Initial content in search: Advanced personalization at the zero-query moment

Initial content in search is the set of product suggestions Hello Retail Search displays the instant a shopper clicks the search bar - before a single character is entered. Merchants have long used it to surface top sellers or trending items. A new update brings advanced personalization into that zero-query slot, letting merchants tailor suggestions to individual shopper preferences, budget affinities, and product cluster behavior in just a few configuration steps.

The zero-query moment most stores ignore

Shoppers who reach for the search bar are already in an active buying state. They have intent. The moment they click - before they type anything - is a narrow window where a well-placed product suggestion can either satisfy that intent directly or sharpen it.

Most ecommerce search implementations fill that window with generic best-sellers. That works, up to a point. Research from Epsilon found that 80% of consumers are more likely to purchase when brands offer personalized experiences - and the zero-query moment is about as personal as a touchpoint gets. The shopper has made a deliberate gesture; what they see before they type is a direct signal of how well the store knows them.

Hello Retail’s own platform data makes the case in revenue terms: approximately 6% of total Search revenue flowing through Hello Retail comes from initial content alone. For a feature that activates before a word is typed, that is a meaningful share of the total picture.

What the advanced personalization update adds

The original initial content feature offered a set of sensible display options: top-selling products, trending items, or a static editorial selection. Those modes remain. The update layers individual shopper signals on top of any of them, turning a single store-wide slot into a per-shopper experience.

After the update, merchants can configure initial content to use:

• Preference and bias matching: Show products aligned with the categories and price ranges the shopper has previously engaged with, based on their behavioral history in the store.
• Recently purchased products: Surface items a shopper has bought before - particularly useful for replenishment categories like coffee, skincare, or pet supplies, where the re-buy is predictable.
• High-margin or on-sale products: Position strategically important inventory in this prime slot without manually building a per-shopper list.
• Budget zone alignment: Match the suggested price range to the budget affinity that shopper has demonstrated. A shopper who consistently browses and buys at a higher price point sees premium options; a value-focused shopper sees items in their range.
• Product cluster matching: Pair the suggestion to the product type the shopper has shown affinity for. The demo example: show a frequent coffee buyer high-end barista equipment right as they reach for the search bar - before they type a single letter.
• Retail Media placements: Sponsored products are now eligible for the initial content slot, opening a new inventory position for retail media campaigns.

The configuration lives inside Hello Retail Search’s standard search configuration panel. Merchants add a new initial content block, select how many products to show, choose an algorithm (most bought, for example), and then apply filters - budget zone matches user bias, product cluster matches user bias. Save, and those personalized suggestions are live.

Why the placement earns its attention

Initial content occupies what any honest UX audit would call a prime spot. It lives inside the search bar overlay - a place shoppers actively choose to open. There is no banner blindness here. The shopper has made a gesture, and the overlay is the immediate response.

Baymard Institute’s ecommerce search research consistently documents that shoppers who engage with on-site search convert at meaningfully higher rates than those who browse. Personalizing the entry point of that search interaction - before any query has been formed - means the highest-intent visitors get a tailored experience from the very first product they see.

Salesforce’s State of the Connected Customer report puts a number on the expectation: 73% of customers expect companies to understand their unique needs. Showing the same best-sellers to every shopper who clicks the search bar leaves that expectation unmet. Advanced personalization in initial content is a direct answer to it.

Getting started

The update is available today to all Hello Retail customers who have Search active. Merchants who are not yet using initial content at all should treat it as a high-priority configuration task, given the revenue share the feature contributes across the platform.

The first configuration decision is which personalization logic to apply. Budget zone alignment and product cluster matching tend to produce the sharpest results in stores where a meaningful share of shoppers have enough behavioral history in the record - roughly, stores where returning visitors make up a significant portion of traffic. For newer stores or those with mostly first-time visitors, top-sellers with a trending filter remains a strong default while the behavioral data builds up.

Either way, the configuration takes minutes and requires no developer involvement. The full demo - including the live walkthrough of the search configuration panel - is covered in the Hello Retail Winter Release webinar, alongside the Search Word Boosting and Recommendations updates that shipped in the same release.