$360K+ in annual savings on SMS messaging
How we tested the impact of SMS on customer contact rates, replaced a costly SMS scenario, and scaled a more efficient approach across multiple markets.
The challenge
SMS costs had increased fourfold within a year, but the business had no clear view of which communication scenarios actually affected performance or justified the spend.
The challenge was to identify what was driving most of the spend, evaluate communication effectiveness using data, and determine whether costs could be reduced without compromising results.
What was done

Analyzed the SMS cost structure and identified the main budget driver

Initiated A/B testing to measure the impact of SMS on contact rates

Compared results and assessed the economic value of the existing scenario

Designed a new first-contact scenario without unnecessary SMS communication

Scaled the solution across international markets

Prepared requirements for an end-to-end analytics system
How the problem was diagnosed and the scenario redesigned
At first, the only known issue was a sharp increase in SMS spending. Analysis revealed what was driving the cost, while subsequent testing showed why the scenario had been introduced in the first place and how the underlying problem could be solved more efficiently.
  • Analyzed the cost increase
    Exported data for all SMS messages and compared May and July to understand what was driving the increase in spending.
    1
  • Structured SMS data by template
    The raw data did not contain a useful classification of messages. SMS templates were assigned consistent identifiers, making it possible to calculate the volume and cost of each communication type.
    2
  • Identified the main cost driver
    The analysis showed that around 95% of the SMS budget was being spent on a single template sent to customers before the first contact center call.
    3
  • Tested the impact of SMS on contact rates
    It became clear that the SMS was intended to increase the likelihood of reaching customers on the first call. An A/B test was run to measure whether the scenario actually improved contact rates enough to justify its cost.
    4
  • Redesigned the outbound contact strategy
    Instead of trying to solve the contact-rate problem with additional SMS messages, a new first-contact and call-sequencing approach was developed.
    5
  • Scaled the more efficient solution

    The new approach increased the contact rate by 6% while eliminating most of the unnecessary SMS spend. The solution was then scaled across Russia and international markets.
    6
Results
An expensive communication scenario was replaced with a more efficient approach, reducing unnecessary spend and giving the business better control over communication costs.

  • $240K+
    annual savings in Russia
  • $120K+
    annual savings across international markets
  • +6%
    increase in contact rate
Made on
Tilda