Training Company - Case Study

Case Study: How proposal signals translate into better meetings and a higher “yes” rate

Context

The client provides comprehensive training support: they conduct in-person workshops and online training and develop a modern e-learning platform with experienced trainers. Programs are flexible and tailored to the recipient's specifics.

Proposals are extensive (pricing, trainers, program, references), and Sellizer shows who, when, and what is actually being read - so meeting preparation is based on data.

Challenge

The team wanted to be certain that the proposal actually reaches the recipient, know when it was opened, and how large the decision-making committee is on the other side.

It was also important to catch returns to the document - even after a long break, e.g., at the start of a new training season - because this is a clear signal of buying intent.

Understanding which sections (program, trainers, budget, references) engage the most proved key, so the team could enter the meeting prepared for the client's specific interests.

Solution

Proposals are sent through Sellizer, which records opens, returns, and document forwarding. Based on this, the team acts faster and more precisely:

• Reaction at the moment of interest: when extended reading of a specific section is visible, the team immediately reaches out and clarifies the scope and materials - even before the main meeting.
• Data-driven meetings: the conversation starts from the topics the client actually read (e.g., program vs. budget).
• Proposal iterations: reordering sections, refining headings and descriptions to drive faster decisions.

“When we see an open or a return to the proposal, we react immediately. Thanks to this, we enter the meeting with ready answers, and decisions are made faster.”

- Client's team (training company)

Results

• Shorter path from proposal to meeting - contact at the moment of interest accelerates next steps.
• Higher rate of substantive conversations - starting from sections actually read by the client.
• “Renewal radar” and warm leads - returns to proposals from the previous season indicate accounts ready for reactivation; the team comes back with the right topic and records higher close rates on renewals.
• Better proposal effectiveness - based on reading data, the team changed section order and refined headings and program descriptions, so recipients find key information faster and move to a decision more easily.
  
  

Who is this solution for

Sellizer in this scenario works best for organizations that:

• sell training or consulting services in a B2B model,
• send extensive PDF proposals (program, trainers, agenda, budget, references),
• work with decision-making committees on the client side and need to know who is genuinely engaging with the proposal,
• want to plan meetings and follow-ups based on data, not intuition,
• want to use returns to proposals as a clear signal of interest, e.g., for renewals or a new training season.

 

Want to see how other B2B companies use PDF proposal signals in sales? See more Sellizer case studies