Hire us

AI Marketing Service That Ships Tests Weekly

Automate optimisation, accelerate creative production, and improve funnel performance with a senior pod running evidence-led sprints.

Proprietary AI marketing tools
Unlimited creative production included
No commission on ad spend
Book a call
Reviewed on
4.9
4.900000
5 Star Agency

Where AI creates leverage

AI creates leverage when it increases throughput and improves decisions, not when it replaces strategy. The highest impact areas are creative iteration, segmentation, and optimisation loops that would be slow manually. The aim is more learning per week: more angles tested, faster feedback, and clearer prioritisation. Paired with senior oversight and clean measurement, this can reduce wasted spend and improve conversion across the funnel. Without those foundations, AI often just scales inefficiency faster.
  • Faster creative and testing velocity
  • Smarter segmentation and scoring
  • Better optimisation with guardrails

What an AI marketing service includes

An AI marketing service applies machine learning and automation to improve performance across the funnel, without removing human judgement. We use AI where it is strongest: audience segmentation, creative iteration, bid and budget optimisation, and faster analysis of what is working. The goal is to reduce repetitive manual work, increase testing velocity, and make better decisions with less noise. You still get a senior team defining hypotheses, setting guardrails, and translating signals into action.

Segmentation and scoring

Build high-intent segments and lead scores using behavioural and first-party signals, then route users into the right ads and journeys. This improves match quality between message and audience at scale.

Creative at testing volume

Generate and iterate ad concepts, variations, and hooks quickly, while keeping brand guardrails. We use structured creative testing to find winners and manage fatigue across placements.

Automated optimisation loops

Use rules and model-driven optimisation for bids, budgets, and cadence, then review outputs weekly. Human oversight ensures the system optimises to business outcomes, not platform vanity metrics.

Book a call

How we apply AI across the funnel

We use AI to speed up planning, production, and optimisation, then validate impact with a structured testing cadence. At TOFU we expand reach through better targeting and creative exploration. At MOFU we personalise nurture with behaviour-based flows and predictive scoring. At BOFU we run CRO experiments and tighten tracking so conversion data is reliable. Post-purchase, we use segmentation to drive onboarding, reactivation, and upsell. AI supports scale, but the strategy stays outcome-led: CAC, payback, and LTV.

TOFU: creative and audience discovery

Scale testing of angles and audiences while keeping cost and quality guardrails. We learn faster which promises and hooks pull qualified traffic, then expand with structured iteration.

MOFU: personalised nurture at scale

Use predictive scoring and segmentation to tailor emails, remarketing, and on-site messaging. This keeps follow-up relevant, improves intent, and reduces drop-off through the journey.

BOFU+: CRO and lifecycle automation

Run landing page and checkout tests, then build post-purchase flows that increase retention. Cohort reporting shows whether improvements lift LTV and shorten payback, not just first-order ROAS.

Meet the pod

Measurement, guardrails, and safety

AI can optimise the wrong thing if measurement is messy. We start by tightening foundations: event definitions, UTM hygiene, and consistent conversion logic across platforms and analytics. Then we apply guardrails to automation, like spend caps, audience exclusions, and creative approvals, so the system stays on strategy. Where budgets justify it, we add incrementality checks to understand true lift beyond last click. You get a real-time dashboard and weekly decisions, not black-box automation.

Clean tracking before automation

Define events and conversions clearly in GA4 and ad platforms, then standardise UTMs. This reduces reporting conflicts and prevents automated systems optimising to noisy or duplicated signals.

Guardrails for bids and creative

Set practical constraints on budgets, audience expansion, frequency, and approvals. Automation runs within these limits, while senior operators review outputs and adjust strategy weekly.

Incrementality where it matters

Use controlled tests when feasible to validate causal impact, especially for upper funnel and broad targeting. This helps separate genuine lift from attribution artefacts and platform bias.

Get an audit

Our AI plus humans approach

We combine a senior growth pod with a proprietary suite of AI marketing tools to accelerate execution. AI helps with repetitive work like variant generation, pattern detection in performance data, and operational automation. Humans define the hypothesis, the audience strategy, and the guardrails, then validate outcomes through structured experiments. You get the speed of automation with accountability and clarity. The aim is to deliver faster than building an in-house team, without the overhead of permanent headcount.
  • AI accelerates repetitive tasks
  • Senior oversight and decisions
  • Weekly sprints and transparency

Book a discovery call

  1. 1 ABOUT YOU
  2. 2 YOUR NEEDS
  3. 3 BOOKING
I agree to the Privacy Policy

Which of our services do you need?

Type

Size

Funding

We'll email you shortly
Prefer to call now?
USA
+1 (347) 657 3386
UK
+44 203 870 3186

When AI marketing makes sense

AI marketing is most valuable when you already have meaningful data and a clear commercial goal. Typical triggers include creative fatigue, rising CAC, slow reporting, or a team spending too much time on manual optimisation. It is also useful when you need to scale output quickly, such as producing many creative variations or personalising lifecycle journeys. If your fundamentals are weak, we start with tracking, offers, and funnel basics before adding more automation.
  • Best with data and volume
  • Great for creative throughput
  • Starts with strong fundamentals
What is an AI marketing service, in practice?
An AI marketing service uses machine learning and automation to improve marketing execution across the funnel. In practice, that usually means faster segmentation, more scalable creative iteration, smarter optimisation loops, and quicker analysis of performance data. AI does not replace strategy. It speeds up repetitive work and helps surface patterns, while humans define the plan, set guardrails, and validate impact through experiments tied to CAC, payback, and LTV.
Where does AI deliver the biggest marketing wins?
AI tends to deliver the biggest wins where volume and repetition exist: creative testing, audience segmentation, bid and budget optimisation, and lifecycle personalisation. These tasks are time-consuming manually, so automation increases testing velocity. The key is pairing AI output with a measurement layer you trust. Without clean events and consistent conversion definitions, automation often optimises to noise and scales the wrong behaviours.
Do you use AI to generate ads and landing pages?
Yes, we can use AI to accelerate creative production and iteration, especially for ad concepts, hooks, variations, and supporting copy. For landing pages, AI can help propose variants, but changes still need CRO discipline and human review. We keep brand guardrails in place and treat creative as a testing programme. The goal is not novelty, it is finding and scaling the messages that convert and remain sustainable over time.
How do you prevent AI from wasting budget?
We start with clean tracking and clear conversion definitions so optimisation signals are reliable. Then we apply guardrails such as spend caps, audience exclusions, frequency controls, and creative approvals. Automation runs inside those constraints, and senior operators review outputs weekly. If performance moves for the wrong reason, we adjust the rules, tighten targeting, or change the optimisation goal to align with business outcomes.
What data do you need to run AI marketing well?
You need clean first-party signals and a consistent measurement layer. That typically includes site or product events, CRM stages, and a clear definition of what a high-quality lead or customer looks like. If data is messy, we begin by standardising events, UTMs, and lifecycle stages. AI models do not fix bad inputs. They amplify them, which is why foundations come before advanced automation.
How does AI help with attribution and incrementality?
AI can support better attribution by modelling touchpoints across the journey rather than relying on last click. In practice, that means using multi-touch thinking to understand how channels assist each other and to guide budget allocation. Where budgets justify it, we prefer adding incrementality checks like holdouts to validate lift. This helps separate true impact from attribution artefacts and improves confidence when scaling upper funnel spend.
Which channels and platforms can you support with AI?
We typically apply AI-supported workflows across paid social, paid search, landing pages, and lifecycle channels like email and CRM. The exact mix depends on your funnel, data availability, and what needs to move to improve unit economics. Our focus is integrated execution. AI is most effective when creative, media, CRO, and lifecycle work are coordinated, so learnings from one stage feed directly into the next.
How quickly can we see impact from AI marketing?
You can often see early signal within weeks from faster creative testing, better segmentation, and improved optimisation routines. Larger improvements compound as measurement tightens and learnings carry across channels and lifecycle. The first month usually includes a baseline, tracking validation, and initial experiments. Long-term gains come from consistent throughput, clear decision rules, and using AI to increase the number of quality tests you can run.
When is an AI marketing service not a fit?
If you have very limited data, cannot implement changes regularly, or need a one-off campaign deliverable, an AI marketing service may not be the best use of budget. AI needs iteration and feedback loops to be effective. It is also not a fit if you want a fully automated black box with no oversight. We run AI with guardrails, human review, and clear accountability, so outcomes are explainable and aligned to your targets.

Creator Content

Creator Content that integrates authentic influencer relationships with full funnel growth

Learn more

PPC

Access top PPC talent and strategies to boost growth and outsmart competitors

Learn more

App Store Optimisation

Improve app rankings and maximize installs with expert App Store Optimisation services

Learn more

Conversion Rate Optimisation

Maximize your conversions with our world-class conversion rate optimisation team

Learn more

Facebook Ads

Maximize your Facebook Ads with our expert team—achieve unprecedented results

Learn more

Retargeting

Re-engage unconverted leads with personalized retargeting—right message, right time

Learn more

Growth Marketing

Systematically grow your key metrics monthly with our growth marketing subscription

Learn more

Creative Production

Expert creative production of high-performance ads for any channel

Learn more

Landing Pages

Boost conversion rates with landing pages optimized through data-driven experimentation

Learn more

Hire Our Leading Digital Marketing Agency

Leave your details and our team will respond within 24 hours

  1. 1 ABOUT YOU
  2. 2 YOUR NEEDS
  3. 3 BOOKING
I agree to the Privacy Policy

Which of our services do you need?

Type

Size

Funding

We'll email you shortly
Prefer to call now?
USA
+1 (347) 657 3386
UK
+44 203 870 3186