uplift in activation and conversion rates, driven by incrementality
SHAipe: the LTPlabs framework
Set the Decision
Define the activation objective
up-sell, cross-sell, custom offer
Clarify the decision level
customer, segment, journey step
Set the activation moment
real-time, daily, campaign-based
Highlight what matters
Align on strategic metrics
incremental revenue, gross margin, CLV impact
Design the activation operation
contact scripts, message variants, channels, cadence, and ownership
Define business and operational constraints
contact pressure, channel capacity, regulatory rules, brand guardrails
Augment with AI
Combine customer data to estimate impact of activation
- DataCustomer behaviorProduct/service usageTransactional dataContextual dataAI ModelResultsPropensity to activateOffer relevanceExpected upliftExplainability
Prescribe, for each customer what is the offer that leads to most incremental value considering operational constraints and costs
Prototype your solution
Deliver an activation engine decides which action to take for each customer
Run a practical pilot to evaluate the solution in real-life business setting
Expand to scale
Integrate the solution with marketing and sales channels
Train commercial teams to maximize the solution adoption
Establish the governance and update processes to continuously improve the decision-making methodology
What this means for your business
More relevant customer interactions, with controlled contact pressure
Clear prioritization of activation spend toward high-value customers
Activation decisions that scale consistently across channels and teams





