HYBRID CONSUMER PANEL NTECH


Methodology of consumer behavior analysis using data of hybrid consumer panel

HYBRID CONSUMER PANEL NTECH


Methodology of consumer behavior analysis using data of hybrid consumer panel

Description of the hybrid consumer panel NTech

The hybrid consumer panel collects data on actual purchases from a representative sample of households in the Russian Federation. Analyzing the panel data enables making accurate strategic decisions.

10134 households

About 800 thousand FMCG receipts per month

All of Russia



Representative sample by:

Subjects of the Russian Federation

Gender

Age

Average spending on FMCG products per month

Additional parameters (children under 3 years old, pets, car)


10134 households

About 800 thousand FMCG receipts per month

All of Russia



Representative sample by:

Subjects of the Russian Federation

Gender

Age

Average spending on FMCG products per month

Additional parameters (children under 3 years old, pets, car)


Gender
representation
among
participants
Age 18-60
85 subjects of Russian Federation
51,2%
Women
Men
48,8%
85 subjects of Russian Federation
Age 18-60
48,8%
Men
51,2%
Women
Gender
representation
among
participants
NTech panel participants
Population
of Russia*
* Federal State Statistics Service (Rosstat) data "Population of the Russian Federation by gender and age as at January 1, 2022"
Federal districts ratio
CFD
VFD
SFD
SFD
NWFD
UFD
NCFD
FEFD
NTech panel participants
Population
of Russia*
* Federal State Statistics Service (Rosstat) data "Population of the Russian Federation by gender and age as at January 1, 2022"
Federal districts ratio
CFD
VFD
SFD
SFD
NWFD
UFD
NCFD
FEFD

2,3 million people
1,3 million people
0,3 million people
0 people
100 people
200 people
300 people
60
57
54
51
48
45
42
39
36
33
30
27
24
21
18
Distribution of participants
By income
By age
* Federal State Statistics Service (Rosstat) data "Population of the Russian Federation by gender and age as at January 1, 2022"
NTech Panel
Population*
Children under the age of 3
Car ownership
Presence of cats
By characteristics
1,4%
5,5%
10,3%
17,6%
26,0%
26,6%
12,6%
34 000 - 38 999 rub.
29 000 - 33 999 rub.
24 000 - 28 999 rub.
19 000 - 23 999 rub.
14 000 - 18 999 rub.
9 000 - 13 999 rub.
4 000 - 8 999 rub.
Proportion of participants
Monthly spending on FMCG-goods
participants of NTech panel
13,4%
19,2%
participants of NTech panel
16,5%
participants of NTech panel
2,3 million people
1,3 million people
0,3 million people
0 people
100 people
200 people
300 people
60
57
54
51
48
45
42
39
36
33
30
27
24
21
18
Cars and apartments
By income
By age
* Federal State Statistics Service (Rosstat) data "Population of the Russian Federation by gender and age as at January 1, 2022"
NTech Panel
Population*
Children under the age of 3
Car ownership
Presence of cats
By characteristics
participants of NTech panel
13,4%
19,2%
participants of NTech panel
16,5%
participants of NTech panel
1,4%
5,5%
10,3%
17,6%
26,0%
26,6%
12,6%
34 000 - 38 999 ₽
29 000 - 33 999 ₽
24 000 - 28 999 ₽
19 000 - 23 999 ₽
14 000 - 18 999 ₽
9 000 - 13 999 ₽
4 000 - 8 999 ₽
Доля
участников
Месячные траты
на FMCG-товары

Consumer Behavior Analytics

  • Distribution of consumer basket features in the regions of the Russian Federation or across sales channels
    1
  • Consumer switching behavior between categories, brands, and retailers

    2
  • Evaluation of the effectiveness of marketing activities

    3
  • Identification of consumer basket characteristics with specific categories, brands, or manufacturers

    4
  • Analysis of average receipts in sales channels based on customer missions

    5
  • Tracking changes in consumption patterns

    6
Work Stages
1
Preliminary data clean-up
2
Automated data labeling: matching with existing data libraries using machine algorithms and neural networks
3

Manual labeling

4
Analytics
5
Detailed report or interactive visualizations in the Tibco Spotfire Analyst BI system with web interface access

Almost the entire business of the Russian Federation is covered