The team you wish you'd hired six months ago.
We embed inside e-commerce and SaaS teams as contractors, consultants, or fractional operators, and get the unglamorous work done. Dashboards that hold up. Ad accounts that stop bleeding money. Systems that don't fall over.
A bench of operators, not a single freelancer. Not an agency of generalists either.
We are not five different vendors in a trenchcoat. We are the same people, every week, inside your ad accounts, your data, your Jira board, actually finishing what we start.— the operating principle behind every engagement
Operators first.
Consultants second.
We've run product, data, and operations inside e-commerce and SaaS companies, not just advised from the outside. Now we bring that hands-on experience to teams that need senior-level execution without a senior-level headcount. You get someone who has actually done the job, not someone who read about it.
Three functions. One team.
Product
We manage the product, not code it ourselves. Roadmaps, specs, and priorities, plus the ad platforms, APIs, and workflow systems it all depends on. If you need hands-on development, we can also stand up and manage a dedicated build team in India.
Data
We turn scattered numbers into dashboards your team actually opens, and analytics that are configured right the first time, so decisions get made on facts instead of guesses.
Operations
We handle the day-to-day that never makes it onto a roadmap: internal tools, ad account troubleshooting, QA, customer issues, and the fires that need someone senior on them fast.
Pick the level of involvement you need.
Senior product leadership without a full-time executive hire. Roadmap, prioritization, and accountability for the team you already have.
Embedded, ongoing part-time capacity. We show up in your tools, on your standups, and in your Slack, like a team member who happens to be part-time.
An advisory engagement. We diagnose what's broken, hand you a plan, and execute alongside your team as much or as little as you need.
Scoped, project-based work with a clear deliverable and a deadline. Good for a single build, a migration, or a fix that needs to happen and stay fixed.
Not sure which one fits? Tell us the problem, we'll tell you the engagement.
Common questions from US e-commerce and SaaS teams.
An e-commerce operator handles the hands-on product, data, and operations work that keeps an online business running: setting product priorities, configuring analytics like GA4, troubleshooting Meta and Google ad accounts, building dashboards, running QA, and resolving customer issues, without needing a full in-house team for each function.
No. We're product managers, not web developers. We manage the roadmap, requirements, and priorities, and configure the ad platforms, analytics, and workflow systems a product depends on. If you need code written, we can stand up and manage a dedicated development team in India on your behalf.
All work is billed hourly. Contractor and consultant engagements carry little to no minimum commitment. More embedded roles, like a fractional employee or fractional CPO, carry a minimum weekly or monthly hour commitment so the engagement can actually move the needle. See the Solutions page for a full breakdown.
Our primary focus is e-commerce and SaaS companies based in the United States. We also take on international engagements on a case-by-case basis.
A fractional CPO owns the product roadmap on an ongoing basis and is accountable for what the team ships. A consultant is brought in to diagnose a specific problem and hand over a plan, with execution support as needed, typically without ongoing accountability for the roadmap.
Have a problem that needs an operator?
Tell us what's broken, slow, or missing. We'll tell you honestly whether we're the right fit.
Everything we run, function by function.
We work across three functions inside e-commerce and SaaS businesses. Most engagements touch more than one of them.
We manage the product. We don't code it ourselves.
We're product managers, not web developers. We set priorities, write specs, and run the roadmap end to end. We configure the ad platforms, analytics, and workflow systems your product depends on. If you need something actually built, we can stand up and manage a dedicated development team in India rather than hand you off to a freelancer marketplace and hope for the best.
Numbers your team can actually trust.
We turn scattered spreadsheets and half-configured tracking into dashboards people open every day. That means clean data pipelines, analytics set up correctly the first time, and KPI frameworks built around the decisions your team actually needs to make, not vanity metrics.
The day-to-day that keeps a business running.
Every growing company has a pile of work that isn't glamorous but can't wait: an ad account quietly losing money, a customer issue queue nobody owns, QA that keeps slipping. We take that pile and clear it, then put a system in place so it doesn't pile back up.
Four ways to work with us.
The right engagement depends on the problem, not the other way around.
Senior product leadership without a full-time executive hire. We own the roadmap, set priorities, and hold the existing team accountable to shipping against it.
Embedded, ongoing part-time capacity for teams that need consistent hands on a function without the overhead of a full-time hire. We show up in your tools, your standups, and your Slack.
An advisory engagement built around a diagnosis. We audit what's happening, hand you a clear plan with priorities attached, and execute alongside your team as much or as little as you need.
Scoped, project-based work with a clear deliverable and a deadline. You know what you're getting and when. Good for a single build, a platform migration, or a specific fix that needs to happen and stay fixed.
Not sure which one fits? Tell us the problem, we'll tell you the engagement.
What each engagement includes.
Ordered from the most involved to the least. Most engagements are a mix, this is the general shape of each.
| Fractional CPO |
Fractional Employee |
Consultant | Contractor | |
|---|---|---|---|---|
| Sets strategy & roadmap priorities | ✓ | ✕ | ✓ | ✕ |
| Executes hands-on work | ✓ | ✓ | ✓ | ✓ |
| Embedded daily in your tools & standups | ✓ | ✓ | ✕ | ✕ |
| Ongoing, recurring engagement | ✓ | ✓ | ✓ | ✕ |
| Accountable for team output & delivery | ✓ | ✕ | ✕ | ✕ |
| Can coordinate a dedicated India build team | ✓ | ✓ | ✓ | ✕ |
| Fixed scope with a defined deadline | ✕ | ✕ | ✕ | ✓ |
| Best for a single, well-defined project | ✕ | ✕ | ✕ | ✓ |
How we price.
Every engagement is billed hourly. The more embedded the role, the more we ask for a minimum hour commitment, so we can actually move the needle instead of context-switching between five different clients.
Not sure which function you need?
That's normal. Most of the problems we get called in for touch product, data, and operations at once.
Selected work.
A sample of the kind of problems we get called in for. Most of our work happens under NDA, so names and numbers below are illustrative. Specific client references are available on request.
Fixing broken ad tracking that was quietly killing performance
A brand's Meta ad performance had been declining for months. Campaigns were being paused and reworked based on numbers nobody could fully explain, but the creative was never the real problem.
Audited the full tracking chain from ad to landing page and found a batch of broken links pointing to outdated URLs, silently dropping a meaningful share of paid traffic before it ever reached the site.
Fixed the links and rebuilt the tracking. Reported performance jumped, not because the ads got better, but because they were finally being measured correctly.
Tracking down blank screens and failed payments before they cost more customers
Customers were intermittently hitting blank screens at checkout, and a share of payments were silently failing, with no clear pattern and no one owning the issue.
Reproduced the failures across browsers and devices, traced them to a conflict between a third-party script and the checkout flow, and worked with the dev team to isolate and fix it.
Blank screens and failed payments stopped, and a monitoring check went in place so the same failure mode gets caught automatically next time.
Using product-level data to decide what belongs on the PDP and PLP
A brand's product and listing pages were arranged by guesswork. Older products got the same real estate as the strongest sellers, and conversion was suffering for it.
Analyzed product-level performance data to identify the actual top performers, then rebuilt the PDP and PLP layouts to surface those products first.
Conversion improved on the pages that mattered most, and the brand had a repeatable, data-backed process for deciding what to feature next.
Unifying Amazon, GA4, Meta, Klaviyo, and Shopify into one dashboard
A brand's data was scattered across five different platforms: Amazon, Google Analytics, Meta, Klaviyo, and Shopify. Nobody had one place to see how the business was actually performing.
Built a single dashboard that pulled and reconciled data across every channel, so metrics could be compared and cross-referenced instead of living in five separate tabs.
Leadership got one source of truth for the business, and could finally see how channels influenced each other instead of looking at each in isolation.
Rebuilding a storefront's ad tracking from scratch
A DTC apparel brand's Meta and Google ad accounts were reporting numbers that didn't match Shopify. Nobody could tell which campaigns actually worked.
Audited the pixel and GA4 setup, rebuilt server-side tracking, and stood up a dashboard tying ad spend to actual revenue.
Leadership could finally see true ROAS by campaign, and cut spend on channels that were quietly losing money.
Standing up QA and support for a fast-growing marketplace
A marketplace seller platform was shipping features faster than it could test them, and customer issues were piling up in a shared inbox.
Built a QA process for releases, set up Jira workflows the team actually used, and triaged the customer issue backlog.
Release-related complaints dropped, and the team had a clear system for catching bugs before launch instead of after.
Turning three spreadsheets into one dashboard
A B2B SaaS company's leadership team was pulling numbers from three different tools before every board meeting.
Consolidated data sources, configured a single reporting pipeline, and built a live dashboard around the KPIs that actually mattered.
Board prep dropped from days to an afternoon, and the numbers finally agreed with each other.
Fractional product leadership for a seed-stage app
A seed-stage consumer app had engineers but no one setting priorities, and the roadmap changed every week.
Stepped in as fractional CPO, ran discovery with users, and built a prioritized roadmap the team could actually execute.
The team shipped its first stable release cadence and could tell investors what was coming next with confidence.
Sound like a problem you have?
Tell us what's going on and we'll tell you honestly whether we can help.
The Subscription Dilemma: Stay, Pause, or Cancel
Churn rates are at multi-year highs and the brands reversing the trend share one common finding: flexibility retained more customers than any win-back offer.
The squeeze is real: Why subscriber fatigue has moved past streaming The subscription fatigue narrative spent most of 2023 and 2024 attached to streaming video. That framing was accurate but incomplete. According to eMarketer's October 2025 analysis of global subscription trends, the subscription economy is on track to reach $1.2 trillion by 2030, but retention is the defining variable that will determine which brands capture that growth. In the US specifically, 42% of consumers report experiencing subscription fatigue, a number that cuts across product categories and price points.
The consumer behavior data is more granular than the headline suggests. A 2025 Bango survey cited by Motley Fool Money found that 57% of US consumers believe they are spending too much on their subscriptions. More relevant for DTC operators: 36% of subscribers now actively pause and restart subscriptions throughout the year, which means a meaningful share of your subscriber base is already managing its spend through intermittent engagement rather than cancellation. These are not lost subscribers. They are subscribers with intermittent intent, and most DTC brands are converting them into permanent cancellations by making the pause process harder than the cancel process.
36% of subscribers pause and restart their subscriptions across the year, per a 2025 Bango survey.
The Deloitte 2025 Digital Media Trends survey adds a useful benchmark from the streaming category, where the dynamics of subscription fatigue are most mature. Among consumers surveyed, 41% had churned from a streaming service in the prior six months, with millennials reaching 52%. Deloitte's research attributes the churn primarily to price increases and perceived value gaps, a finding that carries direct implications for physical product subscriptions where the same price sensitivity applies and the product itself can create an additional problem: stockpiling.
The stockpile problem nobody builds a solution for Physical product subscriptions have a failure mode that software subscriptions do not. A customer who pauses their Slack account loses nothing. A customer who pauses their supplement or olive oil subscription has inventory sitting in a cabinet. If a brand does not provide an easy mechanism to skip, delay, or adjust cadence, the customer will cancel at the moment they realize they have too much product, and the subscription revenue model that was supposed to reduce CAC has simply moved the acquisition cost forward without solving the underlying retention problem.
The mechanics of this failure are well-established. Most DTC subscription programs default to fixed monthly cadences because that is the easiest model to configure. The problem is that consumable products have variable consumption rates. A customer who buys a case of functional soda in month one and finds herself drinking half as much in month two because of travel, illness, or habit change has three options: let inventory accumulate and feel guilty about it, go through the friction of changing cadence in a portal that may require logging in and navigating three screens, or cancel. Many choose the path of least resistance, which is often cancellation.
Eli Weiss, who served as Director of Customer Experience at Olipop, described the brand's philosophy to co-founders David Lester and Steven Vigilante in an interview with eMarketer: the SMS-based subscription management system Olipop built was designed around a single insight, that the friction in standard subscription portals was converting customers who wanted to pause into customers who had no choice but to cancel. The brand chose to let customers manage deliveries, swap flavors, and adjust timing entirely through text message, removing the login barrier that causes drop-off at the portal stage. This approach was built around a longer-term customer relationship model than most DTC brands explicitly plan for.
The brands winning in subscription retention are not finding better ways to block exits. They are removing the reasons customers feel they need to exit in the first place.
The win-back discount trap The most common response to high churn in a DTC subscription program is a cancel-flow discount. A customer initiates cancellation, a pop-up appears offering 15% or 20% off the next order, and a percentage of those customers accept the offer and stay subscribed. The retention metric goes up. The problem is that this approach systematically trains subscribers to cancel in order to receive a discount, which means the pool of customers who cancel annually grows over time, and the margin cost of retaining them grows with it.
A 2024 analysis from Swell's subscription commerce research team put the LTV math in concrete terms: a 2% reduction in monthly churn, moving from 8% to 6%, extends average customer lifetime from 12.5 months to 16.7 months. That is a 33% increase in LTV from a single focused retention improvement. A 20% discount on a monthly order recovers a fraction of the revenue that would be generated by a subscriber who stays for four additional months at full price.
A 2% reduction in monthly churn extends average subscriber lifetime by 4.2 months, a 33% LTV gain, per Swell's 2026 subscription commerce research.
HelloFresh provides the most visible evidence of what happens when a subscription model depends on promotional pricing rather than genuine value retention. The company reported revenue of approximately €6.8 billion for fiscal year 2025, a 9% decline in constant currency from €7.7 billion the prior year, according to its full-year 2025 earnings release. Management guided for a further revenue decline of 3% to 6% in 2026. The meal kit segment achieved its highest adj EBITDA margin since the pandemic, which tells you something important: efficiency improved because volume declined and the company stopped fighting churn with spend. The subscriber base contracted; the business got leaner. That is the financial profile of a subscription model that was built on acquisition economics rather than retention economics.
HelloFresh's arc is an extreme version of a pattern that shows up at smaller scale across DTC subscription brands. A replenishment subscription that customers joined for convenience, stayed in because exit friction was high, and eventually cancelled in a burst during a budget audit is not a subscription model. It is a delayed cancellation model with better monthly cash flow optics.
What consumers are actually telling you when they churn The Bango 2025 survey data is worth examining at the level of behavior rather than sentiment. When 36% of subscribers are actively pausing and restarting subscriptions throughout the year, the revealed preference is clear: these customers want the product on a flexible schedule, not a fixed one. The cancellation is often a signal that the schedule became more burdensome than the perceived benefit of staying subscribed. That is a solvable product problem, not a pricing problem.
The brands that are retaining subscribers through this environment share a structural feature in their subscription programs: they have made flexibility a genuine part of the value proposition rather than an afterthought in the portal. Skip, swap, pause, and cadence adjustment are front-of-mind features in their post-purchase experience, not buried in an account settings page. The psychological effect of knowing you can skip a month without going through a cancellation flow is distinct from the mathematical effect. Customers who feel in control of a subscription are less likely to audit it as a cost burden and more likely to treat it as a service they are actively choosing to maintain.
The flexibility stack: Rebuilding subscription retention from the product up The instinct for most operators when churn rises is to work on the cancel flow, because that is where the customer is visibly leaving and that is where a retention offer has the clearest effect. The problem with this instinct is that the cancel flow is the last point of contact in a failure that started much earlier. By the time a customer reaches the cancel button, they have already decided to leave. The cancel-flow offer is a negotiation with someone who has already checked out mentally.
A retention architecture that actually compounds starts in three places that have nothing to do with the cancel flow.
Step 1: Cadence defaults that match consumption reality, not operational convenience
Most subscription programs default to monthly delivery because monthly billing is the industry standard and the easiest configuration to maintain. The problem is that consumable products have real depletion rates that vary by customer, and a cadence that creates excess inventory creates a churn trigger that will eventually fire.
The practical fix is to build cadence flexibility into the subscription enrollment flow rather than leaving it as a post-purchase adjustment. Ask customers at sign-up whether they prefer every 30 days, 45 days, or 60 days. Brands with usage data from their own customer base can calculate the average consumption rate by product and SKU, then surface a recommended cadence based on that data. A customer who starts on a cadence that roughly matches her actual usage pattern has no stockpile problem to solve. The skip and pause functionality that most brands build as a retention tool becomes less necessary when the starting cadence is calibrated correctly.
For operators using Recharge, Skio, or Stay AI on Shopify, this is a native configuration decision. The enrollment flow can surface cadence options with framing that makes the longer intervals appealing rather than stigmatized: "Most customers who drink two to three cans per day find every 45 days works better than monthly." Reducing first-order churn, which is where the highest proportion of subscription cancellations occur, requires getting the initial cadence right.
Step 2: Portal design that removes login friction from every management action
The standard Shopify subscription portal requires a customer to log in, navigate to subscription management, locate the correct order, and then find the relevant setting. On mobile, which is where the majority of account management activity happens, this flow produces meaningful abandonment at each step.
Olipop identified this friction point early in building its subscription program. Speaking with eMarketer, co-founder David Lester described SMS-based subscription management as "the most intimate form of connection and communication," and the brand built delivery management, flavor swapping, and cadence adjustment entirely into a text-message interface. The customer receives an upcoming order notification by SMS and can modify the order by replying directly, without opening an app or logging into a portal.
For operators who cannot build a full SMS management layer, the minimum viable version is to surface one-click actions in transactional emails. The upcoming order email, sent three to five days before a shipment, is the most effective place to embed skip, delay, and swap links that execute without requiring login. Most ESP and subscription platform integrations now support this. If your upcoming order email is a plain notification with no management actions, you are sending a churn trigger rather than a retention touchpoint.
Step 3: Lifecycle messaging that reinforces value before customers question it
Subscription retention research consistently identifies the periods around the third and sixth billing cycle as the highest-risk churn windows. In the first two months, a customer is still in the evaluation phase and is paying close attention. After six months, most subscribers who are going to churn voluntarily have either churned or developed a durable habit. The danger zone is in between, when novelty has worn off and habit has not yet formed.
The brands with strong mid-lifecycle retention invest in messaging that reminds subscribers of accumulated value at these moments. This is not a loyalty points ledger. It is content that connects the product to the customer's life in a way that re-anchors the relationship before the customer thinks to audit it. For a consumable food or beverage brand, this looks like usage-focused content, recipe integration, or new product discovery timed to a subscriber's order history. For a supplement or wellness brand, it looks like progress framing tied to consistent use.
Graza's subscription program includes a milestone gift at the six-month mark, an olive wood spoon that arrives with a subscriber's order and serves as a tangible signal that the brand is tracking the relationship. The gesture costs a few dollars per subscriber and is specifically positioned as something subscribers receive, not something they earn through points. The distinction matters because it shifts the frame from a transactional loyalty mechanic to a relationship signal.
The mechanics of pause-first design Building a pause flow that retains more subscribers than it loses requires a specific architecture that most brands do not implement correctly. The typical pause implementation presents pause as an option in the cancel flow, which means the customer has already decided to leave and the pause offer is competing with the cancellation intent. The version that actually works surfaces pause before the customer reaches the cancel intent stage.
The sequence should be: upcoming order notification surfaces skip and delay options proactively, the account portal leads with flexibility features on the main screen rather than burying them in settings, and the cancel flow presents pause with a specific return date (not "pause indefinitely") as the first option rather than the last one.
The specific pause duration matters. Indefinite pause is a delayed cancellation for most customers, because there is no mechanism that prompts them to re-engage. A pause with a 60-day or 90-day return date, confirmed by SMS or email at the time of pause with a calendar reminder sent one week before the return date, performs significantly better at re-activating paused subscribers than an open-ended pause option.
Cancel reason collection, when done at the moment of pause or cancellation, provides the most reliable signal for program improvement. The reasons customers give for cancellation are directional, not always precise, but the pattern across a hundred cancellations is informative in a way that exit survey aggregates are not. "Too much product" points to a cadence problem. "Too expensive" after a price increase points to value communication. "Trying something else" points to an assortment or variety problem. Each of these has a different structural fix.
At the $1M to $10M revenue range, where a dedicated retention ops team is unlikely, the priority sequencing is clear: fix the upcoming order email first (add skip and delay links), calibrate cadence defaults second, and invest in pause flow architecture third. The ROI order roughly matches that sequence. Fixing the upcoming order email requires a developer for half a day and a configuration change in your subscription platform. It is the highest-return retention investment available to a mid-market operator.
What's actually working: How Chewy Turned Replenishment Into 83% of Its Revenue Chewy launched as an e-commerce pet supply retailer in 2011, built on the premise that pet owners needed a more convenient alternative to dragging 40-pound bags of kibble through a big-box store. The subscription program, called Autoship, launched early in the company's history and was positioned around a simple value exchange: set up automatic delivery of any consumable product and get a discount on every order.
The model sounds simple because the core of it is simple. What Chewy built around that core is worth examining in detail, because the results at scale are unlike anything else in DTC subscription commerce.
The numbers: In fiscal year 2025, Chewy reported Autoship customer sales of $10.5 billion, equal to 83.3% of total net sales, up from 79.2% the prior year, according to the company's annual SEC filing. Active customers grew 4% year over year to 21.3 million, and net sales per active customer increased to $591 from $578. Record free cash flow of $562.4 million was driven in part by the high proportion of revenue from subscription customers, who have structurally lower acquisition cost than first-time buyers.
On the Q3 2025 earnings call in December 2025, CEO Sumit Singh described the relationship between Autoship, the Chewy+ paid membership program, and the brand's veterinary care expansion as a three-part flywheel: "We are attracting high-quality customers and are quickly converting them into Autoship, Chewy+ and health programs, which deepens loyalty and increases lifetime value."
Why it worked: Chewy built Autoship around consumable necessity rather than convenience aspiration. Pet food is not a subscription customers evaluate against alternative purchase options each month. It is a category where the purchase is guaranteed to happen on a regular interval and the only variable is where the customer buys it. Autoship made Chewy the path of least resistance for that guaranteed purchase by combining discount, delivery reliability, and in-stock consistency. The discount alone would not have been sufficient. Amazon runs similar discount programs. What differentiated Chewy was service quality, specifically a customer support operation that handles subscription changes, returns, and order issues at a standard that competitors have not matched at scale.
The 83.3% Autoship share of revenue is not simply a reflection of customers who signed up for convenience and forgot to cancel. Chewy's net sales per customer increased year over year, which means existing Autoship customers are spending more, not less, over time. That is the fingerprint of a subscription program with genuine retention rather than cancellation friction.
How to apply this at $1M to $20M:
The Chewy model at scale relies on category characteristics that not all DTC operators share. Pet food is a high-frequency, high-necessity consumable with no meaningful substitution risk. Most DTC subscription products are in lower-necessity categories where the value proposition requires more active reinforcement. But the underlying mechanics apply regardless of category.
Audit what percentage of your subscription revenue comes from customers who have been active for more than six months. If that number is below 40%, your retention problem is a post-onboarding problem, and adding more acquisition spend will not solve it. Fix the six-month retention curve first.
Remove any configuration in your subscription portal that requires more than two taps or clicks to skip, delay, or swap an order. Count the taps required from a cold start on mobile. If the number is above four, you have a friction problem that is producing cancellations that could have been pauses.
Build upcoming order management into your transactional email. Add a single "skip this order" link that executes with one click and no login required. Measure the skip rate for 60 days. If your skip rate increases and your cancellation rate holds flat or falls, you have confirmed that customers were cancelling instead of skipping because skipping was harder.
Segment your cancel reasons into three buckets: product/cadence reasons, value/price reasons, and life reasons (travel, budget change, health shift). Product and cadence reasons are solvable through subscription design changes. Value reasons require a different conversation about your product or pricing. Life reasons are genuinely temporary, and a well-designed pause flow recovers a meaningful share of them.
Track net revenue retention (NRR) from your subscription cohorts, not blended monthly churn. NRR measures whether the revenue from a given subscriber cohort is growing, holding, or declining over time. A subscription program with a blended churn rate that looks manageable can still have deteriorating NRR if the subscribers who cancel are higher-spend customers or if upsell rates are falling. Cohort NRR is the number that tells you whether the subscription model is actually working.
Sources
eMarketer, October 2025 (subscription economy and fatigue data); Bango 2025 subscriber survey via Motley Fool Money, July 2025; Deloitte Digital Media Trends, 2025; Swell subscription commerce research, 2026; HelloFresh SE full-year 2025 earnings release, March 2026; Chewy Inc. annual SEC filing, FY2025; CX Dive coverage of Chewy Q3 2025 earnings call, December 2025; eMarketer interview with Olipop co-founders David Lester and Steven Vigilante.
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