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Case Study · Small Businesses (SMB) Customer Experience & Digital Transformation

お客様がレディースサロンの予約を取り、来店するようナッジする

プロジェクトの目標は、電話後の予約を促し、すべての予約の参加率を向上させることでした。

Behavioral EconomicsMarketingCustomer Experience
Client
Noona Beauty
Industry
Small Businesses (SMB) Customer Experience & Digital Transformation
Date
2024-09-09
Timeline

01The Impact

The results, up front.

Behavioral Biases
4
Used to improve the KPIs of the ladies salon
Cancellations & No Show
-13%
In a month we decreased cancellations and no-shows by 13%
Sales rate
18%
Over a month we sent the offer message and got a 17% response rate and an 18% sale rate.

After a month of testing messages with customers we found that the offer messages had a 17% response rate and an 18% sale conversion on the responses. Going forward we will be optimising the offers and iterating. We found that the commitment device significantly decreased the cancellation rate by 13% . Increased Sales During the month of testing sales on average increased by 49%. Decreased cancellation rate During the month of testing cancellation rate decreased by 13%. Data to inform iteration Based off the data we have collected we can iterate our messaging to further improve results.

02 — The Challenge

Where they started.

Noona Beauty had a problem that was two fold, the first problem was that potential customers were calling the salon but not making an appointment. The second part of the problem was that new and returning customers were not showing up for their appointments. We looked at all 7 steps of the journey and identified the friction points that existed during the selection phase and the purchase phase were the biggest barriers to the desired behavior.

03What We Did

The work.

01

In the selection phase, customers were overwhelmed by th…

In the selection phase, customers were overwhelmed by the number of choices they had to make and during the purchase phase, customers were not committed to attending their appointments and were unaware of the consequences.

02

We considered a variety of touch points but ultimately d…

We considered a variety of touch points but ultimately decided that our intervention would be best received via WhatsApp as it is cost effective and easy to implement. We optimised existing WhatsApp messages and created new messages using behavioural economic principles.

03

To alleviate the choice overload we sent customers a tim…

To alleviate the choice overload we sent customers a timely message with offers that would incentivise the customer to take action. We adapted previous reminder messaging that made the consequences of cancelling salient and prompted an action from the customer.

04

For the offer message we reduced choice overload by usin…

For the offer message we reduced choice overload by using the decoy effect which reduced the number of choices. For the message post booking, we sent well timed reminders that used commitment devices.

04 — Approach & Methodology

How we got there.

Behavioral Consultant

05In Practice

Project samples.

Noona Beauty project sample 1
Noona Beauty project sample 2
Noona Beauty project sample 3
Noona Beauty project sample 4
Noona Beauty project sample 5

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