How Never Fully Dressed Turned Marketing Chaos Into Confident, Connected Decisions

Fabio Cancemi, Head of Digital, and Sophie Drake, Senior Ecommerce Manager, at Never Fully Dressed

Adclear and DOJO AI partnership graphic: 'Close the loop on agentic marketing. Compliance at the speed of creation.'

My role covers e-commerce and digital marketing for a size-inclusive fashion brand we sell direct-to-consumer and through ASOS, Selfridges, Fenwick, and Harvey Nichols. That mix of agencies and in-house channels comes with an account structure that grew more complex as we scaled: two Google Ads accounts split by region, three Meta accounts split by currency, and GA4, Search Console, and Shopify sitting on the side, with GBP and USD figures I couldn't just add together. A lot of data, spread across a lot of platforms, none of it talking to each other.

For years I held that together in Looker Studio, rebuilding the dashboard by hand every time someone asked a new question. It cost me hours every week, and I still didn't fully trust what I was presenting when I was done.

Handing off the "why," not just the "what"

The biggest shift for me wasn't a report I read, it was an instruction I gave once. A drop or a spike that someone was eventually going to ask about used to sit unexplained for a day or two while I found the time to dig into it, and a real problem left unexplained that long can turn into lost revenue before anyone notices. So I told DOJO: don't wait for me, go find out why and tell me what happened. It took that and ran with it. The next time a channel dropped, it had already traced the cause, worked out we'd been pushing sale through that channel the week before, so the drop was a natural pull-back rather than a real problem, and had it summarized and ready before anyone even asked.

That's the part I push back on when the DOJO team describes DOJO as a "junior marketing executive." The way I use it, it's operating a level above that: it's carrying a standing responsibility I handed it, not waiting around for me to have time to ask a question.

Time that used to go into firefighting now goes into decisions that actually move the business.

The same shift shows up outside paid media, too. Manual product analysis for our merchandising team that used to take a couple of hours in Excel now takes a few minutes, roughly a 90% cut in the time I spend on it, the last time I ran the same analysis myself, with a bit of refinement.

Built to be honest, not agreeable

None of that would carry weight if I couldn't trust what DOJO was telling me, which is why the one thing I asked for when I set it up was a personality: stop being so agreeable, just be honest, and correct me when I'm wrong. It delivered, to the point that it's genuinely a bit relentless. I'd forgotten a report was running in the background, went to update it with current data, and it told me, plainly, that this was the fifth week running the same issue still hadn't been fixed. It caught me off guard the first time, but it's exactly the tone I wanted: something that keeps score instead of just being agreeable.

That directness paid off on something with real budget implications. In its very first weekly review, DOJO flagged that one of our brand campaigns was running well under Google's own recommended budget, and instead of mentioning it once and moving on, it kept surfacing the same finding, week after week, for six weeks straight. Most tools would have raised it once and let it sit unread in a report nobody reopened. DOJO kept it in front of me until I actually acted on it, which is the difference between a dashboard and something that actually changes what you do.

My colleague Sophie, our Senior Ecommerce Manager, picks up the story from the content and site-experience side:

A year of backlog, turned into a plan

I came back from a year of maternity leave to a site that had moved on without me: new pages added, old ones left untouched, and nobody quite sure which ones still mattered. We're also mid-migration to a new Shopify theme, so working through a year of backlog by hand wasn't realistic.

I ran a full SEO audit with DOJO first. Some of it we already knew from previous audits, but there was a lot it highlighted that I could just tidy up, roughly 40 things I could act on directly, on top of dead pages with no traffic and pages quietly competing against each other for the same terms. That mix of familiar and new is what built my trust in it. I used the same process to simplify our top and bottom nav, cutting duplicate pages we'd meant to clean up for ages.

It's become a loop: I update a collection page or a piece of content, then ask DOJO what else is worth optimizing. I've also had it build a UX audit and an A/B test plan, and I'm running some of those tests now.

GEO is the part I couldn't have tackled alone. I don't know how to optimize for how AI engines read us, so I asked DOJO to help, and it did.

It's useful for smaller questions too. A teammate asked if our knitwear pages were outperforming wedding guest yet. DOJO said not yet, and told me to check back in early-to-mid September, rather than just reporting where we stood that day.

Back to Fabio, on why that groundwork matters:

Generic AI got me halfway there

None of that persistence or context happens by accident, and it isn't something I take for granted, because I've used the alternative. I'm not new to AI. I'd spent two or three years running ChatGPT, Claude, and Gemini for analysis before DOJO, so I know their capabilities and their limits. What I found myself doing was still manual: dumping data in, asking for recommendations, getting a nice structured answer back that was missing context. I'd have to be very specific and feed it extra information every time. It helped, but it stayed time-consuming.

DOJO was different from day one, because it already understood marketing and e-commerce as its backbone. I don't have to explain myself. I can use acronyms, use any shorthand I want, and it's straight on point. When your numbers are split across regions, currencies, and channels the way ours are, that saved context is the difference between a tool you have to manage and one you can actually rely on to manage that complexity for you.

How Never Fully Dressed Turned Marketing Chaos Into Confident, Connected Decisions

Fabio Cancemi, Head of Digital, and Sophie Drake, Senior Ecommerce Manager, at Never Fully Dressed

Adclear and DOJO AI partnership graphic: 'Close the loop on agentic marketing. Compliance at the speed of creation.'

My role covers e-commerce and digital marketing for a size-inclusive fashion brand we sell direct-to-consumer and through ASOS, Selfridges, Fenwick, and Harvey Nichols. That mix of agencies and in-house channels comes with an account structure that grew more complex as we scaled: two Google Ads accounts split by region, three Meta accounts split by currency, and GA4, Search Console, and Shopify sitting on the side, with GBP and USD figures I couldn't just add together. A lot of data, spread across a lot of platforms, none of it talking to each other.

For years I held that together in Looker Studio, rebuilding the dashboard by hand every time someone asked a new question. It cost me hours every week, and I still didn't fully trust what I was presenting when I was done.

Handing off the "why," not just the "what"

The biggest shift for me wasn't a report I read, it was an instruction I gave once. A drop or a spike that someone was eventually going to ask about used to sit unexplained for a day or two while I found the time to dig into it, and a real problem left unexplained that long can turn into lost revenue before anyone notices. So I told DOJO: don't wait for me, go find out why and tell me what happened. It took that and ran with it. The next time a channel dropped, it had already traced the cause, worked out we'd been pushing sale through that channel the week before, so the drop was a natural pull-back rather than a real problem, and had it summarized and ready before anyone even asked.

That's the part I push back on when the DOJO team describes DOJO as a "junior marketing executive." The way I use it, it's operating a level above that: it's carrying a standing responsibility I handed it, not waiting around for me to have time to ask a question.

Time that used to go into firefighting now goes into decisions that actually move the business.

The same shift shows up outside paid media, too. Manual product analysis for our merchandising team that used to take a couple of hours in Excel now takes a few minutes, roughly a 90% cut in the time I spend on it, the last time I ran the same analysis myself, with a bit of refinement.

Built to be honest, not agreeable

None of that would carry weight if I couldn't trust what DOJO was telling me, which is why the one thing I asked for when I set it up was a personality: stop being so agreeable, just be honest, and correct me when I'm wrong. It delivered, to the point that it's genuinely a bit relentless. I'd forgotten a report was running in the background, went to update it with current data, and it told me, plainly, that this was the fifth week running the same issue still hadn't been fixed. It caught me off guard the first time, but it's exactly the tone I wanted: something that keeps score instead of just being agreeable.

That directness paid off on something with real budget implications. In its very first weekly review, DOJO flagged that one of our brand campaigns was running well under Google's own recommended budget, and instead of mentioning it once and moving on, it kept surfacing the same finding, week after week, for six weeks straight. Most tools would have raised it once and let it sit unread in a report nobody reopened. DOJO kept it in front of me until I actually acted on it, which is the difference between a dashboard and something that actually changes what you do.

My colleague Sophie, our Senior Ecommerce Manager, picks up the story from the content and site-experience side:

A year of backlog, turned into a plan

I came back from a year of maternity leave to a site that had moved on without me: new pages added, old ones left untouched, and nobody quite sure which ones still mattered. We're also mid-migration to a new Shopify theme, so working through a year of backlog by hand wasn't realistic.

I ran a full SEO audit with DOJO first. Some of it we already knew from previous audits, but there was a lot it highlighted that I could just tidy up, roughly 40 things I could act on directly, on top of dead pages with no traffic and pages quietly competing against each other for the same terms. That mix of familiar and new is what built my trust in it. I used the same process to simplify our top and bottom nav, cutting duplicate pages we'd meant to clean up for ages.

It's become a loop: I update a collection page or a piece of content, then ask DOJO what else is worth optimizing. I've also had it build a UX audit and an A/B test plan, and I'm running some of those tests now.

GEO is the part I couldn't have tackled alone. I don't know how to optimize for how AI engines read us, so I asked DOJO to help, and it did.

It's useful for smaller questions too. A teammate asked if our knitwear pages were outperforming wedding guest yet. DOJO said not yet, and told me to check back in early-to-mid September, rather than just reporting where we stood that day.

Back to Fabio, on why that groundwork matters:

Generic AI got me halfway there

None of that persistence or context happens by accident, and it isn't something I take for granted, because I've used the alternative. I'm not new to AI. I'd spent two or three years running ChatGPT, Claude, and Gemini for analysis before DOJO, so I know their capabilities and their limits. What I found myself doing was still manual: dumping data in, asking for recommendations, getting a nice structured answer back that was missing context. I'd have to be very specific and feed it extra information every time. It helped, but it stayed time-consuming.

DOJO was different from day one, because it already understood marketing and e-commerce as its backbone. I don't have to explain myself. I can use acronyms, use any shorthand I want, and it's straight on point. When your numbers are split across regions, currencies, and channels the way ours are, that saved context is the difference between a tool you have to manage and one you can actually rely on to manage that complexity for you.

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FAQ

Frequently asked questions

Frequently asked questions

What is DOJO AI?

DOJO is an intelligent marketing system that watches every channel continuously, builds a living knowledge graph of your brand's marketing reality, and deploys specialised agents that execute work autonomously before you've had to ask. Not a tool. Not a platform. A system. Every signal your brand produces flows in, every action feeds back, and the system compounds its understanding over time. Most marketing software gives you data. DOJO gives you a system of record, context, and execution: one place where everything is captured, connected, and acted on. Instead of switching between Google Ads, Meta, LinkedIn, GA4, and social dashboards, you get one intelligent system that shows you what's working across all channels - and tells you exactly what to do about it. Specialized AI agents analyze your campaigns 24/7, identify opportunities competitors miss, and help you move faster than companies 10x your size.

Who is DOJO built for?

DOJO is built for marketing teams that want to spend their time on decisions that require human judgment, not on tasks that don't. If your team is stretched across too many channels, too many tools, and too many reports, DOJO replaces the operational burden with a system that runs continuously and arrives with work already done. It's used by in-house marketing teams, agencies managing multiple client accounts, and founders who want the output of a full marketing department without the overhead of one.

Is DOJO suitable for marketing agencies?

Yes. Agencies are one of DOJO's core use cases. The system connects across multiple client accounts, automates reporting and content production, and runs campaign monitoring continuously — so account managers spend time on client relationships and strategy, not on manual tasks that don't require their judgment. DOJO builds a separate knowledge graph for each client, so every recommendation and every piece of content is grounded in that client's actual brand history, not generic best practice.

How does DOJO work with existing tools?

DOJO connects to your existing channels through proprietary connectors and a live web crawler. Google Ads, Meta, LinkedIn, your website, brand mentions, competitor movements — everything flows in automatically, with no manual pulls required. You don't have to replace your stack to use DOJO. The system reads your existing data, connects it, and builds context on top of it. Over time, that context becomes the foundation for every recommendation and every action DOJO takes on your behalf.DOJO builds a separate knowledge graph for each client, so every recommendation and every piece of content is grounded in that client's actual brand history, not generic best practice.

What ROI can I expect?

DOJO customers typically see measurable cost reductions and efficiency gains within the first 90 days, with outcomes compounding as the system builds context over time. Here's what customers have reported: 79% drop in cost per acquisition(Morningstar) 3x conversion volumein the same 23-day window (Morningstar) 40% drop in acquisition costs(Broadvoice) 15x faster marketing reporting(Ozone API) 3x more efficient Google Adsquarter over quarter (Ecologi) 290% increase in content output(Broadvoice) 20 hours saved per month, returned to strategy (Morningstar) The compounding effect matters here. The longer DOJO runs, the more context it builds, and the more precisely it acts. Early results are strong; they get better.

How does DOJO compare to HubSpot, Jasper, or other AI marketing tools?

Most AI marketing tools fall into one of two categories: workflow automation (HubSpot, Marketo, ActiveCampaign) that executes campaigns you set up, or content generation (Jasper, Copy.ai) that produces copy on demand. Both share the same limitation: they start from scratch every session. No memory of your brand history, your previous campaigns, or what your competitors have been doing. DOJO maintains a continuously updated knowledge graph of your entire marketing reality and runs specialised agents that read it daily, surface what needs attention, and execute work before you've asked. The longer DOJO runs, the more precisely it acts — because it compounds what it learns about your specific brand, market, and competitors. If you're evaluating options: Email and workflow automation: HubSpot, Klaviyo, Marketo AI content writing: Jasper, Copy.ai A system that watches every channel, builds brand context, and executes proactively: DOJO

Does AI marketing software actually improve over time, or does it reset every session?

Most AI marketing software resets every session. It has no memory of your brand, your campaigns, or what worked before. Every interaction starts from a blank slate. DOJO works differently. Every signal it captures, every workflow it runs, every recommendation it makes is fed back into the DOJO Graph. The system learns what works for your specific brand, in your specific market, against your specific competitors. It builds institutional knowledge that no other system carries. A team that's been using DOJO for six months has a system that understands their brand history, their campaign patterns, and their market in detail. That depth of context changes what the agents can do. The advantage grows every day the system runs, and it never stops running.

How does DOJO handle data security and privacy?

DOJO is built on enterprise-grade infrastructure with security and data privacy at its core. Your brand data, campaign history, and knowledge graph are kept entirely separate from other customers' data. For detailed information on data handling, storage, and compliance, see our Privacy Policy and Data Processing Agreement, or speak to our team directly when you book a demo.