Revenue Summary
Select date range
Select Time Period
** Default range is lifetime
▼
(Applicable on this page)
Total
Revenue
Recurring
609,451.9
New
394,572.16
Revenue Category
Distribution
9.7%
Recurring
12.2%
59,326.04
Contraction
Expansion
New
Winback
Expansion
74,301.27
Contraction
Churn Loss
79,377
-11,916.05
13%
Churn (has been won back)
64.7%
Churn
100K
50K
10K
5K
4.1K 4.1K 3.2K
1K-
124
172
5K
211
3.6K
275
7.4K
341
3.8K
409
6.5K
2K
447
518
3.3K
5.6K
5K
621
670
573
648
610
397
272
234
197
174
152
127
53
98
81
50
34
13
10
5
2
1
-
Jan 2020
Mar 2020
May 2020
Jul 2020
Sept 2020
Nov 2020
Jan 2021
Mar 2021
May 2021
Jul 2021
Sept 2021
Nov 2021
Jan 2022
Mar 2022
Feb 2020
Apr 2020
Jun 2020
Aug 2020
Oct 2020
Dec 2020
Feb 2021
Apr 2021
Jun 2021
Aug 2021
Oct 2021
Dec 2021
Feb 2022
Apr 2022
Current Revenue
Last Cycle Revenue
Unique Organisation Count
400
WoW/ MoM
Unique Active
Teams Counts
Unique Teams
300
(Drill Down
Enabled)
Is_Trial
false
200
true
100
31
20
0
51
43
Mar 2020
May 2020
Apr 2020
Data Studio
40
55
38
Jul 2020
Jun 2020
Google Sheets
46
43
Sept 2020
Aug 2020
Excel
32
Nov 2020
Oct 2020
BigQuery
15
11
Jan 2021
Dec 2020
Legacy
8
Mar 2021
Feb 2021
API
AWS S3
Snowflake
500
400
Active Team Count
YoY / MoM
Active Unique
Team Count Product Usage
Wise
-
300
-
100
0
1
4
1
57
34
68
94
Mar 2020
Apr 2020
136
May 2020
88
159
Jun 2020
178
Jul 2020
130
1
2
4
133
1
2
3
6
1
3
4
134
135
115
1
4
130
243
257
274
260
258
252
206
196
Aug 2020
1
4
3
104
101
72
64
1
2
1
5
Sept 2020
Oct 2020
Nov 2020
Dec 2020
Jan 2021
Feb 2021
Mar 2021
Churn
Churn (has been won back)
Contraction
Expansion
New
Recurring
Winback
60K
Month on Month
Revenue on
Different Revenue
Categories
monthly_recurring_revenue
50K
40K
30K
20K
10K
0
Jan 2020 Mar 2020 May 2020 Jul 2020 Sept 2020 Nov 2020 Jan 2021 Mar 2021 May 2021 Jul 2021 Sept 2021 Nov 2021 Jan 2022 Mar 2022
Feb 2020 Apr 2020 Jun 2020 Aug 2020 Oct 2020 Dec 2020 Feb 2021 Apr 2021 Jun 2021 Aug 2021 Oct 2021 Dec 2021 Feb 2022 Apr 2022
Year Month
40K
Only Annual
Recurring
Revenue
MoM/QoQ/YoY
Select Organisaton to
see specifics
performance
Annual Recurring Revenue
30K
20K
10K
Org Name
▼
0
Feb 2020
Apr 2020 Jun 2020 Aug 2020 Oct 2020
Dec 2020 Feb 2021
Apr 2021 Jun 2021 Aug 2021 Oct 2021
Dec 2021 Feb 2022
Apr 2022
Mar 2020 May 2020 Jul 2020 Sept 2020 Nov 2020 Jan 2021 Mar 2021 May 2021 Jul 2021 Sept 2021 Nov 2021 Jan 2022 Mar 2022
organisation_name
▼
3K
2.5K
2K
Average Query Rate
MoM and Product
Wise
1.5K
1K
500
0
Mar 2020
Apr 2020
Snowflake
Avg Query
Per Org Per
Month
18
Avg Revenue
Per Org Per
Month
90.0
Product Ty…
Snowflake
May 2020
Jun 2020
BigQuery
Avg Revenue Per Query
Jul 2020
Aug 2020
Google Sheets
▼
Sept 2020
Oct 2020
API
Excel
organisation…
product
Nov 2020
Dec 2020
Jan 2021
AWS S3
Year Month
Feb 2021
Mar 2021
Data Studio
▼
revenue_tot…
Legacy
query_count
1,488.75
1.
Blick - Kuhn
Data Studio
Oct 2020
null
219
BigQuery
393.18
2.
Wilkinson - O'K…
Snowflake
Oct 2020
null
216
Google Sheets
236.64
3.
Blick - Kuhn
Data Studio
Nov 2020
null
183
API
205.94
4.
Blick - Kuhn
Data Studio
Dec 2020
null
128
Excel
102.22
5.
Mills, Ward and…
Data Studio
Oct 2020
null
109
AWS S3
88.02
6.
Blick - Kuhn
Data Studio
Feb 2021
null
102
Data Studio
85.61
7.
Blick - Kuhn
Data Studio
Jan 2021
null
97
Legacy
38.25
8.
Kirlin and Sons
Data Studio
Mar 2021
null
79
1 - 100 / 304
300+ Cases of Missed Revenue
Opportunities while the query was
executed by teams.
< >
Data Studio
Google Sheets
BigQuery
Snowflake
Excel
API
Legacy
AWS S3
8K
6K
Monthly Query
Usage by Different
Products
Use Filter for Trial
vs Paid Users
is_trial
4K
2K
▼
0
Mar 2020
Apr 2020
May 2020
Jun 2020
Jul 2020
Aug 2020
Sept 2020
Oct 2020
Nov 2020
Dec 2020
Jan 2021
Feb 2021
28.3%
Product Distribution
% Wise
based on
Query Usage
69.7%
API
AWS S3
BigQuery
Data Studio
Excel
Google Sheets
Legacy
Snowflake
Mar 2021
1.2K
Average TAT
Perfromance
to Convert a
Customer.
Average Turn Around Time in Days
1K
(Days taken to
Run first Paid
Query from First
Contact)
800
600
400
Product
▼
200
Company
▼
0
pt
Se
20
17
N
2
ov
01
7
J
2
an
01
8
r
Ma
20
18
J
2
un
01
Product Type
Product Wise Avg
TAT to become a
customer
BigQuery
Google Sheets
Data Studio
API
Excel
Legacy
Snowflake
8
A
2
ug
01
8
t2
Oc
01
8
J
2
an
01
9
r
Ma
20
19
y2
Ma
01
9
l
Ju
20
19
pt
Se
20
19
N
2
ov
01
9
J
2
an
02
0
r
Ma
20
20
y2
Ma
02
0
l
Ju
Average TAT in Days to become a Paid Customer (Days)
20
▼
-
20
pt
Se
20
20
N
2
ov
02
0
Churned Month
1
3
4.4%
5%
In which month
Customer churns
the most ?
2
24.9%
12
6.1%
4
9
6.1%
7
6
5
6.1%
8
15.5%
10
6.6%
11
9.4%
11.6%
200
3
2
8
175
Customer Current
Month
Distribution by
Revenue
Category
Total Customers
150
100
7
9
12
50
37
8
10
17
1
7
4
8
36
1
12
28
25
0
10
11
5
12
8
3
-
45
4
1
-
-
1
5
5
8
11
5
11
6
11
6
7
-
13
1
7
5
6
2
1
6
6
4
4
2
2
2
2
2
1
1
15
17
24
20
18
22
16
25
19
26
21
12
10
14
Current Month of Customer
Recurring
Churn
Expansion
Contraction
Winback
-3K
-2.5K
Churn Losses
MoM/QoQ/YoY
Churn Amount
-2K
-1.5K
-1K
-500
0
Feb
2020
-150.9
-364.3
-260
-651.1
-292.5
-957.9
-771.5
-682
-1.2K
-1K
-1.5K
-2.8K
-1.2K
Mar 2020
Apr 2020
May 2020
Jun 2020
Jul 2020
Aug 2020
Sept 2020
Oct 2020
Nov 2020
Dec 2020
Jan 2021
Feb 2021
60,0…
51.8K
53.7K
51.5K
48.7K
50,0…
Month on Month
Comparison
Revenue on
Different Years
monthly_recurring_revenue
43.1K
39.8K
31.3K
30,0…
▼
33.3K
27.5K
24.8K
21.4K
20.1K
20,0…
17K
16.4K
15.4K
11.4K
10,0…
Rev Category
36.5K
40,0…
0
14.3K
11.9K
8.2K
4.1K 3.1K
January
9.7K
8.7K
4.5K
1.2K
February
156.6
March
97.2
April
May
June
July
August
Month
2020
2021
2022
September
October
November
December
Top Companies with Lifetime Revenue & Query Usage
organisation_name
Revenue
▼
Queries Count
Companies with Lifetime 0 Usages but revenue charged.
organisation_name
Avg Revenue Per Query
17,865
332
53.81
1.
Morar - Labadie
O'Hara LLC
9,501.24
595
15.97
2.
McCullough, Considine and Gor…
3.
Bechtelar Inc
8,974.68
41
218.89
3.
4.
Halvorson Inc
5,948.88
184
32.33
5.
Schuster, Bernhard and Halvor…
4,680
14
6.
Haley - Corwin
4,099.21
7.
Heidenreich and Sons
8.
Revenue
▼
Queries Count
13,742.76
0
1,928.4
0
Ebert and Sons
1,923.96
0
4.
Zboncak LLC
1,380.72
0
334.29
5.
Windler - Maggio
1,275.6
0
87
47.12
6.
Kshlerin - Kiehn
1,239.86
0
3,911.02
18
217.28
7.
Deckow, Hilll and Heathcote
1,233.24
0
Miller - Pfannerstill
3,830.03
114
33.6
8.
Bradtke, Vandervort and Zieme
993
0
9.
Hintz - Stiedemann
3,745.2
11
340.47
9.
Prosacco, Kassulke and Nikolaus
863.26
0
10.
Feil, Barton and Runte
3,720
412
9.03
10.
Heathcote, Aufderhar and Heat…
851.13
0
11.
Spencer Inc
3,696
1
3,696
11.
Pacocha, Rogahn and Roob
836.87
0
12.
Johnston, Okuneva and Rath
3,687.12
354
10.42
12.
Towne, Weimann and Hermiston
805.8
0
13.
Bogisich - Denesik
3,543.24
42
84.36
13.
Yundt, Emmerich and Powlowski
660
0
14.
Hagenes Group
3,352.8
65
51.58
14.
Franecki - Reichel
657.6
0
15.
Hand - Haag
3,318.91
5
663.78
15.
Gerhold Inc
655.2
0
16.
Goodwin - Trantow
3,144.44
825
3.81
16.
Stanton - Streich
653.4
0
17.
Price - Glover
3,114.22
153
20.35
17.
D'Amore, Johns and Waters
648.12
0
18.
Abernathy LLC
3,001.17
208
14.43
18.
Wiegand, Kozey and Cartwright
644.52
0
19.
Ruecker - Rohan
3,000
249
12.05
19.
Schmeler - Koch
643.2
0
20.
Legros, Schaefer and Hermann
3,000
198
15.15
20.
Gleason - Will
640.8
0
21.
Beahan - Johnson
2,894.42
39
74.22
21.
Paucek, Mraz and Trantow
625.2
0
22.
Hermann Inc
2,791.14
66
42.29
22.
King, Ritchie and Schinner
624.36
0
23.
Brown, Nienow and Jaskolski
2,722.07
37
73.57
23.
Runolfsson, Trantow and Feest
615.21
0
560,287.72
69,997
39,715.07
24.
Hahn - Zulauf
607.56
0
49,164.18
0
1.
Wilkinson - O'Kon
2.
Grand total
1 - 100 / 667
< >
Grand total
Around 12% companies which are contributing to 8% revenue are needs to be taken care.