DATA HARVEST
Proven method for tracking and predicting client relationships
LIFT’s methodology is designed to provide a holistic, contextualized, and actionable understanding of client relationships. By combining client and team feedback, non-anonymized insights, and structured survey methods, LIFT helps MarCom companies track, predict, and improve relationship health with precision.
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See the whole picture: Feedback from both clients and teams
A client relationship isn’t one-sided—so why only listen to one side? That’s why LIFT collects feedback from both clients and internal teams. What if your client is dissatisfied, but the team thinks everything is fine? Or vice versa? Those disconnects are where risks—and opportunities—hide. By bringing both perspectives together, LIFT gives you the holistic view on your client relationships. No more blind spots, no more surprises—just clear, actionable insights.
Get the full story: Non-anonymized feedback for real action
Ever received anonymous feedback and found it hard to act on?
Without context, feedback is just noise and impossible to act on. That’s why LIFT’s methodology is built on non-anonymized feedback—because real improvements require real clarity. Both scores and comments are tied to individuals and specific client relationships, so you always know who, where, and what needs attention. No more guessing. No more trying to solve invisible problems.
Email-Based surveys for high engagement and consistency
LIFT uses email-based surveys to seamlessly collect feedback from clients and teams. Email ensures high response rates, easy accessibility, and minimal disruption to daily workflows. This structured approach keeps feedback collection consistent.
Scores from 1-10
Comments
Survey setup: Use proven drivers or customize your own
A strong survey isn’t just about asking questions—it’s about asking the right questions. LIFT’s surveys are built on selected relationship drivers that have been proven to diagnose and predict client relationships. Choose from LIFT’s validated drivers or create your own, tailoring surveys to your needs.
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Frequently asked
questions
Yes, you can absolutely use LIFT to gather valuable feedback from just your clients. However, we strongly recommend capturing feedback from both clients and internal teams. Our methodology is built on the belief that every relationship has two sides—and the richest insights come from understanding both perspectives. Collecting both gives you a more complete picture of the relationship dynamics and helps uncover misalignments, risks, and opportunities you might otherwise miss.
You can also easily start with collecting client feedback and add team feedback later.
More than half of LIFT customers enjoy a client response rate above 50% and a team response rate of 70%
Yes, LIFT offers robust permission settings, allowing you to control data visibility internally and manage access based on roles and responsibilities.
Yes. While LIFT comes with 11 proven relationship signals (six for clients and five for teams) backed by a decade of industry data, you can fully customize your survey. Add your own drivers and include specific questions that align with your agency’s structure, services, or client setup. Whether you stick with the tested signals or create your own, LIFT gives you the flexibility to gather the insights that matter most to your business.
No—the cost is not affected by survey frequency. LIFT uses a seat-based pricing model, meaning you pay based on the number of users (seats) who need access to the platform. Whether you survey twice a year or quarterly, the price stays the same. That way, you have full flexibility to set the cadence that works best for your agency—without worrying about hidden costs.
Of course! LIFT fully supports multilingual participation. Each client or team member can select their preferred language the first time they respond to a survey, and the platform will remember their choice for all future participation. This ensures a smooth, accessible experience for every respondent, no matter where they’re based.
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