Insights

Understand what customers search for, how their needs evolve, and which topics drive engagement. Use insights to identify merchandising opportunities and stay ahead of customer demand.

Overview

The Insights page helps you understand customer behavior through:

Query trends - What customers search for and how volume changes over time

Topic analysis - Common themes and patterns grouped into categories

Search attributes - Product characteristics customers care about (color, size, material, price)

Query intents - What customers want to accomplish (find products, get recommendations, ask questions)

Use trending queries to:

Spot emerging customer interests early

Adjust merchandising for growing demand

Phase out products for declining searches

Change in Conversion Rate

Track which queries convert better or worse over time. Shows how effective search results are at driving purchases for specific terms.

High-volume queries with low or declining conversion rates are prime candidates for merchandising optimization (boosting, slotting, or improving product selection).

Topics

Related queries grouped into common themes. Topics help you see the bigger picture beyond individual search terms.

Example topics:

Waterproof gear - All searches related to waterproof products (boots, jackets, bags)

Gift ideas - Searches about gifts for different occasions or recipients

Size and fit - Questions about sizing, measurements, and fit

Sale items - Searches for deals, discounts, and promotions

Each topic shows:

Total query count

Trending indicator

Sample queries within the topic

Search Attributes

Product characteristics customers search for most frequently. Shows what attributes matter to your customers.

Common attributes:

Color - "black dress", "red shoes"

Size - "size 10", "large", "oversized"

Material - "leather", "cotton", "waterproof"

Price - "under $100", "affordable", "budget"

Style - "casual", "formal", "minimalist"

Fit - "slim fit", "wide width", "true to size"

Query Intent

What customers want to accomplish when they use Nobi. Categorized into common intent types.

Intent categories:

Search for products - Looking for specific items or browsing categories

Get recommendations - Asking for suggestions or personalized advice

Ask questions - Inquiring about products, policies, or information

Browse collections - Exploring product groups or categories

Compare products - Evaluating differences between items

Filtering and Time Ranges

Time Range Selection

View insights for different periods:

Last 7 days

Last 30 days

Last 90 days

Custom date ranges

Longer time ranges help identify sustained trends rather than short-term fluctuations.

Sorting and Filtering

Query sorting:

By volume (most searched)

By trending status (increasing/decreasing)

By conversion rate (best/worst performing)

Use sorting to focus on different priorities: immediate opportunities (trending), sustained volume (top queries), or performance issues (low conversion).

Common Questions

How often do topics update?

Topics are recalculated regularly as new queries come in. Check back weekly to see how topics evolve.

Why are some queries marked as spam?

Spam queries are test searches, bot activity, or gibberish. You can filter these out in Performance Metrics.

Can I create custom topics?

Topics are automatically generated by Nobi's AI. Custom topic creation is not currently available.

What's the difference between attributes and topics?

Attributes are specific product characteristics (color, size). Topics are broader themes that group related queries together.

How far back does historical data go?

Insights show data from when Nobi was installed on your store. Longer time ranges provide more context for trends.

ℹ️ LLM-based Categorization
The insights feature uses LLMs to automatically categorize queries. You might see inaccuracies or inconsistencies.