SOLUTION/Find the ARPU your team has not defined yet
Revenue opportunity discovery, running 24/7 on your entire customer base.
Markin investigates every customer, transaction and product event for anomalies and unexplained behaviour, generates and sizes hypotheses with uplift modeling, and proves them with causal experimentation. The work of a growth data science team, always on, surfacing ARPU no dashboard has queried.
Churn risk · 30d
0.80
Anomaly to hypothesis
Live · 1/4What revenue discovery looks like with Markin.
Search the whole base
Agents scan every customer, transaction and product event for anomalies and unexplained behaviour, not only cohorts an analyst has already defined.
Hypotheses, not dashboards
For every signal, agents generate multiple explanations, investigate them with internal data and external context, and rank them by expected ARPU.
Prove it against control
Candidate interventions are sized on margin, tested against control groups, and only scaled once the causal effect is confirmed.
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.
eSIM buyers with mismatched trip length
Cluster buying 7-day plans while booking flights >14 days out. Hypothesis: unaware of long-stay plan or competitor benchmark. Uplift on tailored counteroffer: +€1.9M ARR.
Reach
12.3K users
At stake
€1.9M ARR
Micro-cohort of premium annuals silent 21d
No lifecycle stage flagged them. Investigation points to a specific device × content combination underperforming.
Reach
6.4K users
At stake
€820K ARR
Family accounts on solo plans
Usage pattern matches multi-line household. External benchmark: competitor offering family bundle at parity price.
Reach
9.1K users
At stake
€1.1M ARR
High-LTV shoppers browsing competitor-heavy categories
External signal + on-site behaviour: probable switch in the next 30 days if unaddressed.
Reach
4.8K users
At stake
€540K ARR
How it works
Data. Intelligence. Action.
The same three-layer loop that powers every Markin motion, tuned for revenue discovery.
01
Detect the signal
Agents surface anomalies and unexplained behaviour across the base: a duration that doesn't fit the customer, a drop in a specific micro-cohort, a pattern no journey covers.
02
Generate and investigate hypotheses
Multiple explanations are proposed and tested against transactional, behavioural, support and operational data. Agents can pull external context: competitor offers, local pricing, market conditions, product alternatives.
03
Size, act, learn
Each opportunity is sized on incremental margin. Candidate interventions (some outside the current CRM) are tested against control. Validated discoveries become reusable growth motions.
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.
Cluster · eSIM long-stay
12.3K users · +€1.9M ARR
“Extend to 30 days for €4 more, matched to your trip”
In-app + Email
T+1 after 7d activation
Trip-matched plan
Cohort · Silent premium
6.4K users · +€820K ARR
“New releases picked for your device, first episode unlocked”
Push
Prime-time
Content unlock
Segment · Family fit
9.1K users · +€1.1M ARR
“Add a line for €5, keep your data pooled”
SMS
Weekend
Family bundle
Cohort · Substitution risk
4.8K users · +€540K ARR
“Reserved for you, price-matched for 72h”
Now
Price match
Measured impact
The numbers revenue discovery teams see with Markin.
€8.4M
ARR opportunities surfaced / quarter
60%+
outside existing campaigns
24/7
investigation loop
Markin found revenue we didn't know we had, patterns no analyst had queried, sized in ARR, tested against control. That is the part we couldn't build ourselves.
Chief Growth Officer
Global consumer subscription business
Inside the product
Revenue Discovery, running 1:1.
Three concrete decisions Markin ships for revenue discovery, on the surfaces you already run.
Churn risk · 30d
0.80
Discovery
Anomaly to hypothesis
Every unexplained pattern becomes a set of ranked, sized hypotheses agents can test.
Match ranking · per user
External context
Read the market
Agents pull competitor offers, local pricing and product alternatives to explain what internal data alone cannot.
Next best offer · scored per user
Unit economics
Size before you act
Every candidate intervention priced against margin and incentive cost before any customer sees it.
FAQ
How is revenue discovery 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 revenue discovery run on your data.
A 30-minute demo, the same agents, the same decisions, the same 1:1 execution.