The Markin ARPU report for B2C enterprisesRead now
MARKIN

SOLUTION/Not every revenue problem is a marketing problem

Churn prevention starts with diagnosing what's actually breaking ARPU.

Not every retention problem is a marketing problem. Markin correlates behavioural shifts with product usage, payments, support and operations to find the friction, technical errors and service issues quietly driving churn, then routes each finding to the owning team, sized in ARPU at stake.

Agent · Payments

Churn risk · 30d

0.80

Save play ready
Product & Customer Diagnosis

Silent revenue leaks

Live · 1/4

What product & customer diagnosis looks like with Markin.

Behaviour to root cause

When a cohort's behaviour shifts, agents investigate the product, technical, payment and support systems behind it, not only the campaign that touched them.

Marketing vs product vs ops

Markin distinguishes when the correct answer is a message, a human callback, a product change, a technical fix, an operational change or no action at all.

Sized in revenue at stake

Every diagnosed issue is quantified in ARPU and margin impact, then routed to the owning team with the evidence needed to act.

Opportunity intelligence

The segments your team should be acting on today.

Markin surfaces live opportunities, scored, sized and priced in ARR, so growth work starts on the accounts that actually move the number.

Failed payments
96score

Card declines on renewal, specific BIN range

3.1% of premium renewals silently failing on one issuer. No support ticket generated.

Reach

7.4K users

At stake

€1.4M ARR

Broken onboarding
91score

New users stuck on step 4, Android 14

Drop-off spike on a specific device × OS combination. Never surfaced in generic funnel view.

Reach

11.9K users

At stake

€680K ARR

Service issue
93score

Unresolved complaints, high-ARPU cohort

Open tickets >7 days on top-decile customers, currently receiving upsell campaigns.

Reach

3.2K users

At stake

€910K ARR

Product friction
89score

Feature confusion after redesign

Usage of the primary flow down 22% post-release for one segment. Not a marketing problem.

Reach

18.6K users

At stake

€1.2M ARR

How it works

Data. Intelligence. Action.

The same three-layer loop that powers every Markin motion, tuned for product & customer diagnosis.

01

Correlate behaviour with systems

Agents unify product events, payment attempts, support tickets, operational logs and customer behaviour to spot where value delivery breaks down.

02

Diagnose and classify

Each finding is classified: product friction, technical error, service issue, operational bottleneck, or a genuine growth opportunity. Promotional actions are suppressed on customers with unresolved issues.

03

Route to the right owner

Findings ship to product, engineering, support, operations or commercial with sized impact and evidence. Post-fix impact is measured against baseline.

1:1 execution

One decision per customer. One message. One moment.

Every row is a live decision Markin ships into your CRM, app or contact center, no segment builders, no rule trees.

Finding · Card decline BIN

7.4K users · +€1.4M ARR

Route to Payments team + retry logic proposal

Product / Engineering

Now

No customer touch

Finding · Onboarding step 4

11.9K users · +€680K ARR

Ship to Product with device × OS evidence

Product

This sprint

Suppress promo

Cohort · Open tickets

3.2K users · +€910K ARR

Hold all promotional actions, route to Care

Support

Now

Human callback

Segment · Redesign confusion

18.6K users · +€1.2M ARR

In-product guide + Product review

Product + In-app

This week

In-context help

Measured impact

The numbers product & customer diagnosis teams see with Markin.

Read a customer case

€6.1M

ARR unlocked by non-marketing fixes / yr

3.8x

faster detection vs. monitoring

100%

findings routed with owner + evidence

Half of what limited our ARPU was never a marketing problem. Markin surfaced it, sized it, and sent it to the right team with the evidence to act.

Chief Product Officer

European incumbent telco

Inside the product

Product & Customer Diagnosis, running 1:1.

Three concrete decisions Markin ships for product & customer diagnosis, on the surfaces you already run.

Agent · Payments

Churn risk · 30d

0.80

Save play ready

Payments

Silent revenue leaks

Detect declines, retry failures and dunning gaps invisible in the standard funnel.

Agent · Product

User journey · scored live

·Signup
Next best step
·First value
·Habit day-7
·First purchase
·Repeat

Product

Where users stop reaching value

Identify the exact step, device and cohort where activation breaks.

Agent · Orchestration

Match ranking · per user

#196
#289
#382
#475
#568
#661
#794
#887
#980

Support

Suppress promos on open tickets

Never upsell a customer with an unresolved complaint. Route to Care instead.

FAQ

How is product & customer diagnosis different from a campaign tool or CRM?

Markin is not a channel or a rule engine. It performs the analytical and experimentation work of a growth data science team: generating hypotheses, sizing them, running controlled experiments and learning what actually moves ARPU. Execution can land in your existing CRM, product or contact center.

What models are behind Markin?

A stack of proprietary deep-learning and causal models (propensity, uplift, survival, sequence, embeddings) orchestrated by reasoning agents. The right method is picked per decision, retrained continuously on your data.

Do we need to move our data?

No. Markin reads from your warehouse, product events, CRM and operational systems in place. Nothing is copied, nothing gets locked in.

How is impact measured?

Every decision runs against a control group. Impact is reported as incremental ARPU, revenue and margin, not opens, clicks or engagement proxies.

Can Markin decide to do nothing?

Yes. When no intervention has positive expected value, Markin holds. Silence is a valid, auditable decision.

What about data security and compliance?

SOC 2, ISO 27001, ISO 42001 and GDPR ready. Least-privilege access, per-tenant encryption, audit logs on every decision and finding.

See product & customer diagnosis run on your data.

A 30-minute demo, the same agents, the same decisions, the same 1:1 execution.