When Automation Gets a Human Touch

20+

Years in business

30

Top specialists

250+

Completed projects

18

Industry awards

Background:

In the ever-evolving world of fashion, staying connected with customers is paramount. Akira, an uber trendy brand on the cutting edge of fashion, recognized a significant opportunity to enhance their communication with customers, leading to a surge in email and SMS engagement. By leveraging data to understand customer preferences, the brand built enriched customer profiles and perfected the timing of their messages.

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Background:

In today's digital-first marketplace, ensuring a seamless customer journey is pivotal. But, like many brands, our client found their new customers stuck at the funnel's top and watched their longtime followers' loyalty wane. Their quarterly goals were in jeopardy, and they needed a swift, strategic intervention.

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Challenge:

01.

Decreasing Engagement Rates:

Initial metrics indicated a drop in email and SMS engagement, signaling decreasing customer interest.

02.

One-size-fits-all Messaging:

The brand's previous communication strategy was largely generic, failing to address individual preferences and needs.

03.

Siloed Data Sources

Multiple, siloed data sources made it challenging to get a unified view of the customer.

01.

Acquisition Bottlenecks:

Potential customers showed initial interest but struggled to move down the funnel, leading to significant drop-offs before conversion.

02.

Retention Decline:

Loyal customers, the lifeblood of any brand, began to lose their connection with the brand, risking churn and lost revenue.

03.

Customer Fatigue:

Potential customers showed initial interest but struggled to move down the funnel, leading to significant drop-offs before conversion.

Activation:

Data-Driven Personalization:

  • Integrated various data points (purchase history, browsing behavior, past engagement) to build detailed customer profiles. This resulted in a 25% increase in email open rates and 15% rise in SMS click-through rates.

Preference Center Implementation:

  • Introduced a preference center, allowing customers to select their communication channels and frequency. This resulted in a 20% drop in email and SMS unsubscribe rates, indicating higher content relevancy and respect for user preferences.

Timely Triggers:

  • Deployed automation tools to analyze real-time customer behavior, triggering personalized emails and SMS messages at optimal times. This resulted in a 30% boost in engagement during key promotional periods and a 10% increase in overall sales conversion from email and SMS campaigns.

Results:

8x

Boost in mobile engeagement

20%

Improvement in customer retention rates

15%

Lift in conversion rate

01.

Acquisition Bottlenecks:

Potential customers showed initial interest but struggled to move down the funnel, leading to significant drop-offs before conversion.

02.

Retention Decline:

Loyal customers, the lifeblood of any brand, began to lose their connection with the brand, risking churn and lost revenue.

03.

Customer Fatigue:

Potential customers showed initial interest but struggled to move down the funnel, leading to significant drop-offs before conversion.

01.

Acquisition Bottlenecks:

Potential customers showed initial interest but struggled to move down the funnel, leading to significant drop-offs before conversion.

02.

Retention Decline:

Loyal customers, the lifeblood of any brand, began to lose their connection with the brand, risking churn and lost revenue.

03.

Waning Loyalty:

Potential customers showed initial interest but struggled to move down the funnel, leading to significant drop-offs before conversion.

Conclusion:

    By blending the power of automation with the precision of personalized communication, Akira not only rejuvenated its digital engagement metrics but also fortified its brand-customer relationship. This case underscores the importance of understanding and valuing customer preferences in the age of automation, emphasizing that a human touch, driven by data, can make all the difference.

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