main problem and looking to frame the audit around brand context first.

The posts offer broad advice, not a documented welcome-sequence test.

• They show no specific discount-placement change, segment design, or measured result, so the brand would need someone to turn the checklist into a four-email test and measurement plan.
• The tradeoff is wider diagnostic coverage but less operational detail on the exact decision.

Examples: Source 1 · Source 2

One post argues that automations generate a disproportionate share of email revenue and that timing and customer behavior should determine the message.

• The other examines AI-assisted product discovery and its implications for product information, consideration, and first-party data.
• This helps a brand connect welcome-flow changes to a wider retention calendar and to discovery before the site visit.

The posts offer strategic framing and cite an industry report, but provide no tested welcome-discount sequence, segment map, or campaign-level results.

• The brand would need to ask for the audit mechanics and measurement design.
• The tradeoff is stronger context for prioritization and channel change, but weaker step-by-step help with the discount-timing decision.

Examples: Source 1 · Source 2

The posts cover pre-BFCM flow preparation, discount-code flows, consistency between campaigns and flows, price-drop and back-in-stock flows, post-BFCM retention, and the case for balancing promotional and educational email to build longer-term relationships. That is useful for a brand checking every seasonal flow before peak, not just the welcome series.

The posts offer mostly checklist- and principle-level guidance, with a podcast episode as the detailed resource.

• They show no specific welcome-discount test, behavior-tag design, or measured lift.
• The brand would need to ask for the audit and test plan.
• The tradeoff is stronger seasonal and lifecycle breadth, but weaker direct evidence on the welcome-sequence decision.

Examples: Source 1 · Source 2