Travis McEwan

Founder & CEO at 1 At Bat Media | Helping eCommerce Brands Acquire More Customers, Improve Retention + Scale Profitably

[Travis McEwan @travis_mcewan]

Switching agencies should not result in the loss of valuable ad account insights gained over years.

Brands may invest years in Google and Meta, only to find that campaigns, historical data, attribution, optimization signals, and platform learnings reside within the agency’s account.

That creates a real transition risk.

If a brand must create a new Google Ads or Meta account after years of investment, it immediately loses ground. The new agency is not only developing strategy but also rebuilding signals, campaign history, conversion data, audience insights, and platform trust from the beginning.

This has a substantial impact.

Many brands assume the primary risk of switching agencies is a temporary dip in performance.

However, the greater risk is often structural.

When the agency owns the account and the brand lacks full administrative access, historical data becomes inaccessible. Campaign learnings cannot be transferred effectively, requiring the new team to rebuild from the ground up. Attribution and reporting also become more difficult to compare.

This should not be standard practice.

The optimal arrangement is for the brand to own the ad account, with the agency granted partner access.

This ensures that if the brand changes agencies, the account, along with its data, history, and learnings, remains with the business.

This principle applies to agency transitions in general.

A good transition should not mean coming in and blindly shutting everything off on day one. The better approach is to audit what is working, understand what is driving results, protect the downside, fix structural issues, and move carefully.

This process is much more difficult if the new agency cannot access the original account history.

Your ad account should be owned by your business, not the agency.

The agency can manage it. They can advise on strategy. They can launch campaigns, optimize spend, and run the day-to-day execution.

However, the account itself should remain with the brand, as years of campaign data are essential and highly valuable to the growth infrastructure.

[Travis McEwan @travis_mcewan]

Strong retention can hide weak acquisition for a while.

A brand can still have decent revenue, strong email performance, and loyal returning customers while new customer acquisition is quietly weakening underneath.

That is the part that gets missed.

Email keeps producing revenue. SMS drives quick wins. Loyal customers respond to promos. Returning buyers soften the impact.

On the surface, things can look fine.

But if new customer orders are declining, traffic quality is slipping, or Klaviyo is carrying too much of total revenue, the business may be leaning too heavily on the same audience.

Strong retention is good. However, retention is not a replacement for acquisition.

A healthy eCommerce business needs both. New customers need to keep entering the system, and retention needs to help them become second-time, third-time, and long-term customers.

If retention is strong but acquisition is weak, the business may still look fine for a while.

Eventually, the leak catches up.

[Travis McEwan @travis_mcewan]

We recently had a founder-led brand heading into a temporary production pause while the owner was away. The ads could still generate orders. That was the problem.

The solution? Sometimes the right media buying decision is to stop optimizing for purchases.

Keeping the usual sales campaigns running would have created demand the business could not fulfill properly. Longer waits, more support tickets, frustrated first-time customers, and potentially cancelled orders.

Turning everything off was not the best answer either.

So the objective changed.

We tapered purchase-focused spend, shifted part of the budget toward lead generation, and planned to push harder again closer to reopening. Instead of asking people to buy immediately, the brand could grow its email list, build warmer audiences, and create demand for the next available purchase window.

That is an important distinction.

Marketing does not always need to produce today’s transaction. Sometimes its job is to move the right person one step closer to buying when the business is ready.

The same logic applies to inventory shortages, manufacturing delays, warehouse transitions, or fulfillment backlogs. More orders are not helpful if the customer experience falls apart after checkout.

Your campaign objective should match the business's operating reality.

When you cannot responsibly fulfill more purchases, stop asking marketing to create them.

Build the audience you can convert later.

[Travis McEwan @travis_mcewan]

We have managed accounts where Google Shopping or PMax showed potential, but limited budgets prevented meaningful results. Small amounts were distributed across PMax, Search, Shopping, retargeting, Meta, and testing.

On paper, the brand was “testing Google.”

In practice, the campaign lacked sufficient data.

This makes it difficult to assess performance. Is the channel ineffective, the product misaligned, the budget insufficient, or the campaign structure too fragmented? Or did the campaign simply lack enough impressions, clicks, and conversions to generate insights?

Small-budget brands often encounter this challenge.

They attempt to cover every channel, but none of the campaigns receive enough data to be effective.

Often, a more effective approach is to focus resources.

Allocate sufficient budget, time, and conversion data to a single, well-defined campaign. For smaller accounts, this may involve starting with structured non-brand Search before investing heavily in PMax.

The lesson is simple:

When budget is limited, coverage is usually less important than signal.

Running five underfunded campaigns does not provide five meaningful tests.

Most often, they result in five inconclusive outcomes.

[Travis McEwan @travis_mcewan]

We recently reviewed a brand that had been running the same $10-off popup for years.

Same offer. Similar design. Same customer reaction.

Exit popup.

The instinct in that situation is usually to increase the discount. Make it $15. Maybe 15% off. Give away a little more margin and hope the signup rate moves.

But the problem was not necessarily that the offer was too small.

It had become invisible.

Customers had seen the same value exchange for so long that the popup felt like part of the furniture. So instead of automatically discounting harder, we discussed testing a monthly gift-card giveaway.

One winner. Fixed cost. Much higher perceived upside.

We had seen a similar change on another account produce roughly three times the signup rate. That does not mean giveaways always beat discounts, but it does show that a stronger reason to subscribe can outperform a slightly larger coupon.

The important part is how you judge it.

A higher signup rate is useful, but it is not the finish line. Giveaway leads can be lower intent, so the real comparison is what happens afterward: who opens, clicks, browses, buys, stays engaged, and eventually becomes a valuable customer.

Sometimes visitors are not ignoring your popup.

They are ignoring an offer they stopped noticing months ago.

Before increasing the discount, test a different value exchange.

[Travis McEwan @travis_mcewan]

A website proposal should inform clients, not simply provide a quote.

During a recent website proposal call, the primary focus extended beyond discussing pricing.

The goal was to help the founder understand the full scope of what they were purchasing. A website build involves more than just a new design or Shopify setup.

The proposal needed to clarify the purpose of each component, including UX, sitemap, product pages, analytics, Meta pixel, Klaviyo, review integrations, QA, redirects, and post-launch tracking.

These elements may seem technical, but their value becomes clear when linked to business objectives.

The website should educate customers, build trust, increase average order value, collect emails, support paid media, clarify the product, and instill buyer confidence.

For founder-led brands, it is important not to assume everyone understands the significance of GA4, proper tracking installation, or how product page structure impacts advertising performance.

This is where a proposal goes beyond a simple price sheet. A quote only states the cost.

An effective proposal explains the importance of the work, how each element integrates, and the website’s objectives post-launch.

This approach is especially important for low-ticket or consumable products.

The website must be more effective. Bundles, subscriptions, multi-packs, product education, founder stories, reviews, and improved merchandising can all enhance acquisition economics.

If clients finish reading the proposal and only understand the cost, it has not achieved its purpose.

They should also grasp the strategy behind the build, as the website serves as the foundation for the entire growth system. It isn’t just an attractive storefront.

[Travis McEwan @travis_mcewan]

Seasonal brands cannot use the same testing rules as evergreen brands.

We recently spoke with a business that makes roughly 90% of its annual revenue in a very short window. That changes the cost of getting a decision wrong.

An evergreen brand can test an idea, learn from it, and try again next month.

A seasonal brand may need to wait another year.

That means every experiment needs a clearer reason to exist. The team should know what question it is trying to answer, how much budget it deserves, and what happens if the result is inconclusive.

It also changes how you read performance.

A soft day cannot automatically trigger panic. A strong day cannot automatically prove a winner. Reporting windows, spend levels, product availability, promotions, and demand shifts all matter more when the window is compressed.

Some parts of the account should remain stable because they are protecting proven revenue. Other parts should be deliberately reserved for testing. Mixing the two creates unnecessary risk.

The lesson is that seasonal brands should be more disciplined about where uncertainty is allowed.

When one month carries the weight of an entire year, every test should earn its place.

[Travis McEwan @travis_mcewan]

Not all attributed revenue is created equal. I see this all the time in audits.

Platform metrics often appear strong. Meta reports revenue, Google shows conversions, and PMax appears efficient. At first glance, account performance seems positive.

However, a closer examination of revenue sources is necessary.

→ A purchase attributed to a cold Meta ad differs from one attributed to retargeting.
→ A purchase following an ad click is distinct from a purchase after only viewing the ad.
→ A brand search conversion within PMax is not the same as a non-brand discovery conversion.
→ An email purchase from a loyal customer differs from a first-time buyer acquired through prospecting.

None of these scenarios are negative. They simply represent different outcomes.

In some audits, Meta reported significantly higher purchase values than GA4 attributed to Facebook or Instagram. The key insight was not that Meta lacks value, but that each system provides a different perspective. Therefore, platform-reported figures should not be considered the sole source of truth.

The same applies to one-day view attribution.

One-day view attribution may indicate that Meta influenced a purchase, but it is not equivalent to a user clicking an ad, visiting the site, and completing a purchase. View-through revenue can serve as an assist indicator, but it should not be interpreted in the same way as click-based revenue.

This issue also arises with PMax.

If a campaign is designed to generate top-funnel demand but primarily converts on brand search, it may still provide value. However, it serves a different purpose by capturing existing demand rather than creating new demand.

This highlights the issue with interpreting attributed revenue as a single, undifferentiated figure.

An account may appear to be growing when, in reality, it relies on brand-aware customers, warm audiences, retargeting, or individuals already close to purchasing.

Attributed revenue requires context. Consider the source, intent, customer type, and role in the funnel.

Otherwise, the platform may appear to create demand when it is primarily capturing demand that already existed.

[Travis McEwan @travis_mcewan]

One perfect ad is riskier than ten informed tests.

We recently had a planning call with a highly seasonal brand that generates most of its annual revenue within a short window. The team wanted to identify the highest-converting creative before peak season.

Fair goal. The risky part is trying to manufacture one perfect asset internally.

You can spend three weeks polishing a concept everyone loves, launch it when CPMs are highest and every day matters, then discover the market does not care. That leaves you with one expensive bet and very little useful learning.

A better approach is to use historical winners to build a group of informed tests before peak. Different products. Different emotions. Different formats. Different levels of customer awareness. Each one should test a distinct reason the customer might care.

And they need a fair chance to perform. A creative that received $12 in spend was not tested. It was uploaded.

The point is to answer useful questions, not make ten ads and hope something sticks.

Maybe a demonstration beats a testimonial. Beginner education may outperform technical detail. A rough creator video could beat the polished brand shoot. Or the creative might earn attention while the offer loses the customer further down the funnel.

Each result should make the next round smarter.

A one-off winner can generate revenue. A system of informed tests generates revenue and customer insight you can keep using long after that ad stops performing.

The internal team can choose its favourite. The market still gets the final vote.

[Travis McEwan @travis_mcewan]

I'm a firm believer that Q4 scaling starts well before Q4. Here's why.

We’ve had calls where a brand approaches us and wants to “get aggressive for Black Friday,” but when we take a closer look, we find that their foundations haven’t been built.

Common issues include an undersized email list, a welcome flow focused only on discounts and thank-yous, untested creative assets, and a Meta pixel missing key events. Although the offer may seem strong, shipping, discounts, and customer acquisition costs can quickly erode margins.

These issues cannot be resolved during Black Friday week.

Q4 performance reflects the preparation completed earlier in the year.

The list built in June and July becomes your monetizable audience in November. Creative tests in August inform scalable strategies as CPMs increase. Optimized flows established before peak season help capture subscribers, browsers, cart abandoners, and first-time buyers when traffic peaks.

The same principle applies to offers.

Q4 is not the time to discover that your best-selling product does not support acquisition economics. While a low-ticket SKU may convert, a bundle, starter kit, or free-shipping threshold often delivers a healthier first order. These strategies should be tested before peak market activity.

Accurate tracking is also essential. Effective abandoned cart and checkout retargeting requires a pixel that has been active for some time, allowing audiences to populate and the platform to receive reliable data.

This is why the quiet months matter.

These months should be used to build your list, test messaging, improve the website, refine tracking, model offers, review flows, and address weaknesses before increased volume exposes them.

By the time Q4 starts, the brand should not be trying to build the machine.

It should be ready to execute.

[Travis McEwan @travis_mcewan]

Sometimes performance improves after total spend comes down.

That sounds backward until you look at where the money is actually going.

In one recent account, monthly ad spend was reduced while revenue declined by only a few thousand dollars. The business gave up some top-line revenue, but ad spend as a percentage of revenue dropped to one of its lowest (and most efficient) levels in months.

The reason was simple: the least efficient dollars had been removed first.

Broader acquisition spend came down, while a smaller retargeting campaign targeting warm users that hadn't purchased yet stayed live because it was still driving meaningful sales at a modest daily budget. The account was spending less overall, but the remaining budget had a clearer role and was concentrated in the strongest parts of the system.

That does not mean reducing spend is always the solution. The short-term efficiency gain still had to be weighed against the longer-term cost of feeding less new demand into the system.

As budgets increase, campaigns often have to reach colder audiences, less efficient placements, and lower-intent traffic. CAC rises, marginal returns fall, and the account can start buying revenue that looks good in-platform but does less for the business.

Reducing inefficient spend can improve ROAS, MER, cash efficiency, and contribution margin while lowering CAC, especially when the removed budget was funding weaker campaigns.

There is a tradeoff, though.

Lower spend can also mean fewer new customers, slower list growth, smaller retargeting pools, and less future demand entering the system. So the goal is not simply to spend less.

The aim is to work out which dollars are leading to profitable growth and which ones are merely making the account appear larger.

In some cases, a business with a lower spending level is healthier.

It may simply mean the account has become leaner and more efficient.

The real question is what happens after the cut: whether margins improve, customer growth remains healthy, traffic quality strengthens, and the acquisition engine remains sustainable.

The point lies in the changes that take place to the margin, customer growth, traffic quality, and the strength of the acquisition engine following the cut.

[Travis McEwan @travis_mcewan]

Promotion-specific creative usually performs better because the offer is built into the idea, not pasted on at the end.

We see this a lot during sale planning.

A brand has a strong evergreen ad. Promo comes around. The quick move is to add a “20% off” badge, swap the headline, and call it a sale ad.

Sometimes that works. But it is rarely the strongest version of the creative.

The better version is built with the offer at the center. The hook, visual, copy, CTA, landing page, and product selection all work together to make the offer clear and compelling.

There is a big difference between:

“Here is our product, and by the way, it is on sale.”

And:

“Here is why this offer matters right now.”

That could mean creative built around gifting, seasonal timing, stock-up behavior, bundles, purchase thresholds, urgency, or a specific category moment.

For example, “30% off gear for warmer days” is doing more than adding a discount. The sale, season, category, and customer reason-to-buy are working together.

Same with a gift-with-purchase.

The ad should explain the gift and why it adds value. A bundle ad should show the use case or the savings logic. A stock-up offer should speak to replenishment or repeat usage.

This is why creative testing should go beyond launching another product image with a new headline.

The platform needs variety, but the customer needs clarity.

Different hooks.
Different objections.
Different proof points.
Different levels of awareness.

Evergreen creative can still work during a promo. But if the offer is the reason to buy, the creative should be centered on that reason.

Otherwise, you are not really running promotion-specific creative. It is simply an evergreen creative with a temporary label.

[Travis McEwan @travis_mcewan]

The first sign your offer is working may happen before checkout.

We’ve seen this in tests where purchases had not moved yet, but earlier funnel behaviour already had. Click quality improved, more people viewed the product, add-to-cart rate climbed, and checkout starts increased.

Proven success? No.

Evidence that something is resonating? Yes.

The key is knowing where that movement stops. If people click but do not add to cart, the product page or offer may be weak. If they add to cart but do not complete checkout, the friction may be shipping, price, trust, or the final buying experience.

This is why tests with no sales are not always failed tests, especially when spend and sample size are still low.

Purchases are still the goal.
But earlier signals can help indicate whether the offer needs more time, a better landing page, or a cleaner path to purchase.

The sale tells you whether the full system worked.

The earlier signals tell you why it did or did not.

[Travis McEwan @travis_mcewan]

The campaign with the highest historical ROAS is not always where the next dollar should go.

We saw this recently in an account that had historically leaned heavily on Google. That made sense for a long time. Google had been the more established channel, and some of the campaigns had strong historical returns.

However, our current analysis showed that Meta was offering a stronger opportunity.

This did not mean Google was no longer effective. Rather, allocating the next incremental dollar to Meta was more likely to drive growth than increasing budgets for campaigns that were already mature, saturated, or capturing existing demand.

We saw the same thing inside Google.

A newer Standard Shopping campaign started outperforming several more complex PMax structures. It had stronger early efficiency, a better conversion rate, and lower cost per purchase. The important part was not simply that it had the highest ROAS in that moment.

It had capacity for further growth.

This is what historical ROAS does not reveal.

A campaign can have a great average because it has been operating at a controlled budget against the easiest available conversions. Add more spend, and it may need to reach colder traffic, less-qualified searches, or more expensive placements. The marginal return can drop quickly.

Brand search is a clear example. It often delivers excellent ROAS by capturing users already seeking the company. While it is important to protect this demand, increasing the budget beyond available branded searches does not generate additional customers.

Stronger opportunities may include non-brand search, Shopping, Meta prospecting, new acquisition products, or email list growth ahead of Q4.

Product economics matter too.

A lower-ROAS campaign may still deserve more budget if it brings in more new customers, supports a higher AOV, has stronger margins, or introduces people to products they will buy again later.

Conversely, a campaign with strong historical ROAS may be focused on low-margin products, rely heavily on warm demand, or direct traffic to offers with a pricing disadvantage compared to Amazon or other retailers.

Historical ROAS tells you what has already happened.

Budget allocation is about what happens next.

The next dollar should be allocated to the strongest marginal opportunity, rather than automatically to the campaign with the most impressive historical results.

[Travis McEwan @travis_mcewan]

Email list growth should be planned like media buying.

We recently had a client conversation around Q4, and the instinct was to wait until closer to Black Friday to push harder.

That is exactly when attention gets more expensive.

Instead of treating list growth as a passive process, we discussed building the audience earlier. Launch the giveaway now. Improve the popup now. Begin collecting more qualified subscribers while CPMs are lower, and there is still time to introduce the brand effectively.

The objective is not simply to collect the highest number of email addresses. A $0.50 lead is not better than a $2 lead if the less expensive subscribers do not engage or convert.

You have to look at email acquisition the same way you would look at paid media:

- What did it cost to acquire each subscriber?
- Did they enter the right welcome flow?
- How long did it take them to make a first purchase?
- What was the revenue per subscriber?
- Did that cohort stay engaged, unsubscribe, or buy again?

We have seen brands invest significantly in driving site traffic, yet treat email capture as an afterthought. Most visitors will not purchase during their first session. Without offering visitors a secondary path into the business, much of the value of that paid traffic is lost.

A more effective popup, quiz, early-access offer, or giveaway can increase the total value generated from the same ad spend.

But the signup is only the first half.

A welcome flow, segmentation, retargeting, and a consistent campaign cadence are essential for converting subscribers into customers. This is why list growth requires clear targets, a defined budget, and measurable outcomes.

Not just, “How many emails did we collect?”

More like, “What did it cost to acquire them, how qualified were they, and what value did that cohort create over time?”

A larger list is valuable, but a deliberately built and engaged list that is effectively monetized becomes a true growth channel.

[Travis McEwan @travis_mcewan]

In a recent client conversation, we discussed scaling paid media back for a few months. That meant less traffic, fewer new customers entering the funnel, and slower list growth.

So the focus shifted.

Rather than focusing solely on short-term revenue, we considered strategies to protect the existing customer base. This led us to implement VIP and birthday flows.

These flows were not intended to be the primary revenue drivers. That was not their purpose.

A cart abandonment flow is built to recover high-intent revenue. A welcome flow is meant to convert new subscribers. A VIP flow speaks to someone who has already purchased four or five times and deserves to feel recognized.

Different job. Different scorecard.

A VIP or birthday email may not generate an immediate purchase, but it can increase the likelihood of repeat purchases, engagement with future launches, referrals, and stronger brand loyalty. This value is not always reflected directly in attributed flow revenue.

Audience size is also important. A VIP flow targets a small group of high-value customers, so its total revenue will naturally be lower than a Welcome Flow that reaches thousands. This does not diminish its value.

You can still evaluate it through repeat purchase rate, time to next order, AOV, redemption rate, engagement, and movement into higher-value customer tiers.

Performance still matters. The offer must be relevant, the audience well-defined, and the economics responsible.

But the flow should be judged against the reason it exists.

Some automations convert.

Some recover.

Others recognize, retain, and strengthen the relationship with the customer.

Not every flow needs to deliver immediate revenue to fulfill its role.

[Travis McEwan @travis_mcewan]

The best growth lever is not always in the ad account.

Performance slips, CAC climbs, or ROAS softens, and the first instinct is to change budgets, pause campaigns, or launch new creative.

Sometimes that is the right move.

But often, the ad account is just where the problem becomes visible.

We recently worked through an account where paid media was still doing its job: bringing qualified traffic, generating product interest, and getting people into the buying journey. The bigger issue was what happened after the click.

The site needed stronger product education, the offer was not doing enough work, AOV was too low, and shipping friction was creating hesitation at checkout.

In that situation, another audience test was not the main opportunity.

A better bundle, a clearer product page, a smarter free-shipping threshold, or a stronger welcome flow had more upside than another round of platform tweaks.

This is why diagnosis matters.

A drop in paid performance can come from weaker site conversion, inventory gaps, poor merchandising, stale retention, tracking issues, low-margin products, or a delivered price customers are not willing to pay.

More spend does not fix those problems. It often makes their impact more expensive.

The ad account still matters, of course, but it works inside a much bigger system.

So when growth slows, the practical move is to look beyond Meta or Google and trace the full customer journey. Find where demand is being lost, where margin is getting squeezed, and where the buying experience is creating unnecessary friction.

The ad account may need work.

But sometimes it is the dashboard light, not the engine problem.

[Travis McEwan @travis_mcewan]

Your ads may perform well, yet profits can remain stagnant.

Recently, we observed an account where paid media drove traffic, purchases, and a strong ROAS. However, a deeper analysis revealed that the underlying unit economics were much tighter.

AOV was low. Shipping was expensive. Discounts and free gifts further reduced the margin. In some cases, the ads were doing their job, but the order still wasn’t very profitable.

A similar pattern emerged during a free shipping test: conversion rates, add-to-cart activity, and new customer acquisition all improved.

Great on the surface. But some smaller orders became far less attractive once shipping costs were included. More orders did not automatically mean more profit.

This is why AOV can become one of the primary growth levers once CAC is under control.

The next move may not be another campaign restructure. It may be bundles, multipacks, subscriptions, add-ons, better merchandising, or a more realistic free shipping threshold.

ROAS remains crucial, but it does not reflect product costs, fulfillment, shipping, returns, or the distinction between new customers and low-value restock orders.

Sometimes, the next optimization is not within Meta or Google. It is in the cart, the offer, the product mix, or the shipping model.

[Travis McEwan @travis_mcewan]

Thought of the day: Growth creates pressure before it creates profit.

I have experienced this firsthand while expanding my agency. Each new client increases revenue, but also adds onboarding, meetings, reporting, strategy, creative work, quality assurance, communication, and management overhead.

Larger accounts offer more opportunity, but they also require more decisions and tighter processes.

The business usually feels the workload before it feels the financial upside.

The mistake is assuming the team can absorb the extra pressure until the systems catch up. That is when every issue starts escalating to senior people, the founder gets pulled back into too many decisions, and quality depends on people staying late and figuring it out. That is not scalability. That's absorbing pressure through manual effort.

The better move is to design for the next stage before the current one breaks: plan capacity before the pod is overloaded, define ownership before every gap becomes a founder problem, and document context before it needs to be rebuilt in every conversation.

It also means being honest about the source of the strain. Not every rough week requires another hire. Sometimes the real fix is clearer priorities, better briefs, stronger QA, fewer handoffs, or less custom work.

We see the same thing on the client side.

More ad spend exposes weak creative systems.
More traffic exposes landing-page problems.
More orders expose fulfillment gaps.
More revenue reveals whether the margin was actually there.

Growth amplifies weaknesses in existing systems.

You can’t avoid that pressure, but it does give you a chance to build enough capacity, clear roles, and good processes so your business can handle it, without making stress the new normal.

[Travis McEwan @travis_mcewan]

AOV creates breathing room in the margin.

We saw this in a recent client account where the ads were doing their job. CAC was reasonable. Orders were coming in.

However, the average order value remained too low.

After accounting for product costs, shipping, fulfillment, discounts, and payment fees, margins were limited. While the account appeared healthy at the campaign level, overall business economics remained constrained.

This highlights the importance of AOV.

A $20 order and a $75 order do not absorb acquisition and fulfillment costs equally. CAC and some fulfillment costs may remain similar regardless of order size.

A larger cart provides greater financial flexibility.

Room to cover shipping.

Room to support paid acquisition.

Room to offer an incentive without wiping out margin.

Room to keep scaling when performance softens a little.

In this situation, the solution was not another campaign rebuild. Instead, we explored bundles, multipacks, add-ons, subscriptions, and a more attainable free shipping threshold. However, the threshold alone does not increase AOV; the site must provide customers with a compelling reason to reach it.

If AOV is $55 and free shipping begins at $75, the additional $20 should not feel like filler. The additional product, bundle, or upgrade must feel relevant and valuable to the customer.

One important caveat: higher AOV is only useful if the cart is still profitable. A larger order built on deep discounts, free shipping, and a free gift can still leave the business in the same place.

The objective is to achieve a larger, more profitable cart. Often, the more effective growth strategy is not to reduce CAC further, but to increase the margin generated by each order.