INARI Digital

27/05/2026

A brand uses AI to produce three months of content in three weeks.

The volume is real, the output is coherent and the team has capacity back.

Six months later they have more reach than before but the quality of inbound has not shifted. Prospects arrive with the same questions, at the same level of awareness, with the same misalignment.

The AI did exactly what it was used for. It accelerated the ex*****on of a strategy that had not changed.

The problem was never volume. It was the absence of a clear point of view about what the content was trying to change in the audience's understanding.

AI cannot perform that diagnosis. Speed in the wrong direction is not an advantage.

26/05/2026

AI is very good at acceleration.

What it has not changed is the quality of the question being answered.

The inputs - the diagnosis of the actual problem, the understanding of the buyer's psychology, the architectural logic of how channels connect - these require something AI does not have.

Judgement formed through exposure to how growth systems actually behave under pressure. The ability to distinguish between a symptom and a cause.

AI replaces the work that should have been automated anyway. It does not replace the thinking that determines whether the work is worth doing.

The agencies at risk are not the ones using AI. They are the ones that were never doing the thinking AI cannot do.

07/05/2026

More data does not produce better decisions. Better questions do.

Most growth teams have access to more performance data today than at any previous point. Dashboards have become more sophisticated. Reporting cycles have become faster.

And yet the quality of growth decisions has not kept pace with the volume of information available.

Data describes events. It does not explain the human experience behind them.

The question is not whether you have enough data. The question is whether the people reading it are asking what the behaviour means — or simply recording what the number did.

06/05/2026

Issue 7 of the Marketing Memo is live on LinkedIn.

This one is about the question that changes everything in performance analysis.

Not what changed but what the buyer was experiencing at the moment it did.

Your data is not lying to you. It is describing behaviour. The question is whether you are trained to read what it is actually saying.

Read the full issue on LinkedIn.

Your data is not lying to you. It is describing behaviour. The question is whether you know how to read what it is actually saying.

05/05/2026

Issue 6 of the Marketing Memo is live on LinkedIn.

This one is about the signals your customer sends before they leave, and why most brands are not designed to read them.

Abandonment is rarely sudden. Before a buyer drops off, they almost always show you something is wrong. In the way their behaviour slows, the page they return to or the form they started and stopped.

These are not random actions. They are diagnostic signals.

Read the full issue on LinkedIn.

Most brands track when a buyer leaves. Few are designed to read the signals they send before they do. We explore this in issue 6 of Marketing Memo's

05/05/2026

Three performance signals and what they are actually describing.

1. High impressions, low engagement.
Not a creative problem. The content is accurate but mistimed so it's speaking to a stage of awareness the buyer has not yet reached.

2. Strong mid-funnel engagement, poor conversion.
Not an offer problem. The buyer has interest but unresolved doubt. Something in the journey has not provided the signal they need to proceed.

3. Low ROAS despite strong creative.
Not a channel problem. The buyers being acquired are not the ones the post-conversion experience is designed to serve well.

The metric tells you what is happening. The behaviour tells you why.

04/05/2026

A high click-through rate and a low conversion rate are not a creative problem.

They are a behavioural diagnosis.

When a large proportion of buyers click and a small proportion convert, something specific is happening between the ad and the action. The cause is almost never the thing the dashboard points to.

Reading performance data through a behavioural lens starts with a different question.

Not: what dropped?
But: at what point in the buyer's experience did something stop working and what were they looking for that the journey failed to provide?

The answer is rarely in the dashboard.

22/04/2026

Abandonment is not a decision. It is a feeling that goes unresolved.

By the time a buyer leaves your funnel, something happened - a moment of doubt, a friction point that felt too hard to push through, a signal that the experience was not what the promise implied.

There are usually four moments where this happens - at arrival, at evaluation, at commitment, and at follow-through.

Most funnels are optimised for click-through rates. Very few are designed for the psychological journey of the person doing the clicking.

Which of these four moments is where you lose most buyers?

21/04/2026

Most growth marketing strategies are built around the channel.

Very few are built around the person using it.

There is a difference between knowing that a buyer clicked an ad and understanding what mental state they were in when they did. One tells you what happened. The other tells you whether the next step in your funnel is designed to meet them where they actually are.

Purchase decisions are not rational. They are not linear. They are shaped by cognitive shortcuts, emotional triggers, trust signals and friction points that operate largely beneath conscious awareness.

Growth systems that ignore this dynamic do not fail loudly. They fail slowly in the gap between what the dashboard shows and what the business actually keeps.

Understanding the psychology behind the purchase is not a creative exercise. It is a diagnostic one.

27/03/2026

Most scaling brands that come to us are not struggling because they lack marketing activity. They are struggling despite having plenty of it.

Competent agencies, active channels and reasonable results within individual reports. And yet growth remains volatile, acquisition costs keep rising, and no single team can clearly account for why.

The problem is seldomly inside a channel. It almost always sits in the connections between them and the conventional agency model was not designed to address those connections.

This article explains why INARI was built differently, what that means in practice, and the specific kind of organisation it is designed to serve.

Read it at the link below 👇

A growth marketing agency for scaling brands addresses the whole ecosystem, not just single channels. Here's why INARI is built to do that.