SOLUTION/Make every growth motion you already run perform better
The next best action engine for every customer, every moment.
Markin runs continuous next best action decisioning across your live campaigns, journeys and product surfaces, picking eligibility, timing, channel, offer and message per person, and coordinating contact pressure across programs. Every decision measured against control, reported as incremental ARPU.
User journey · scored live
Move new users to first value
Live · 1/4What growth optimization looks like with Markin.
Eligibility, not segments
Models score every customer for every candidate action in real time, replacing fixed segments and rule trees with live 1:1 eligibility.
Timing, channel, offer, pressure
Every lever tuned per person: the moment, the surface, the incentive depth and the total contact pressure across all campaigns.
Coordinated across campaigns
One decision layer arbitrates all active journeys, so no customer is hit by conflicting or duplicated actions.
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.
Users receiving offers they'd take anyway
Uplift model shows zero incremental impact from current cross-sell push, spending margin on natural buyers.
Reach
34.7K users
At stake
€1.2M ARR
Fatigued high-LTV base
Cohort touched by 4+ campaigns per week, next-touch has negative expected ARPU.
Reach
22.1K users
At stake
€780K ARR
Push-first users on email calendar
4x higher response in push, currently on weekly email drip.
Reach
18.4K users
At stake
€520K ARR
Over-discounted winback cohort
Save rate identical at 10% vs 20% off, current program defaults to 20%.
Reach
9.6K users
At stake
€340K ARR
How it works
Data. Intelligence. Action.
The same three-layer loop that powers every Markin motion, tuned for growth optimization.
01
Read the programs you already run
Markin ingests active campaigns, journeys and treatments, then measures who actually responded, who was going to convert anyway and who was over-contacted.
02
Decide per person, per moment
For each customer, agents pick the eligible action with the highest expected incremental ARPU (or decide to hold), using propensity, uplift, survival or sequence models depending on the decision.
03
Experiment, scale, retire
Every decision runs against control. Wins are scaled, losses are stopped, learnings from one motion feed the next.
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.
Ana G.
Retail · Loyalty Gold
“The pieces you saved just came back in your size”
Push
Sat 10:14 local
Held 48h
Tom R.
Fintech · Payroll active
“Your surplus could earn 3.8% in Savings”
In-app
Payday +2
3.8% APY
Marc P.
Telco · Contract T-18d
“Keep your number, lock a better plan for 12 months”
Call
Weekday 6pm
Loyalty plan -10%
Priya S.
Travel · MAD→LHR
“Pick your seat, upgrade to Comfort for €12”
T-72h
Comfort seat
Measured impact
The numbers growth optimization teams see with Markin.
+18%
incremental ARPU on optimized motions
-32%
contact pressure at higher revenue
100%
of decisions run against control
Every campaign we already run is now measured, optimised and coordinated by Markin. Same channels, same team, materially higher ARPU.
VP CRM
Top-5 European retailer
Inside the product
Growth Optimization, running 1:1.
Three concrete decisions Markin ships for growth optimization, on the surfaces you already run.
User journey · scored live
Onboarding
Move new users to first value
Personal 7-day paths tuned per signup, replacing the static welcome drip.
Next best offer · scored per user
Cross-sell
Rank offers per account
Uplift ranks every candidate offer per person and picks the one that actually moves this customer.
Churn risk · 30d
0.80
Churn
Save only what's worth saving
Agents trigger the exact intervention (or silence) that maximises retained ARPU, not raw save rate.
FAQ
How is growth optimization 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 growth optimization run on your data.
A 30-minute demo, the same agents, the same decisions, the same 1:1 execution.