Case Study on Saleshandy.
Case Study on Saleshandy.
How can Saleshandy improve its most important metric — User Engagement
How can Saleshandy improve its most important metric — User Engagement
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Introduction
Introduction
Before starting the case study, I would like to give a small introduction about Saleshandy.
Saleshandy is an email automation and tracking platform that helps users send cold emails, create personalized sequences, and analyze performance through detailed analytics. It is mainly used by sales teams, marketers, and professionals who rely on cold outreach to generate leads and close deals.
The platform focuses on improving productivity by automating repetitive email tasks and giving insights into user engagement through open rates, click tracking, and follow-ups.
Feature 1: Dark Theme Integration
Feature 1: Dark Theme Integration
Observation:
During my study on the Saleshandy website interface, I spent time finding the dark theme toggle button but found none.
As most users spend ample time creating sequences and tracking analytics, it is important that they integrate a dark theme in their UI.
If they already have this feature, it should be placed in an easily accessible location like on the Dashboard or under the Account Details tab.
Competitors like Mailshake and HubSpot Sales already offer adaptive themes, giving them a UX advantage.
Performance Metrics:
Feature Adoption Rate: % of users who switch between themes within 1 week of rollout.
User Satisfaction (CSAT): Feedback via in-app surveys on interface comfort.
Average Session Duration: Track avg. time users spend per session.
Next feature is more product increment-focused.
Feature 2: Smart Recommendation System
Feature 2: Smart Recommendation System
Overview:
The second feature I would like to recommend is an Smart recommendation system or a basic customer tracking system.
Maybe it seems like an out-of-the-box idea, but that’s what we humans do making the most impossible idea come true.
It may happen that a particular time zone affects a person’s behavior.
For example, I have a specific time for checking my emails, and I tend to open the most recent ones first.
For mass user behavior — what if the emails users send arrive at the right time?
Cold emailing is not just about sending emails to customers it’s about hitting the hammer at the right time.
Many agencies already do this, but if Saleshandy adds it directly to their interface, it could become the ultimate tool, handling everything from cold emailing to cracking deals.
Problems Identified
Users often struggle with timing and targeting when and whom to email for higher response rates.
Manual follow-ups lead to inefficiencies and missed opportunities.
Current automation in Saleshandy focuses on sequences, not intelligent suggestions.
Proposed Solution
The solution is to create an Smart recommendation sequence system with optimized timing to increase open and response rates.
It can be implemented by learning from past data, such as email opens, reply rates, and click data.
To make it more efficient, a feedback mechanism can be added so the model can learn whether the suggested sequence is working or not.
This feature will not affect the current performance of the cold mailing system, as it will have both options: manual-based and recommendation-based.
Expected Improvements
Increase in email replies and reverts
Reduced manual efforts (like creating sequences manually)
A strong competitive advantage
Performance Metrics
Time spent in the “Smart Send” feature
Clicks on Smart Send
Email Open Rate
Increased User Trust
Continuous Improvement Loop
Collect Feedback — From in-app prompts (“Was this timing useful?”).
Retrain the Model — Feed new engagement data monthly to improve prediction accuracy.
Monitor Drift — Check if the AI’s performance decreases over time due to seasonal or behavioral changes.
Refine UX — If users often ignore AI suggestions, analyze why (e.g., lack of clarity, trust, or timing mismatch).
Disclaimer
Disclaimer
This case study has been created solely for learning and educational purposes.
It is not affiliated with or endorsed by Saleshandy in any manner.
All ideas, designs, and recommendations are part of a conceptual study aimed at understanding product improvement and user engagement strategies.
click on the logo to visit saleshandy.
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