"Дожми Продажи" is an AI-based voice analysis service for sales calls, aimed primarily at sales departments. After connecting customer communication data sources, the platform automatically transcribes salespeople's calls, evaluates them against configurable criteria, and links communication content to deal outcomes, helping managers identify reproducible signals and actionable areas for improvement.
Purpose The platform is used to analyze real communications between the sales team and customers, including calls, chats, and emails. It does not replace managers in making decisions, but rather presents facts, specific communications, and the basis for the next management action. Through analysis, a company can identify recurring objections, issues, and points of deal loss, validate management hypotheses, evaluate established criteria, and continuously track changes in key metrics.
Key capabilities
- Distinguish call content by speaker and generate conversational transcript text;
- Search by keywords and phrases and automatically tag calls;
- Save transcripts to the CRM;
- Evaluate calls against company criteria (such as needs discovery, quoting, objection handling, agreeing on next steps, agreeing on a specific follow-up date, upselling, maintaining control of the conversation, and following company standards);
- Compare different communications and show dynamics by employee and by period;
- Find recurring signals in won and lost deals;
- Provide links to and quotations from specific calls that support conclusions;
- In addition to calls, also analyze instant messaging, email, deal status and history, telephony data, and other types of customer communication data sources;
- Can propose hypotheses about possible causes and suggest next validation actions.
How it is used The platform automatically retrieves new calls from connected data sources, transcribes them, and analyzes them according to configured rules. The work cycle is: connect calls and other available data sources -> define a question, research topic, or criterion -> AI analyzes communications -> the platform shows discovered signals and supporting quotations -> managers review and calibrate important conclusions -> incorporate confirmed criteria into routine monitoring -> after management actions, test whether the situation has changed. A company can first describe its current management focus in plain language, and the "Дожми Продажи" team helps turn it into testable criteria: AI evaluates calls against the criteria, managers review disputed samples, clarify the wording of the criteria, the system is calibrated according to company rules, and finally the criteria are incorporated into routine monitoring. Evaluations can be binary judgments or other intuitive scales, and every result can open the call to view the supporting quotations. The platform can process large volumes of calls without the need for manual listening to each one.
Integration and implementation The platform can integrate with Битрикс24, amoCRM, telephony systems, and other customer communication data sources. There is no requirement to replace the CRM or migrate all data; the company can continue using its existing CRM, telephony, and usual channels. The specific integration method depends on the available API. Data structure, the telephone system used, and the agreed data transmission method. Before launch, the existing infrastructure is checked and a suitable solution is determined. Implementation is carried out by the «Дожми Продажи» team and typically includes: identifying available data sources, agreeing on access and data transmission, loading or obtaining the first calls, performing an initial analysis, choosing a management focus, configuring standards, calibration, and launching regular processing. Access, configuration, calibration, and standard support are included in the package.
Applicable scenarios Suitable for companies seeking to improve the transparency of sales management, making it possible, without listening to recordings one by one, to check whether a large number of calls perform established actions, analyze repeated customer questions, reasons for rejection, competitor objections, and the differences between successful and unsuccessful communications, and verify the validity of management hypotheses on a broader sample.
Limitations and caveats Speech analytics by itself does not guarantee growth in sales, revenue, or conversion; results depend on the quality of the source data, the chosen focus, management decisions, and the team's implementation of the established changes. The repeated patterns found are not necessarily proven causes of rejection; the platform presents signals, cases, and hypotheses that managers need to verify on a larger sample. The source material does not provide specific metrics such as data retention periods or analysis accuracy. Data storage and processing are located on Russian server infrastructure, in compliance with the requirements of Federal Law No. 152; customer data is not transferred outside the Russian Federation, AI processing runs on proprietary infrastructure within Russia, and data is not passed to foreign AI services.
Pricing Cost depends on the number of new calls analyzed by the platform per month. Current packages: up to 50 calls per month free (0 ₽); 200 calls 5,990 ₽; 500 calls 9,990 ₽; 1,000 calls 14,900 ₽; 2,000 calls 19,900 ₽; 4,000 calls 29,900 ₽; 10,000 calls 49,900 ₽. Other volumes are calculated individually. The package includes: turnkey implementation, standard configuration and calibration, AI training based on company data, regular analysis, and team support. Tokens, recording minutes, number of employees, and number of analyses are not billed separately. One call means one new recording obtained by the platform from a connected data source and processed within the monthly package; the billing method for short calls, missed calls, repeatedly uploaded recordings, repeated processing of the same call, etc., is agreed upon and fixed before connection. A free initial analysis helps the company understand the repeated signals in real communications and choose the standards worth including in regular monitoring; after that, the company decides on its own whether to continue regular use of the platform.
