Access to Key Frequency Data if

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It becomes difficult to forecast high-quality revenue growth, and the company loses money: both that spent on purchasing traffic and that the business could have earned. Funnel analysis using a business project as an example Let's assume that the marketing and sales departments have made benchmark conversions. Let's say the funnel looks like this: 80 category A leads ; 150 category B leads ; 210 category C leads .

The average product bill is €750. Example 1. Share of leads afghanistan telegram database from the volume of paid traffic Example 2. A benchmark option to strive for Example of calculating ROMI and DRR These metrics are important to measure and track across channels. ROMI (Return on Marketing Investment) is the return on marketing investment coefficient.

How to calculate ROMI: advertising revenue minus advertising expenses. Divide the result by advertising expenses and multiply by 100. DRR is an indicator that reflects the ratio of advertising expenses to income from this advertising; How to calculate DRR: divide advertising costs by advertising revenue and multiply by 100.

It turns out that with competent work of the marketing and sales department, it is possible to accurately predict revenue and more clearly influence the financial model of the business. Example 1. Share of leads from the volume of paid traffic Example 2. A benchmark option to strive for How to Achieve Sales Benchmarks in Each Lead Category Set up a system for monitoring key performance indicators for sales managers The volume of production is the number of calls that a sales manager makes per day.

The minimum volume of production per day is 120 minutes or 120 calls, including unsuccessful ones. This is a very important indicator, because the fewer calls, the fewer sales and vice versa. The sales manager must call and communicate with clients, since the volume of production directly affects the final sales results.

SLA (Speed ​​of First Touch, Call) is an indicator that measures the time required to respond to an incoming call, request or customer request. The ideal parameter is up to 15 minutes. SLA directly affects the conversion rate. The faster the callback speed, the higher the conversion rate.

When a client leaves a request, they still remember this action and understand that they should be contacted. If the SLA increases, the client either forgets that someone should contact them, or your competitor has already called them back because the client could have left a request somewhere else.