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.
Half your customers are on iPhones. Apple made them almost invisible to your analytics.
It's been getting worse every year since 2023. Here's what's broken, what it's costing you, and how to fix it without a developer.
In this issue: Apple has been quietly dismantling the tracking infrastructure most e-commerce brands depend on, and iOS 26, which shipped in September 2025, is the most aggressive version yet. Half your customers are on iPhones. A meaningful share of their sessions are already invisible to your analytics, your ad platforms, and your attribution stack. Most brands know something is off. Very few have fixed it.
The pattern iOS 17 dropped in September 2023. Most e-commerce newsletters ran a piece on it, called it a privacy update, and moved on. A year later, iOS 18 arrived with more restrictions. In September 2025, iOS 26 rolled out, described by marketing strategy firm Crealytics as "a clear wake-up call for marketing and business leaders," bringing some of the most aggressive browser-level privacy controls Apple has ever shipped.
Here's the pattern: Apple doesn't stop. Every major iOS release since 2017 has added stricter tracking restrictions, not removed them and the trajectory only goes one direction.
The problem is that most DTC and mid-market e-commerce brands are still running a client-side tagging stack built around Google Tag Manager, client-side pixels, and third-party URL parameters, designed for a world Apple has been systematically dismantling for eight years.
The gap between "we know things are changing" and "we've fixed our infrastructure" is where revenue bleeds out.
What Apple actually broke, and what's coming To understand the threat, you need to know exactly what each iOS release did.
iOS 17 (September 2023): Introduced two changes that hit e-commerce stacks hard. Link Tracking Protection (LTP) strips known tracking parameters, including click IDs from Google Ads, TikTok, and Mailchimp, from URLs in Safari Private Browsing, Mail, and Messages. More damaging for most brands: Advanced Tracking and Fingerprinting Protection, when enabled, blocks Google Tag Manager entirely. Every tag in your GTM container stops firing: analytics, conversion pixels, personalization scripts, live chat, CTA widgets. The block happens because GTM loads from googletagmanager.com, a domain Apple treats as a known tracker.
iOS 18 (late 2024): Added "Distraction Control" to Safari, which lets users hide ads and popups with a tap. More critically for paid search: Apple's changes caused Google to stop appending GCLID parameters to ad clicks from iOS traffic. According to tracking analytics firm PEMAVOR, this directly reduces reported web conversions and offline conversions, with no automatic fix available. Your Google Ads ROAS reporting on iOS traffic is now structurally understated.
iOS 26 (September 2025): The most aggressive release yet. Advanced fingerprinting protections tightened significantly. Safari 26 limits identifiers and click-level data across the open web, not just in apps, expanding the visibility gap to nearly every digital channel for iPhone users.
And iOS 26 won't be the last. Apple has explicitly stated in its Safari Privacy White Paper that "the role of the web browser is to act as an agent on behalf of the user" and that Safari "will continue to evolve to prevent tracking." That's not a hint, it's a roadmap.
The scale of the exposure Safari now reaches over 1 billion users globally, accounting for roughly 18% of the global browser market. In the US, iPhones represent more than half the smartphone market. Here's the part that catches most operators off guard: on iOS, every browser uses Apple's WebKit engine. Chrome, Firefox, Brave, Edge, every browser on an iPhone or iPad is subject to Apple's Intelligent Tracking Prevention (ITP). Your iOS visitors face these restrictions regardless of which browser they're using.
Safari's ITP already limits JavaScript-set cookies to a 7-day lifespan. If your attribution window is longer than 7 days, which is standard for most mid-funnel e-commerce, you're losing credit for iOS conversions on returning visitors.
The Advanced Tracking Protection feature that blocks GTM entirely is currently opt-in. But here's the pattern worth watching: Apple's App Tracking Transparency (ATT) started as opt-in in 2020. By 2021 it was the default, and today roughly 95% of US users opt out of app tracking. When Apple makes something opt-in first, it's typically a soft rollout before a default change. The brands adapting now are buying themselves a 12–18 month head start on the next change.
The visible cost: Slower CTAs and broken widgets The attribution gap is the headline issue, but it's not the only one. A more immediate, recoverable cost is CTA performance.
Third-party tools that load via GTM, including personalization widgets, interactive product viewers, 3D/AR commerce features, chat tools, and onsite social proof, all fail silently when GTM is blocked. The visitor lands on the page. The product looks static. The "Try it on" button doesn't appear. The chat widget doesn't load. The visitor bounces.
This is the operational reality behind recommendations like those from Tangiblee, which advises brands to move their scripts to direct installation rather than GTM-based delivery, citing both iOS 17 compatibility and faster CTA load times as the reason. When your conversion-critical widgets depend on a tag manager that iOS blocks, every affected iOS session is a compromised experience. You're not measuring the loss because the session data is also incomplete.
The solution isn't just a tracking fix, it's a performance and experience fix too.
If you're on Shopify, here's exactly what's happening to you Shopify is actually in a better position than most platforms to handle Apple's changes, but only if you know which settings to turn on. Most stores have none of them enabled.
Here's what's happening in plain terms: imagine your store as a shop with a front door and a security camera. Previously, your security camera (GTM, pixels, tracking scripts) could see every customer who walked in from an iPhone. Now Apple has installed a privacy screen on every iPhone camera, meaning your security footage for iPhone visitors is blurry, incomplete, or completely blank, depending on which apps they use. You still know you made sales. You just can't see which ad, email, or campaign sent those customers to you.
Here's how to check if this is affecting your store right now. No technical knowledge needed:
Check 1: Your Meta Event Match Quality score. Go to your Meta Business Manager, then Events Manager, find your Pixel, and look for "Event Match Quality." You'll see a score from 0–10 next to your Purchase event. If it's below 6, Apple's restrictions are significantly degrading your data. Below 4 means Meta's algorithm is working with severely incomplete information when deciding who to show your ads to, which directly inflates your CPMs and CPA.
Check 2: Your Google Ads iOS gap. In Google Ads, go to Campaigns, click any campaign, then Segment by Device. Compare the conversion volume from iOS devices versus Android. If iOS conversions look unusually low relative to your traffic split (most stores are 55–65% iOS traffic but obviously this will differ from company to company), you have a reporting gap. This is your GCLID problem made visible.
Check 3: The ghost test. Open your own store on an iPhone. Go to Safari. Tap the address bar, then tap the "AA" icon on the left, then tap "Hide IP Address" or switch to Private Browsing. Now browse your store, add something to cart, and go to checkout. Then check your GA4 or tracking platform data's real-time view. Are those events showing up? If they're missing or incomplete, that's what Apple is doing to a chunk of your real visitor traffic, every day.
The Shopify-native fix (no developer required) Shopify has quietly built some of the best first-party tracking tools in e-commerce, and most merchants have never turned them on. These are not third-party apps. They're built into your Shopify admin.
Step 1: Enable Shopify's Customer Privacy API. This is Shopify's built-in consent management system. Go to Settings, then Customer Privacy in your Shopify admin. Enabling this means Shopify handles tracking consent properly, which protects you from GDPR issues and keeps your data collection legitimate even as Apple tightens rules. This takes five minutes and requires zero code.
Step 2: Connect Meta Conversions API through Shopify. This is the most impactful single action most Shopify stores can take. Go to your Shopify admin, then Sales Channels, then Facebook & Instagram, then Settings, then Data Sharing. Set Data Sharing to "Maximum." This activates Shopify's native CAPI integration, which sends conversion data directly from Shopify's servers to Meta, bypassing the browser entirely. Apple cannot block this. You'll typically see your Meta Event Match Quality score improve within 48–72 hours of enabling it. No developer, no code, no agency needed.
Step 3: Enable Google Enhanced Conversions via Shopify's Google channel. Same principle as Meta CAPI, but for Google Ads. Go to Shopify admin, then Sales Channels, then Google, then Settings, then Conversion Tracking. Enable "Enhanced Conversions." This lets Google match conversions using hashed customer email from your checkout rather than the GCLID click ID that Apple is now stripping. Built-in, no code required.
Step 4: Check your Shopify Email and SMS settings. If you use Shopify Email or a platform like Klaviyo, ensure your email links use UTM parameters and not just click-ID tracking. Klaviyo's click IDs are not currently stripped by Apple's LTP (unlike Mailchimp's), but UTMs are your permanent insurance. In Klaviyo, go to Account, then Settings, then Tracking and confirm UTM tracking is enabled for all campaigns and flows.
These four steps are the non-technical floor. They won't fully solve the problem. Server-side tracking (covered in the section below) is the complete fix, but these steps recover a meaningful share of lost attribution and cost nothing beyond 30 minutes of your time.
Why your current setup can't be patched The instinct when a tool gets blocked is to look for a workaround. Marketers have been doing this since ITP 1.0 in 2017, and Apple has closed every loophole methodically.
CNAME proxying was a popular workaround: loading tracking scripts from a subdomain of your own site to make them appear first-party. Safari 17 identified and blocked this. Tools like Marketo, Pardot, Segment, and GTM that used CNAME tricks now have their cookies treated as third-party by Safari, limited to a 7-day lifespan regardless.
The core issue is architectural: client-side tracking puts code execution in the browser, where Apple controls the environment. Every client-side fix operates under Apple's rules. When Apple changes the rules, the fix breaks.
The only durable answer is moving execution to a server you control, where Apple's browser restrictions don't reach.
The three-layer fix Brands that have successfully navigated Apple's privacy changes consistently work across three layers: infrastructure, measurement, and channels. Most brands patch one layer and leave the others broken. The playbook below addresses all three.
Layer 1: Move to server-side tracking What it is: Instead of running tracking scripts in the visitor's browser client-side (where Apple can block them), you route events through a server you control, which then forwards clean data to your ad platforms, analytics tools, and CRM.
The setup: Server-side Google Tag Manager (sGTM) is the most accessible entry point for most Shopify and mid-market brands. You run a GTM server container hosted in Google Cloud or a third-party service like Stape, and load your GTM script from a custom domain (analytics.yourbrand.com) instead of googletagmanager.com. Because the script loads from your domain, Apple's blocker doesn't recognise it as a known third-party tracker.
What this fixes: GTM no longer blocked in Safari Private Mode or when Advanced Tracking Protection is enabled. First-party cookies set server-side are not subject to ITP's 7-day limit. Data flows to Meta CAPI, Google Ads enhanced conversions, and GA4 without browser interference. Onsite tools that previously loaded via GTM (widgets, personalization, chat) now load reliably.
Cost benchmark: For brands doing 100K sessions/month, a managed server-side GTM setup runs approximately $150–200/month all-in, including hosting and management. At 1M sessions/month, expect $300–500/month. This is not an enterprise investment - it's a fixed infrastructure cost with measurable ROAS recovery.
Priority tags to migrate first: Conversion pixels (Meta, Google Ads), GA4, checkout event tracking. These have the highest attribution impact. Migrate personalization and engagement tools in phase two.
Layer 2: Rebuild attribution without Click IDs Apple's removal of GCLID from iOS ad clicks means you cannot rely on click-based attribution for a material slice of your traffic. The replacement stack has three components:
Enhanced Conversions (Google) + Conversions API (Meta): Both platforms offer server-side event matching that uses hashed customer data (email, phone, name) instead of device-level identifiers. Match rates above 7.0 on Meta's Event Match Quality score recover most of the attribution lost to iOS. This requires feeding customer data from your CRM or checkout into the API at the point of conversion, not just in the browser.
UTM discipline: With GCLID gone from iOS traffic, manual UTM parameters are no longer optional. They're your primary source of campaign-level attribution data for a significant portion of your traffic. Audit every live campaign for UTM completeness. Mailchimp click IDs are blocked by iOS 17 LTP; Klaviyo click IDs are not (yet). If you're running email attribution on Mailchimp without UTMs, you have a blind spot now.
Marketing Mix Modeling (MMM) as a complement: Deterministic attribution is structurally degrading. Brands doing $10M+ should be layering in lightweight MMM. Tools like Northbeam, Triple Whale, or Rockerbox offer accessible versions to understand channel contribution through regression analysis rather than pixel firing. This is the measurement shift that's becoming baseline, not advanced practice, in a world where 30–40% of your traffic operates under meaningful tracking restrictions.
Layer 3: Shift budget toward channels Apple can't touch The most durable response to iOS privacy changes is reducing reliance on the channels Apple can degrade. Two shifts are delivering measurable returns:
Double down on SMS. Apple's LTP strips tracking parameters from links in Messages and Mail, but SMS itself is an owned channel. You control the list, the send, and the conversion path. Brands using SMS marketing report 90–98% open rates and 18–35% click-through rates. Abandoned cart, post-purchase, and win-back flows generate 54% of total SMS revenue from just 14% of the marketing budget, per 2024 Yotpo data. SMS ROI benchmarks consistently run between $21 and $41 for every $1 spent. If your iOS paid social attribution looks weaker post-iOS 17 (and it does), this is where you redeploy the budget.
Direct install for conversion-critical scripts. For any tool where CTA performance directly affects revenue, including interactive product viewers, personalization engines, product configurators, and live chat, remove the GTM dependency and install directly in your storefront's codebase. The difference in load time and reliability on iOS is measurable in conversion rate.
Implementation checklist Run the three checks above. Meta Event Match Quality score, Google Ads iOS device split, and the ghost test on your own store. Write down what you find. This is your baseline.
Enable Shopify's native CAPI and Enhanced Conversions. Both live inside your Shopify admin under the Facebook and Google sales channels respectively. This is the highest ROI action on this list: 30 minutes, no cost, immediate improvement to your attribution data.
Audit your GTM container. Log into GTM and list every active tag. Then open your store in Safari Private Browsing with Advanced Tracking Protection enabled (Settings, then Safari, then Advanced, then Advanced Tracking and Fingerprinting Protection, set to "All Browsing"). See which of your tools and widgets still load and which go dark. The ones that go dark are your priority migration list.
Check your UTM coverage. Pull the last 30 days of email and SMS campaigns. Confirm every link has UTM parameters attached. If you use Mailchimp, this is urgent. Mailchimp click IDs are already being stripped by Apple. If you use Klaviyo, enable UTM tracking in your account settings if it isn't already on.
Get a server-side tracking quote. For Shopify stores, Elevar is the most purpose-built option. It's a Shopify app that handles sGTM setup and management without requiring you to configure Google Cloud yourself. For a broader agency quote, contact Stape. For most brands this is a 2–4 week project costing $150–500/month ongoing. Understanding the scope is the prerequisite to making the decision.
What's actually working: How a Supplement Brand Stopped Firefighting Its Data A leading supplement brand on Shopify, covered by agency Swanky in verified case reporting published June 2025, experienced a critical tracking outage in Q1 2025 that exposed a compounding attribution problem: low event quality scores on Meta purchases (particularly External ID and Click ID matching), gaps in GA4 reporting, and an inability to distinguish new versus returning customer purchases in ad platforms.
The fix was a full migration to server-side tracking using Elevar's sGTM implementation, combined with an enriched data layer that added new event types, including the new/returning customer distinction, that the brand's previous client-side setup couldn't reliably capture.
The outcome: Since deployment, tracking was described as "robust and uninterrupted." The brand moved out of firefighting mode into a steady rhythm of data-led decision-making. Stakeholders gained access to insights that had previously been unavailable, specifically which acquisition campaigns were driving new customers versus re-engaging existing ones, enabling more effective budget allocation to high-value segments.
Why it worked: The server-side setup bypassed the browser-level restrictions that had been degrading data quality, and the enriched event schema gave the ad platforms, particularly Meta, cleaner signal to optimise against. Higher event match quality means the algorithm can find more customers who look like your best buyers. Lower match quality means it's flying partially blind.
How to steal it: Don't wait for an outage. Run your Meta Event Match Quality score now. Anything below 6.0 is a problem; below 4.0 is a crisis. Add new/returning customer as a custom parameter on your purchase event. This single data point transforms how you can segment acquisition versus retention spend. Implement server-side before your next peak period, not after. Migrations under pressure get cut short. A Q3 implementation gives you a clean Q4. If you're sub-$3M revenue and a full sGTM build feels heavy, start with Meta Conversions API via a native Shopify integration. Shopify has a built-in CAPI connector that gets you 60–70% of the benefit with minimal technical lift.
(Source: Swanky Agency case study, June 2025; Elevar server-side tracking documentation)
The strategic frame Apple's privacy roadmap is not slowing down. iOS 26 has shipped. iOS 27 will follow the same direction. The brands that treat this as an infrastructure problem to solve once, rather than a series of fires to put out each year, are the ones building durable measurement capabilities.
The client-side GTM stack was built for a different internet. That internet is gone. The brands winning on data right now moved to server-side tracking 12–18 months ago and are now watching their attribution hold steady while competitors try to reconcile why their ROAS reports don't match their Shopify revenue dashboard.
The migration window where you can do this methodically, before Advanced Tracking Protection becomes the iOS default, is open now. It won't be open forever.
Sources
Littledata (Oct 2023), PEMAVOR (Oct 2024), McGaw.io / Z2A Digital (2025), Crealytics (Nov 2025), Seresa.io (Jan 2026), Stape (2025), Elevar / Swanky Agency (Jun 2025), Yotpo 2024 Review (Jan 2025), Klaviyo blog (Jul 2025)
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