ALGOLIA INTEGRATION

Algolia integration
results as the visitor types,
ranked the way the business sells.

We connect websites and online stores to Algolia so products, articles and resources are indexed as they change, returned as the visitor types and ranked the way the business wants to sell, with results that respect customer pricing and stock. We plan the data that should be searchable, build the connection on the platform the website already runs on and keep it running once it is live.

In brief

Emote Digital is a digital agency in Hawthorn, Melbourne, founded in 2001. We connect websites and eCommerce stores to Algolia, the hosted search and discovery platform, so products, content and resources are indexed as they change and returned as the visitor types, with facets, ranking rules and merchandising shaped to the business. Connections are built on the platform the website already runs on. Algolia search appears in the Drillcut, Domus Lighting and Bromic case studies on this website.

The integration

Search that finds the right product, fast.

Algolia suits websites with deep catalogues, technical products or large resource libraries, where native search is slow or returns the wrong things first.

01

What is indexed

Products and variants with their attributes, pricing and stock, categories and brands, articles, guides, downloads and support content, each pushed to Algolia as it changes so results are never stale. Each record has an agreed owner.

02

Ranked the way you sell

Searchable attributes, synonyms, typo tolerance, facets and custom ranking are configured around how customers describe products and how the business wants to prioritise them, with merchandising rules for campaigns and seasons.

03

Built on your platform

The connection is built on the platform the website already runs on, using the Algolia extension for the platform where one fits and custom indexing and front end components where pricing, visibility or content needs more.

What we do

Algolia search scoping, build and support.

A connected set of decisions, shaped around how customers look for things and what the business wants found first.

01

Search scoping

Map the records that should be searchable, the attributes customers search by, the facets that matter and how results should be ranked.

02

Indexing and sync

Push products, content and resources to Algolia as they change, with stock and pricing kept current and customer specific visibility respected.

03

Relevance and ranking

Configure searchable attributes, synonyms, typo tolerance, custom ranking and merchandising rules, and review them against real queries.

04

Search experience

Build the search box, instant results, results page, facets and no results handling so the experience fits the website and works on phones.

05

Testing and tuning

Test against real search logs and catalogue edge cases and tune ranking before launch.

06

Monitoring and support

Watch indexing failures, operations usage and the analytics, and keep the search working through catalogue, theme and platform updates.

Buyer context

Why businesses connect Algolia to the website.

A Algolia integration has to suit the people, systems and operating conditions around it.

Results as the visitor typesRight product firstFacets that match the catalogueTypos and synonyms handledContent and products in one searchSearch analytics that guide the range

Algolia projects vary in catalogue size, how pricing and visibility are personalised and how much merchandising the business wants to control. We help determine where the platform extension is enough and where custom indexing and components earn their place.

Keep the catalogue on the website. Keep the finding in Algolia.

The value of an Algolia integration is not in indexing every field. We define the attributes customers search and filter by, index them cleanly and as they change, and leave the website to sell and Algolia to find.

Takeover and improvement

Already running Algolia?

We can assess the current indexing, relevance settings, facets and front end, where results go wrong, how stock and pricing are kept current and what the search analytics show. We can help identify what is working, what is sending customers to no results and which changes deserve priority.

Relevance reviewIndexing failure diagnosisSynonym and typo tuningFacet and filter reviewMerchandising rulesNo results handling

Talk to us

Adding Algolia? Talk it through with us.

Thirty minutes on the catalogue, the queries and what it would take to connect or fix the search.

Approach

Six steps from understanding to improvement.

Formal Discovery may be appropriate for very large catalogues, customer specific pricing and visibility, several storefronts or languages or a search that also covers a PIM or knowledge base.

01

Understand

Establish how customers search today, what the search logs and no results reports show, how the catalogue and content are structured and which systems own pricing, stock and visibility. Any existing search is reviewed so its gaps are understood first.

02

Plan

Define the indices, records and attributes, the facets and ranking, the sync approach for stock and pricing, the personalisation rules and the metrics that will show the search is working. Extension or custom build is agreed first.

03

Design

Design the search box, instant results, results page, facets and no results experience so finding things is fast on every device and merchandising has somewhere to act.

04

Develop and connect

Configure the extension or build the indexing pipeline and front end components, including incremental updates, queuing and retries within operations limits. Settings and rules are documented so the search remains easy to support.

05

Test and tune

Run real queries from the logs, catalogue edge cases and stock and pricing changes end to end, tuning relevance, synonyms and rules before the search goes live.

06

Support and improve

Monitor indexing, usage and the search analytics after launch and keep the search working through catalogue, theme and platform updates. Improvements follow what customers actually type.

Questions

Algolia search questions, answered.

Products and variants with attributes, pricing, stock, categories and brands, plus articles, guides, downloads and support content. Which records and attributes are indexed is agreed in scoping.

Changes are pushed to Algolia as they happen or on a short schedule, and customer specific pricing or visibility is applied through secured keys or filters so each visitor sees what they are entitled to.

Yes. Custom ranking, merchandising rules and pinned results let the business promote ranges, seasons and margins, with the analytics showing the effect.

We are platform agnostic. The connection is built on whatever the website already runs on, using the platform extension where it fits and building custom indexing and components where it does not.

Yes. Products, articles, guides and support content can sit in separate indices and be shown together in one results experience, as the Bromic websites do.

Yes. We review the indexing, relevance settings, facets and front end, fix what is sending customers to the wrong results or to no results and rebuild the parts that cannot meet the way the business sells.

Start a conversation

Talk to us about your Algolia search.

Adding search to a new website, fixing results that keep missing or extending Algolia on a website that already runs the business?

Book a meeting

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