Total words: 2664 | 2-word phrases: 713 | 3-word phrases: 769 | 4-word phrases: 785
PAGE INFO
| Title | Try to keep the title under 60 characters (63 characters)
Customer Journey & Product Analytics Software Tool | Woopra |
| Description | Try to keep the meta description between 50 - 160 characters (0 characters)
|
| Keywords | Meta keywords are not recommended anymore (0 characters)
|
| H1 | H1 tag on the page (36 characters)
End-to-endCustomer Journey Analytics |
ONE WORD PHRASES 397 Words
| # |
Keyword |
H1 |
Title |
Des |
Volume |
Position |
Suggest |
Frequency |
Density |
| 1 | and | | | | | | | 45 | 11.34% |
| 2 | to | | | | | | | 36 | 9.07% |
| 3 | the | | | | | | | 33 | 8.31% |
| 4 | we | | | | | | | 23 | 5.79% |
| 5 | woopra | | | | | | | 23 | 5.79% |
| 6 | our | | | | | | | 19 | 4.79% |
| 7 | of | | | | | | | 18 | 4.53% |
| 8 | analytics | | | | | | | 18 | 4.53% |
| 9 | a | | | | | | | 16 | 4.03% |
| 10 | customer | | | | | | | 15 | 3.78% |
TWO WORD PHRASES 713 Words
| # |
Keyword |
H1 |
Title |
Des |
Volume |
Position |
Suggest |
Frequency |
Density |
| 1 | we were | | | | | | | 9 | 1.26% |
| 2 | learn more | | | | | | | 7 | 0.98% |
| 3 | on a | | | | | | | 7 | 0.98% |
| 4 | our user | | | | | | | 6 | 0.84% |
| 5 | customer journey | | | | | | | 6 | 0.84% |
| 6 | the sales | | | | | | | 6 | 0.84% |
| 7 | into the | | | | | | | 6 | 0.84% |
| 8 | customer analytics | | | | | | | 5 | 0.70% |
| 9 | on the | | | | | | | 5 | 0.70% |
| 10 | team to | | | | | | | 5 | 0.70% |
| 11 | able to | | | | | | | 5 | 0.70% |
| 12 | with a | | | | | | | 5 | 0.70% |
| 13 | is a | | | | | | | 5 | 0.70% |
| 14 | were able | | | | | | | 5 | 0.70% |
| 15 | into a | | | | | | | 4 | 0.56% |
| 16 | woopra for | | | | | | | 4 | 0.56% |
| 17 | more about | | | | | | | 4 | 0.56% |
| 18 | about our | | | | | | | 4 | 0.56% |
| 19 | our customers | | | | | | | 4 | 0.56% |
| 20 | feature usage | | | | | | | 4 | 0.56% |
THREE WORD PHRASES 769 Words
| # |
Keyword |
H1 |
Title |
Des |
Volume |
Position |
Suggest |
Frequency |
Density |
| 1 | more about our | | | | | | | 4 | 0.52% |
| 2 | were able to | | | | | | | 4 | 0.52% |
| 3 | insights into the | | | | | | | 4 | 0.52% |
| 4 | conversions on the | | | | | | | 3 | 0.39% |
| 5 | the whole cave | | | | | | | 3 | 0.39% |
| 6 | sales team to | | | | | | | 3 | 0.39% |
| 7 | our sales team | | | | | | | 3 | 0.39% |
| 8 | of customer analytics | | | | | | | 3 | 0.39% |
| 9 | future of customer | | | | | | | 3 | 0.39% |
| 10 | the future of | | | | | | | 3 | 0.39% |
| 11 | is the future | | | | | | | 3 | 0.39% |
| 12 | ceo rentler woopra | | | | | | | 3 | 0.39% |
| 13 | and see the | | | | | | | 3 | 0.39% |
| 14 | see the whole | | | | | | | 3 | 0.39% |
| 15 | to leverage product | | | | | | | 3 | 0.39% |
| 16 | enlighten and see | | | | | | | 3 | 0.39% |
| 17 | to enlighten and | | | | | | | 3 | 0.39% |
| 18 | we were able | | | | | | | 3 | 0.39% |
| 19 | learn more about | | | | | | | 3 | 0.39% |
| 20 | us we were | | | | | | | 3 | 0.39% |
| 21 | was woopra for | | | | | | | 3 | 0.39% |
| 22 | team to leverage | | | | | | | 3 | 0.39% |
| 23 | within salesforce to | | | | | | | 3 | 0.39% |
| 24 | on our flashlight | | | | | | | 3 | 0.39% |
| 25 | of user churn | | | | | | | 3 | 0.39% |
| 26 | product management ispottv | | | | | | | 3 | 0.39% |
| 27 | aggregate level vinny | | | | | | | 3 | 0.39% |
| 28 | an individual and | | | | | | | 3 | 0.39% |
| 29 | at an individual | | | | | | | 3 | 0.39% |
| 30 | base at an | | | | | | | 3 | 0.39% |
FOUR WORD PHRASES 785 Words
| # |
Keyword |
H1 |
Title |
Des |
Volume |
Position |
Suggest |
Frequency |
Density |
| 1 | salesforce to optimize the | | | | | | | 3 | 0.38% |
| 2 | we turned on our | | | | | | | 3 | 0.38% |
| 3 | enlighten and see the | | | | | | | 3 | 0.38% |
| 4 | of product management ispottv | | | | | | | 3 | 0.38% |
| 5 | to enlighten and see | | | | | | | 3 | 0.38% |
| 6 | us we were able | | | | | | | 3 | 0.38% |
| 7 | on our flashlight which | | | | | | | 3 | 0.38% |
| 8 | turned on our flashlight | | | | | | | 3 | 0.38% |
| 9 | once we turned on | | | | | | | 3 | 0.38% |
| 10 | see the whole cave | | | | | | | 3 | 0.38% |
| 11 | to optimize the sales | | | | | | | 3 | 0.38% |
| 12 | learn more about our | | | | | | | 3 | 0.38% |
| 13 | we were going into | | | | | | | 3 | 0.38% |
| 14 | services we were going | | | | | | | 3 | 0.38% |
| 15 | effective services we were | | | | | | | 3 | 0.38% |
| 16 | working with another provider | | | | | | | 3 | 0.38% |
| 17 | and see the whole | | | | | | | 3 | 0.38% |
| 18 | at an individual and | | | | | | | 3 | 0.38% |
| 19 | into play we had | | | | | | | 3 | 0.38% |
| 20 | sales team to leverage | | | | | | | 3 | 0.38% |
| 21 | within salesforce to optimize | | | | | | | 3 | 0.38% |
| 22 | product side we can | | | | | | | 3 | 0.38% |
| 23 | side we can measure | | | | | | | 3 | 0.38% |
| 24 | we can measure feature | | | | | | | 3 | 0.38% |
| 25 | can measure feature usage | | | | | | | 3 | 0.38% |
| 26 | team to leverage product | | | | | | | 3 | 0.38% |
| 27 | our sales team to | | | | | | | 3 | 0.38% |
| 28 | base at an individual | | | | | | | 3 | 0.38% |
| 29 | ahead of user churn | | | | | | | 3 | 0.38% |
| 30 | of user churn by | | | | | | | 3 | 0.38% |
| 31 | user churn by proactively | | | | | | | 3 | 0.38% |
| 32 | future of customer analytics | | | | | | | 3 | 0.38% |
| 33 | the future of customer | | | | | | | 3 | 0.38% |
| 34 | is the future of | | | | | | | 3 | 0.38% |
| 35 | user base at an | | | | | | | 3 | 0.38% |
| 36 | play we had been | | | | | | | 3 | 0.38% |
| 37 | a cave without a | | | | | | | 3 | 0.38% |
| 38 | more about our users | | | | | | | 3 | 0.38% |
| 39 | woopra came into play | | | | | | | 2 | 0.25% |
| 40 | ceo rentler woopra is | | | | | | | 2 | 0.25% |
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