TL;DR 🏃♂️
TL;DR 🏃♂️
Designed a Data Dashboard that let prospects and sales self-serve segmented insights (industry, region, role), speeding enterprise sales cycles by 45% and lifting demo conversions by 28%.
Added above-the-fold summary metrics and Slack alerts for coverage gaps.
Designed a Data Dashboard that let prospects and sales self-serve segmented insights (industry, region, role), speeding enterprise sales cycles by 45% and lifting demo conversions by 28%.
Added above-the-fold summary metrics and Slack alerts for coverage gaps.
Overview 🔬
Overview 🔬
ContactOut is a B2B SaaS platform providing verified contact information for recruiters and enterprise sales teams. While the site advertised 1.2B+ contacts, prospective customers often asked:
“Do you have data for my target industry/region?”
“How complete is your database compared to competitors?”
Without a way to self-serve, sales relied on back-and-forth with analysts team, slowing deal velocity and increasing buyer hesitation.
Competitors like ZoomInfo already offered transparent dashboards, leaving ContactOut at a disadvantage.
Business Goals 💼
Business Goals 💼
Reduce buying friction to increase enterprise sales conversion.
Provide transparency and reduce manual data requests
Provide transparency and reduce manual data requests
Strengthen competitive differentiation against ZoomInfo & Apollo
User Goals 👩🏻💻
User Goals 👩🏻💻
Validate niche audience coverage instantly.
Reduce purchase risk with transparent data availability.
Take immediate next steps (book demo, talk to sales).
Outcomes
Outcomes
45%
45%
45%
Faster enterprise sales cycles
28%
28%
28%
Lift in site to demo conversions (first 3 months).
500
500
500
Prospects used the dashboard in launch phase
Prospects used the dashboard in launch phase
Research & Insights
Research & Insights
To validate the problem and opportunity, we ran:
Competitor benchmarking of ZoomInfo and Apollo dashboards.
10+ AE interviews on buyer objections during calls.
Analysis of sales logs: data questions appeared in ~40% of enterprise conversations.
Customer journey mapping with recruiters and sales buyers.
Insights confirmed that transparency during discovery could speed up deal velocity and act as a differentiator.
To validate the problem and opportunity, we ran:
Competitor benchmarking of ZoomInfo and Apollo dashboards.
10+ AE interviews on buyer objections during calls.
Analysis of sales logs: data questions appeared in ~40% of enterprise conversations.
Customer journey mapping with recruiters and sales buyers.
Insights confirmed that transparency during discovery could speed up deal velocity and act as a differentiator.
TL;DR 🏃♂️
Designed a Data Dashboard that let prospects and sales self-serve segmented insights (industry, region, role), speeding enterprise sales cycles by 45% and lifting demo conversions by 28%.
Added above-the-fold summary metrics and Slack alerts for coverage gaps.
Overview 🔬
ContactOut is a B2B SaaS platform providing verified contact information for recruiters and enterprise sales teams. While the site advertised 1.2B+ contacts, prospective customers often asked:
“Do you have data for my target industry/region?”
“How complete is your database compared to competitors?”
Without a way to self-serve, sales relied on back-and-forth with analysts team, slowing deal velocity and increasing buyer hesitation.
Competitors like ZoomInfo already offered transparent dashboards, leaving ContactOut at a disadvantage.
Business Goals 💼
Reduce buying friction to increase enterprise sales conversion.
Provide transparency and reduce manual data requests
Strengthen competitive differentiation against ZoomInfo & Apollo
User Goals 👩🏻💻
Validate niche audience coverage instantly.
Reduce purchase risk with transparent data availability.
Take immediate next steps (book demo, talk to sales).
Outcomes
45%
Faster enterprise sales cycles
28%
Lift in site to demo conversions (first 3 months).
500
Prospects used the dashboard in launch phase
Research & Insights
To validate the problem and opportunity, we ran:
Competitor benchmarking of ZoomInfo and Apollo dashboards.
10+ AE interviews on buyer objections during calls.
Analysis of sales logs: data questions appeared in ~40% of enterprise conversations.
Customer journey mapping with recruiters and sales buyers.
Insights confirmed that transparency during discovery could speed up deal velocity and act as a differentiator.
