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Revenue Content ROI

See your pipeline and revenue growth, influenced by Turtl.

Influenced Revenue

$6.2M

of $10.5M

Influenced Pipeline Opportunities

$13.5M

of $20.3M

Number of Deals Influenced

1724

of 2724

Influenced Deals

Deal Win Rate

90.2%

+11.7%

Avg Selling Price

$7.12k

+$0.54k

Avg Time to Close

29 days

-13 days

Other Deals

Win Rate

78.5%

Avg Selling Price

$6.58k

Avg Time to Close

42 days

Hidden opportunities to close more pipeline right now

Explore companies that have recently engaged with your content and their specific interests. Don't let those deals slip away!

Deal name
(6)
Company
Engagement score
Last engaged
Potential deal value
Contacts
Interested in
Apple - Marketing US
Apple
92
1 day ago
$5,000
John Doe
+1
ABM
+1
Google - Tech Solutions
Google
67
7 days ago
$4,500
Jane Smith
ABM
Microsoft - Financial Services
Microsoft
54
7 days ago
$2,500
Mark Harrison
Demand gen
Verizon - Marketing US
Verizon
42
11 days ago
$7,000
Charles Ellis
ABM
Tesla - Tech Solutions
Tesla
31
22 days ago
$9,000
Emma Martin
Personalization
Spotify - Financial Services
Spotify
15
29 days ago
$9,500
Thomas Brown
ABM
Sync Audience Intent data with your CRM
Track Audience Intent, prioritize Leads, and give sales the insights they need to close deals faster.

Revenue Drivers

See how individual Docs, topics, channels and more have contributed to your pipeline and revenue.

ViewingTopics
Topics
(6)
Revenue
Closed Won Deals
Pipeline
Pipeline Deals
Win Rate
Content Production
$1,234,717
72
$468,000
24
74%
AI
$1,147,855
96
$39,000
2
98%
Lead Generation
$591,403
40
$245,036
22
92%
Expert Services
$310,414
20
$655,740
36
65%
Content Marketing
$249,997
17
$25,000
2
72%
Content Analytics
$248,331
16
$40,200
3
74%
Show influenced deals breakdown
Created with Sketch.

Ask Hatch

Who are my most engaged readers?

Most Engaged Readers Report

Top 10 Most Engaged Readers

Name Email Engagement Score Docs Read Avg Read Rate Topics of Interest ICP Score
Jewell Anderson jewell.anderson@yahoo.com 1,412 (High) 2 39% Turtl Platform, Content Production, Revenue Content Low
Emma Waters emma.waters@samsung.com 1,233 (High) 5 34% Content Marketing, Content Performance, Turtl Platform High
Keara Corkery keara.corkery@svb.com 1,219 (High) 8 51% Turtl Legals, Turtl Platform, Content Creation Medium
Millie Farrell millie.farrell@apple.com 1,145 (High) 0 0% Revenue Content, Turtl Platform High
Valerie Adams valerie.adams@sony.com 1,142 (High) 1 95% Unknown topics High
Conor Houston conor.houston@tesla.com 1,103 (High) 2 34% Turtl Platform, Content Production High
Mario Cooper mario.cooper@microsoft.com 1,033 (High) 4 64% Turtl Platform, Content Production, Content Marketing High
Travis Patel travis.patel@hp.com 984 (Medium) 2 57% Turtl Platform, Content Production, Content Performance High
Chris Wood chris.wood@salesforce.com 964 (Medium) 5 70% Content Creation, Content Performance, Research High
Titus Parker titus.parker@google.com 932 (Medium) 1 56% Turtl Platform High

ICP Analysis

Your Ideal Customer Profile (ICP) is "Enterprise businesses, ideally in the IT sector, over 60m ARR". Based on the domains of your most engaged readers:

  • High ICP Match (80%): 8 out of 10 top readers are from enterprise tech companies (Samsung, Apple, Sony, Tesla, Microsoft, HP, Salesforce, Google)
  • Medium ICP Match (10%): 1 reader from financial services (SVB)
  • Low ICP Match (10%): 1 reader from a non-enterprise domain (yahoo.com)

Key Insights

  1. Strong ICP Targeting: You're successfully engaging your target audience with 80% of top readers coming from enterprise tech companies.

  2. Content Interest Patterns: "Turtl Platform" appears as a top interest for 9 out of 10 readers, indicating strong product interest.

  3. Engagement Depth: Your top readers show high engagement scores (1,000+) despite varying read rates (34-95%), suggesting quality over quantity in their interactions.

  4. Multi-Document Engagement: 6 out of 10 top readers have engaged with multiple documents (2+ docs), showing sustained interest.

  5. Topic Diversity: Readers show interest across various topics including product information, content production, and revenue content.

Recommendations

  1. Personalize Follow-ups: Create personalized outreach for high-engagement readers from top ICP companies (Emma Waters, Millie Farrell, Valerie Adams) based on their specific topics of interest.

    Learn about personalization for higher engagement →

  2. Nurture Multi-Document Readers: Develop a specialized nurture track for readers like Keara Corkery and Chris Wood who have engaged with 5+ documents, as they show sustained interest.

  3. Sync Intent Data with CRM: Leverage these engagement scores and topic interests in your CRM to prioritize sales outreach to high-value prospects.

    Sync Turtl intent data with your CRM →

  4. Content Strategy Alignment: Create more content around "Turtl Platform" and "Content Production" as these appear frequently in your top readers' interests.

  5. Re-engage Zero-Read Prospects: Develop a specific strategy for prospects like Millie Farrell who have high engagement scores but haven't read documents yet.

Suggestions

Hide
Give me a general report of document engagement and influenced revenue.
How do I improve my document performance and generate more revenue?
Which documents, content types, topics and channels drive the most pipeline?
Who are my most engaged leads? Are they my ICP?
What is our overall bounce rate and how do we improve?
What kind of Docs should we work on next?
Give me a general personalization performance report.
All of the information presented is based on current filters in the dashboard. Outputs are generated using AI.