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January 28, 2026

Acquisition targeting: turn clicks into customers that matter

Prioritize customers who last: data-first targeting, predictive LTV, causal proof.

At a glance

Challenge

Solution

Results

Our
AI-generated
summary

Our AI-generated summary

Our AI-generated summary

Many organizations treat new customers as a single pool. That wastes budget on low-value users, leaves high-value prospects under-engaged and makes it hard to prove what really drives revenue. Fragmented data and weak alignment between marketing and sales are common blockers: without connected CRM and campaign data, teams struggle to prioritize the right prospects and defend marketing spend.

Acquisition targeting means finding customers who will deliver durable value and reaching them with the right message, channel and offer. At LTPlabs we build this capability at the intersection of Marketing, Sales and Data & AI, focusing on practical, measurable changes that improve pipeline quality and long-term ROI.

We split acquisition targeting into four complementary pillars that turn data into action:

  • Centralized customer signals and CRM activation - Collecting digital, behavioral and transactional signals in one place and activating them through the CRM. This lets you spot likely buyers earlier and route them into the right treatment. An omnichannel, CRM-connected setup is the foundation for consistent audience definition and downstream automation.
  • Predictive lifetime value (pLTV) - Predictive LTV models help you prioritize prospects by future value, not just first conversion. Feeding pLTV into bidding, segmentation and sales workflows shifts optimization from short-term CPA to customer economics, improving acquisition efficiency and downstream revenue.
  • Smarter media and causal measurement - Scale still comes from paid channels, but only when budget and bidding align with business outcomes. We combine media-mix and bid optimization (tCPA / tROAS or CPC constraints) with rigorous incrementality testing and multi-touch attribution so budget moves are backed by causal evidence. This improves upon what is readily available on Google or Meta Ads and brings your data to the center of the intelligence.
  • Personalization and next-best actions - Once high-potential prospects are identified, personalize creative, offers and channel sequencing. Recommendation engines and next-best-offer systems increase conversion and lifetime value by tailoring outreach to individual signals, improving acceptance rates and reducing churn.

LTPlabs’ approach

At LTPlabs we start with the decision you need to improve, not with technology for technology’s sake. Our hybrid profile pairs advanced analytics and AI with deep business experience so solutions are practical, measurable and directly tied to commercial outcomes. We call this “pull AI”: design the problem, ensure the right data and models answer it, then operationalize the output into CRM and media platforms.

Typical deliverables include a predictive LTV engine, CRM activation pipelines, media-mix and bidding optimization, attribution &incrementality frameworks, and an operational dashboard that both Marketing and Sales can act from. These components drive measurable results: lower wasted spend, higher ROI and better-qualified leads for Sales.

Our AI-generated summary

Our AI-generated summary

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