3 Ways Top Apparel Brands Are Using Tydo

Data is both a guide and a hurdle for DTC brands wrestling with the intricacies of large catalog sizes. Every click, purchase, and interaction paints a picture of customer behavior. In the right hands, data can inform everything from product development to marketing. It reveals customer interests and preferences, empowering brands to meet and exceed expectations.

Being unequipped to parse out a vast array of data can be overwhelming. Without a clear way to understand and apply extensive volumes of data, the wealth of information becomes a burden that hinders progress.

With so much data complexity, Tydo offers accessible insights that distill customer purchasing behavior into a personalized strategy. This unrivaled clarity puts power in the hands of apparel brands as they expand their comprehension of the factors driving repeat purchases.

1. Understanding customer segmentation and welcome flows

Mastering the various segments that make up your customer base is not just about categorization; it’s a strategic approach to shaping their journey to purchase with you. 

More robust segmentation helps you tailor relevant promotional content to hyper-specific groups of customers, establishing a more personalized connection that drives repeat business. And you can do so right from the start of their journey with you. Welcome emails that directly speak to a customer's needs tell them you understand and can meet those expectations.

With Tydo, apparel brands can mold the customer journey. Our segment tool goes beyond categorizing customers based on metrics like order timing and AOV. Instead, it lays the foundation for customer segments based on patterns in customer behavior throughout every step of the buying process. By deciphering customer preferences, Tydo allows brands to inform data-driven strategies that boost product sales and marketing efforts.

For apparel brands like St. Javelin, easier data management alleviates the stress of spotting patterns in a long customer list. In their case, expanding from stickers into apparel, accessories, and decor led to countless unknown customer segments. Tydo offered digestible insights from years of transaction data, helping St. Javelin discover:

• Which individual products and categories were performing best
• How AOV and repeat business varied between categories
• What kept customers coming back

Tydo's segmentation tool broke down customers based on their preferred product category, showing St. Javelin the LTV of each segment. With a clearer picture of customer behaviors, the brand confidently refined their segmentation strategies, ensuring that new products were introduced to segments most likely to engage and make repeat purchases. This customer-centric approach allowed St. Javelin to adapt their product offerings alongside the evolving customer needs and preferences.

2. Analyzing how free items influence high-end purchases

Customers often need more time to consider high-end purchases. They want to ensure the price tag matches the product quality they're purchasing, but have no way of doing so when purchasing online. For brands, this hesitation can be a significant barrier to convert potential customers effectively.

Offering free items, such as a small sample or add-on, helps uncover patterns in customer behavior. By analyzing which items are more successful, brands can learn what drives purchases to tailor more effective marketing strategies. This approach addresses customer hesitancy by providing an enticing offer and helps brands optimize marketing efforts based on what resonates with their audience.

With Tydo's segmentation capabilities, brands can categorize customers based on their response to free items. Our robust analytics help spot trends and translate customer responses into actionable insights, facilitating a seamless and informed decision-making process. Easily accessible data allows brands to see the results and act upon them clearly:

• Items with lower conversion rates can be discontinued
• High converting items can be optimized to entice customers toward higher AOV purchases
• New promotions, like a try-first sample, can be monitored based on efficiency

Armed with these insights, brands can refine their promotions. Rather than a one-size-fits-all approach, future promotions can be tailored to each segment’s preferences. For example, if customers in a specific segment show a higher conversion rate for free accessories, brands can experiment with different items to see which convert the most.

Apparel brands can be confident in a strategic approach prioritizing a greater return on investment. Clarifying each segment’s preferences and behaviors ensures purchases driven by promotional offers match customer needs. Rather than offering the same complimentary accessory with any purchase, brands can use Tydo’s custom data filters to define which add-on contributes most to follow-up purchases.

3. Enhancing knowledge of customer behaviors

Advanced analytics from Tydo helps spotlight customer purchasing behaviors for more effortless engagement and continued business.

Tydo's segmentation tool uses custom algorithms to anticipate customers' journeys by: 

• Learning and adapting to shifts in customer preferences ultimately informs your segmented lists. 
• Seeing exactly how your customers’ buying habits change allows for more informed decision-making in real time.

Tydo doesn’t stop at providing data; it explores every angle that can inform the countless factors driving recurring purchases. 

For example, they can explore customer behavior patterns after a purchase has been completed to see when the likelihood of a repeat purchase is highest. By understanding when customers are most likely to return, brands can focus their marketing efforts around that time frame. They can send targeted re-engagement emails leading up to that date and discount offers after to draw customers back in.

One Tydo client discovered that they had recently seen a 5% increase in returning customers. Unfortunately, they didn't know what they did to get that result. Tydo’s analytics allowed them to define:

1. When and how their customers are acquired
2. What makes somebody buy a second or third time
3. Which SKUs have the highest repeat rate and why

Tydo’s solution helped gather and showcase a level of detail beyond what the brand could do in Shopify alone. As a result, the client understood and defined which products most often led to a second purchase.

By enabling brands to move beyond static observations, Tydo makes it easy to inform a data-driven approach to customer acquisition.

Tydo turns your brand’s data into a truly priceless asset

With Tydo, apparel brands can quickly transform raw data into actionable insights. Our analytic tools give you the specific information you need to keep your businesses growing and thriving. Tydo is fully customizable to meet your unique needs with:

• Data that works for you: Spend less time managing data and more time acting on it. 
• Personalized goals: Define your key objectives and metrics across every step of the buying journey.
• Critical integrations: Keep all insights aligned with existing workflows from Shopify, Klaviyo, Google Analytics, and other essential platforms.

The best way to find out how well Tydo can support your apparel brand is first-hand. Book a personalized walkthrough and learn more today.

‍