case
Detective agency Alena Sokolova
Detective agency from St. Petersburg.
Main areas of work:
- search for people/property
- verification of employees and contractors
- anti-counterfeiting
- collection and verification of information
Field
Private investigation
Head office
St. Petersburg
Market
Russia
Staff
5
01
To improve the communication with customers, partners and employees, we have developed a brand identity.
As part of the design concept, we used the idea of applying different graphics, depending on which audience is being addressed.
As a result we created a corporate style guidebook.
We have included a description of the concept, fonts, colors, visual methods, descriptions of the use of graphics and photo style, creative concepts and examples of correct and incorrect use of style.
02
The structure is attuned to the target audience’s needs
A simple interface which makes finding necessary information easy
We analyzed the law of the Russian Federation "On private detective and security activities". We correlated the main types of services listed in the legislation with the user's search queries. As a result, the information was reflected within the framework of the current legislation.
We kept everything important, made key thoughts and headlines bigger and highlighted the details with colors.
Developed with NUXT and CONNECTED TO CMS PRISMIC.
This allows the client to control content and create new website pages by themselves.
03
An accounting CRM was built on the basis of the Rosstat system. The main work processes of the team were built through telegram-bot
User communication (messengers, bots, email newsletters) is thoroughly connected to the system
04
05
The user performs a significant action on your website, app or telegram bot. Data about the user and his actions is immediately transferred to the database.
Several systems can be used as databases at the same time: CRM, Roistat, CDP.
Each system has its own algorithms and settings for processing the received data. The main task is the dynamic compilation of segments according to the parameters we are interested in.
After that the segments are integrated into pre-prepared advertising cabinets. Each segment sees personalized advertising: context, email newsletters, chatbots and messengers.
After the first iteration of training the algorithms cost per lead halved. After more thorough training by API (for example, sending confirmation of demand to yandex and vk) cost per lead became even lower.
As a result, we paid only for interested users and did not pay for garbage traffic: job seekers, mass media, third-party salesmen, etc.
traffic per month
665
7557
sales per month
0
22
Revenue
10 000 000 ₽
CPA
20 000 ₽
2727 ₽
CPL
10 000 ₽
average check
1 600 000 ₽
ROI
1016%