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.
Your blog is bleeding traffic. Your product pages are probably fine.
The May 2026 core update is finishing its rollout this week. Here's what it's actually hitting, and how to stop misreading your analytics.
Google's May 2026 core update wrapped its rollout in early June, the third aggressive core update since October 2025. The March 2026 update alone shifted nearly 80% of top-3 rankings. Google removed the method for identifying AI Overview-driven clicks in early May 2026, meaning organic session counts now undercount reality, though the direction they show remains accurate.
AI Overviews appear in roughly 25% of all Google searches, more than double a year ago, and cut organic click-through by 61% when they appear. But informational queries see 30-40% traffic declines while shopping-intent queries see AI Overviews on only 3.2% of searches. Your product pages are far less exposed than your blog.
Ranking well no longer reliably means appearing in an AI Overview: the overlap between top-10 rankings and AI Overview citations has collapsed from 75% in mid-2025 to 17-38% in early 2026. Brands cited in AI Overviews get 35% more organic clicks and 91% more paid clicks for the same queries.
The specific e-commerce exposure to audit right now Segment your top pages by content versus transactional type in Search Console and compare year-over-year clicks; a sharp bifurcation confirms the pattern. Check robots.txt for AI crawler blocks. Run your top 20 SKUs through Google's Rich Results Test to check Product schema completeness.
Rebuilding for GEO, not just SEO AI systems favor short, declarative paragraphs with specific data points and clear subheadings over narrative-heavy writing. For product pages, Google's AI Shopping system evaluates 47 attributes; complete Product schema (GTIN, brand entity, material, return policy, review aggregate) is the foundation.
What's actually working SALT.agency's analysis of the top 100 UK and US e-commerce sites found 45% of product URLs had no structured data at all, and another 27% had errors, meaning 72% of category leaders are effectively invisible or unreliable to AI systems. Correct, complete schema creates separation from most of the competitive set without any content spend.
Sources
SISTRIX, March 2026 core update data; Seer Interactive, September 2025; Mersel AI, March 2026; SALT.agency, April 2026; BrightEdge, September 2025.
Have a problem like this one?
Tell us what's going on. We'll tell you honestly whether we're the right fit.
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What happens next
We read what you send and ask clarifying questions if we need to.
We get on a short call to understand the problem, not just the request.
We tell you honestly whether we're a fit, and propose an engagement.
Prefer email?
theecommerceoperator@gmail.com