How to Use Search Data to Plan Promotions and Bundles on Shopify

Most Shopify merchants plan promotions and bundles based on intuition — seasonal trends, supplier pushes, or what competitors seem to be doing. But the most powerful indicator of what your customers actually want is already inside your store: your search data.

Every search query reveals real-time demand. When someone types “linen shirt,” “baby gift set,” or “wireless keyboard,” they’re telling you exactly what they’re ready to buy. And because shoppers who use on-site search convert 2–3x higher than those who browse, these signals are far more reliable than generic market trends or guesswork.

The problem is that most stores don’t use this data strategically. High-demand search terms go unnoticed, zero-result searches are ignored, and bundles are created without aligning to what customers actively look for.

In this guide, you’ll learn how to turn search insights into high-converting promotions, profitable bundles, and smarter merchandising decisions. Whether you’re a D2C brand or a multi-category Shopify store, using search data the right way helps you sell exactly what shoppers want — at exactly the moment they want it.

Types of Search Data Every Shopify Merchant Should Track

Understanding which search patterns matter — and why — is the key to planning smarter promotions and bundles. Not all search queries carry the same weight. Some reveal strong buying intent, others highlight product gaps, and some expose friction in the experience. Here are the core data types every Shopify merchant should monitor:

1. Top Searched Keywords

These are the queries customers type most often, reflecting your store’s highest-demand categories, attributes, or products. If “cargo pants,” “eyelash serum,” or “coffee mugs” consistently appear at the top, they should be candidates for spotlight promotions, ad campaigns, or bundled offers. High-volume keywords = high interests

2. Searches With High Click-Through Rate (CTR)

A high CTR means shoppers find what they expect after searching. These terms signal strong product-market fit and are ideal for:

• Limited-time promotions
• Seasonal pushes
• Cross-sell and upsell bundles
  For example, if “running shoes” has high CTR, a “complete running kit” bundle can convert exceptionally well.

3. Zero-Result Searches

These are your biggest hidden opportunities. When customers search for something and get no results — “pastel shirts,” “pet-safe candles,” “rose gold phone case” — it reveals unmet demand. Zero-result queries can inspire:

• New product additions
• Curated collections
• Trend-based bundles
• Attribute-focused promotions (e.g., a “pastel edit”)
  Ignoring these is leaving money on the table.

4. Searches With High Exit Rate

If users search for a term but quickly leave after seeing results, it signals a deeper issue. Common reasons include:

• Prices too high
• Product quality mismatch
• Lack of variety
• Poor product images or descriptions
  These keywords should guide audit-based promotions — for example, offering bundle discounts or better-value promotions to recover lost interest.

5. Attribute-Based Searches

Customers often search using descriptive attributes like:

• Colors: “black dress,” “olive jacket”
• Sizes: “plus size,” “size 6”
• Materials: “cotton,” “linen,” “leather”
• Price brackets: “under $30,” “budget gifts”
  Attribute-driven searches are perfect for segmented promotions and themed bundles (e.g., “all-linen summer essentials,” “black outfit bundle,” “under $50 deals”).

6. Seasonal & Trend-Based Queries

Search data shifts dramatically during festivals, holidays, and seasonal changes. Terms like “winter jackets,” “Diwali gifts,” “back-to-school,” or “summer skincare” reveal high-intent demand spikes. Identifying these trends early helps you plan:

• Seasonal bundles
• Holiday promotions
• Dedicated landing pages
• Inventory positioning

This is where AI-powered tools (like Wizzy.ai) shine by identifying trending queries before they peak.

How to Analyze Shopify Search Data (Native + Advanced Tools)

Understanding how shoppers search is one of the most powerful ways to improve conversions, and Shopify gives you a basic foundation to start with. But to build high-performing promotions and bundles, you need deeper intelligence — the kind that reveals intent, gaps, and emerging trends. Here’s how to analyze search data effectively using both Shopify’s native tools and advanced AI search platforms.

1. Start With Shopify’s Built-In Search Analytics

Shopify’s Search & Discovery app provides foundational insights into how customers interact with your store’s search bar.
You can track:

• Top search terms
• Search terms with no results
• Most-clicked search results
• Filters used by shoppers

This gives you a quick snapshot of what people look for most and which terms may be underperforming due to missing products or poor tagging.

2. Understand the Limitations of Native Shopify Search Data

While Shopify’s built-in data is helpful, it has notable limitations that affect decision-making:

• No intent detection: Shopify can’t understand natural language or buyer intent behind queries like “gift for dad under Rs 1000.”
• No semantic understanding: It treats “running shoes,” “sneakers,” and “sports shoes” as different terms unless manually mapped.
• Zero context on why searches fail: It tells you a term produced no results, but not why.
• No insight into search-to-purchase journey: You can’t see which search terms correlate most with conversions or AOV.
• Limited trend detection: Shopify doesn’t highlight rising queries or seasonal spikes proactively.

To go beyond surface-level insights, you need advanced tools that analyze search behavior more deeply.

3. Use AI-Powered Search Tools for Deeper, Actionable Insights

Platforms like Wizzy.ai uncover the patterns and meaning behind search behavior — something native Shopify reports can’t do. Here’s what AI search analytics reveal:

a. Synonym Detection

AI automatically recognizes that “tee,” “tshirt,” and “t-shirt” are the same intent.
This reduces zero-result searches and surfaces hidden demand clusters that should influence promotions and bundles.

b. Intent Clusters

Instead of showing dozens of disconnected keywords, AI groups them by intent categories:

• “Workout wear” cluster (leggings, sports bra, tank top)
• “Home office essentials” cluster (keyboard, mouse, laptop stand)
  These clusters are ideal for bundle creation and themed promotions.

c. Trending Search Themes

AI highlights new searches gaining momentum before they become mainstream — e.g., “pastel dresses,” “minimalist jewellery,” “linen co-ords.”
Merchants can act early by creating collections or promotional campaigns around these rising trends.

d. Demand Scoring

AI assigns scores based on:

• Search frequency
• CTR
• Conversion probability
• Customer behavior after searching
  This gives you a clear view of which products or attributes deserve promotion priority.

e. High-Potential Products for Bundling

AI cross-references search and purchase data to identify items frequently searched together — even when users don’t explicitly type them in one query.
Examples:

• “Moisturizer + sunscreen” → skincare combo
• “Yoga mat + bottle” → fitness starter kit
• “Hoodie + joggers” → streetwear bundle
  These insights help you create bundles that match real customer intent, not assumptions.
  
  

Using Search Data to Plan High-Converting Promotions

Search data gives you a real-time window into what customers want right now — making it one of the most reliable sources for planning profitable promotions. Instead of guessing which products to discount or highlight, you can use actual shopper intent to drive your promotional calendar, reduce wasted spend, and increase conversion rates. Here’s how to do it effectively:

a. Identify Products With Rising Search Demand

When search volume for specific items or categories starts climbing, it’s a clear sign of growing interest. These are perfect candidates for timely, high-impact promotions.

For example:
If you notice a surge in searches for “linen shirts”, “silver jewellery,” or “slip-on shoes,” that’s momentum you can capitalize on with:

• Limited-time collection-wide discounts
• Feature placement on the homepage
• Targeted Google/Meta ads
• Email or WhatsApp promotions around trending items

Promoting a product at the exact moment demand spikes always performs better than blanket discounts spread across the entire store.

b. Create Targeted Promotions Around Popular Attributes

Customers often search with specific attributes in mind — color, size, material, pattern, or price bracket. These intent signals are perfect for hyper-targeted promotions because they reflect strong decision-making behavior.

Examples of attribute-led searches:

• “black boots” → color-driven promotions
• “small size top” → size-specific campaigns
• “cotton bedsheet” → material-focused bundles or discounts
• “gifts under $30” → price-tier promotions

How to act on these:

• Create attribute-specific landing pages (“All Cotton Styles,” “Black Essentials Collection”)
• Run campaigns targeting these attributes across ads, email, and search
• Add banners or search-rank boosts that highlight related products

This level of targeting improves relevance and significantly boosts CTR and conversion rates.

c. Fix Low-Conversion, High-Search Products

Some products attract a lot of search interest but fail to convert — which is a strong indicator of friction. This is where search data becomes your diagnostic tool.

Possible reasons for low conversions:

• Price mismatch: Product is priced higher than what the searcher expects.
• Poor product images: Low-quality visuals cause hesitation.
• Weak descriptions: Missing details shoppers are actively looking for.
• Low inventory or size unavailability: High search → zero selection.
• Irrelevant ranking: The right product appears too low in search results.

Promotions can help bridge this gap by offering:

• Limited-time pricing incentives
• Product bundles to boost perceived value
• Free shipping or low-cost add-ons
• A/B tested product page improvements

Example:

If “sports bra” is a high-search but low-conversion item, a promotion like “Buy Sports Bra + Leggings & Save 15%” or improved product visuals can immediately recover lost demand.

Using Search Data to Build Intelligent Product Bundles

Search data doesn’t just show what customers want — it reveals how they shop and what products they naturally group together in their minds. This makes it one of the most effective tools for designing bundles that feel intuitive, relevant, and high-value. When bundles align with real search intent, they convert significantly better than generic “Buy X + Y” offers. Here’s how to use search signals to craft bundles that actually sell:

a. Build Bundles Around Co-Searched Terms

When shoppers frequently search for two items in the same session — or within similar contexts — it’s a clear sign that these products are used together or complement each other. AI search tools make this pattern obvious by detecting co-search relationships.

Example:

If customers consistently search for “sports bra” and “gym leggings” in the same session, that signals a natural matching set. Creating a fitness bundle with a small discount instantly boosts AOV because you’re bundling based on real user behavior.

Other examples:

• “Shampoo” + “Conditioner” → Haircare duo
• “Phone case” + “Screen protector” → Accessory protection set
• “Serum” + “Moisturizer” → Daily skincare combo

These bundles feel organic — not forced — because you’re mirroring the shopper’s own intent.

b. Combine Complementary Attributes Driven by Search

Many searches revolve around attributes rather than specific products. Queries like “travel kit,” “winter essentials,” “home office setup,” or “party wear accessories” reveal the outcome customers want, not just individual items.

You can turn these attribute-based themes into high-converting bundles. For example:

• “Travel kit” searches → Toiletry bag + mini bottles + travel-size skincare
• “Winter set” searches → Beanie + gloves + scarf
• “Home office bundle” → Keyboard + mouse + desk lamp

These bundles tap into a shopper’s broader need or lifestyle moment, which increases perceived value and purchase likelihood.

c. Create Price-Tier Bundles Based on User Queries

Price-based search terms like “gifts under $20,” “budget skincare,” or “$50 office gifts” are a goldmine for crafting value-driven bundles. These shoppers are already anchored to a budget — your job is to give them a ready-made option that fits it.

Examples:

• “Gifts under $20” → Sock set, small accessories, stationery packs
• “Under $50 skincare” → Cleanser + face mask bundle
• “Budget home decor” → Candle + table mat combo

Price-tier bundles convert exceptionally well during festive seasons, gifting periods, and BFCM sales because they simplify decision-making

d. Use Search Intent Clusters for Multi-Item Bundles

AI search platforms (like Wizzy.ai) group queries into intent clusters — patterns that reveal the “shopping mindset” behind the search. These clusters are your blueprint for high-ROI multi-item bundles.

Common intent clusters include:

• “Baby skincare” → Shampoo + lotion + rash cream
• “Organic essentials” → Organic soap + scrub + body butter
• “Party wear accessories” → Earrings + clutch + hair accessories
• “Home workout” → Resistance band + mat + skipping rope

These clusters help you build bundles that feel curated and purpose-driven, not random. Customers see them as complete solutions rather than just grouped products.

Conclusion

Search data is one of the most powerful and underrated tools Shopify merchants have at their disposal. It reveals what shoppers truly want, how they think, and where the buying journey breaks down. When you use this data strategically, promotions become more precise, bundles feel more relevant, and your conversions grow without guesswork or unnecessary discounts.

Instead of relying on intuition or broad seasonal trends, search insights help you act on real demand — whether it’s spotting rising trends, identifying product gaps, or uncovering natural product pairings. When combined with AI-powered tools, search data turns into a continuous revenue engine, helping you create smarter promotions, more effective bundles, and an overall shopping experience that feels personalized and intuitive.

By aligning your merchandising, marketing, and promotional strategy with what customers are actually searching for, you unlock a level of efficiency and profitability that traditional ecommerce decisions often miss.

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