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Attraqt integration for ecommerce search and discovery

Governed search index and merchandising rules live here Attraqt handles query relevance, faceting, merchandising boosts and zero-results recovery outside your commerce platform. You control ranking, suppress products, define synonyms and monitor search health without code. Works with Adobe Commerce, Magento Open Source, Shopify Plus, BigCommerce and other storefronts.

Also searched as: search integration, merchandising connector, app, extension.

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Talk to an expertSee the estate map ↓
Works with - Adobe Commerce · Magento Open Source · Shopify Plus · BigCommerce · Other storefronts
On this pageGet a brief reviewed
01 · What you get

What a Attraqt integration gives you.

Searchable catalogue without code

Your merchandising and marketing teams can tune synonyms, boosts, facets and zero-results handling in Attraqt without asking engineering to deploy code or restart the platform.

Search performance and observability

You gain visibility into query latency, hit rates, zero-results frequency and click conversion. You can set performance budgets and alert when search degrades or when a facet or synonym breaks.

Multi-channel search consistency

A single governed index and ruleset serve search across web storefronts, mobile apps and sales channels. Changes to ranking or faceting take effect everywhere simultaneously.

Reduced zero-results and search abandonment

Synonym dictionaries, redirects and intelligent fallback handling recover queries that would otherwise return no products. Analytics surface the keywords you are missing so you can react quickly.

02 · When it's worth it

Where a Attraqt integration earns its place.

If two or more of these are true, the integration usually pays for itself quickly.

Redirect misspelled or legacy search queries to current product categories
Tune ranking rules and facet hierarchies without code deployment
Suppress or promote products based on margin, stock or campaign priority
Publish synonym dictionaries to improve zero-results recovery
Monitor search performance and click-through behaviour to surface gaps
03 · The limits

Where off-the-shelf connectors fall short.

Vendor connectors are fine for simple cases. Here's where the real ones need more.

No native stock or pricing sync

Attraqt does not pull live stock or pricing data from your ERP or commerce platform. Stock and pricing must be included in the catalogue feed you send to Attraqt, and refreshed on a schedule that matches your price and availability update cycle.

Merchandising rules require manual configuration

Boost and suppression rules are built in Attraqt's console. There is no automatic rule generation from ERP margin data, campaign calendars or stock levels; merchandisers must define and maintain rules by hand.

Limited integration with OMS or returns workflows

Attraqt does not ingest order, return or RMA data. You must configure analytics to track search behaviour downstream of order completion; search cannot automatically suppress out-of-stock items or adjust ranking based on return rates.

No built-in multi-language index management

Multilingual catalogues require separate indices per language and manual configuration of language-specific synonyms and rules. Translation of merchandising copy is not handled by Attraqt.

Search index rebuild requires feed reprocessing

Major schema changes or facet restructuring often require a full re-index. During reindexing, the search platform may serve stale results or temporarily degrade performance depending on your fallback configuration.

04 · The real work

Search quality lives downstream of your catalogue feed and merchandise rules - small gaps in either place surface as zero-results or irrelevant ranking once shoppers start searching at volume.

05 · Where it sits

Where this integration sits in your estate.

Attraqt holds the commercial record. The iWeb integration layer manages the rules, mappings, monitoring and exceptions. The commerce platform presents the customer-facing experience. The estate map helps agree ownership before anything is built.

Storefront independent. Attraqt feeds stock, pricing, orders and customer data into your chosen platform.

System of record
Source / owner
Attraqt
Search index and merchandising governance outside the ecommerce platform
  • Query indexing and relevance
  • Facet hierarchy and configuration
  • Ranking rule application
  • Synonym and redirect dictionary
  • Search performance and query serving
iWeb integration layer
Customer-facing commerce
Commerce platform
Adobe CommerceMagento Open SourceShopify PlusBigCommerceOther storefronts
  • Storefront search UI and display
  • Shopper interaction and click tracking
  • Fallback search behaviour when Attraqt is unavailable
  • Result caching and performance optimisation
Connected neighbours
Integration layer
PIM or content system
Source of product names, attributes, descriptions and categories for the index
Integration layer
ERP
Source of stock, pricing and margin data if included in the catalogue feed
Integration layer
BI and analytics
Consumer of search queries and click events for analysis and trending
Integration layer
Commerce platform
Caller of Attraqt's search API and handler of result display and fallback
Integration layer
Campaign or merchandising system
Source of boosts and seasonal suppression rules if triggered by external events
Two-way sync where relevant
06 · Surrounding systems

Systems this integration usually sits next to.

Examples, not a closed list. iWeb is platform-agnostic on both sides: we wire this integration into whatever ecommerce platform and surrounding systems your estate already runs.

Ecommerce platforms (examples)
  • Adobe Commerce
  • Magento Open Source
  • Shopify Plus
  • BigCommerce
  • Other storefronts
Surrounding systems (examples)
  • Product Information Management (PIM)
  • Enterprise Resource Planning (ERP)
  • Order Management System (OMS)
  • Business Intelligence and analytics
  • Content Management System (CMS)
  • Ecommerce platform
  • Customer Data Platform (CDP)
Not sure?

Not sure if this works with your stack?

Tell us what you’re using and what needs to connect. We’ll give you a straight view on what’s possible, what might be awkward, and the safest way to approach it.

07 · Data flows

The data flows we wire.

Each flow has a direction and an owner. We agree both before a line of code is written.

→Into ATTRAQT
↔OUT OF ATTRAQT
Catalogue feed and attributes: Product names, descriptions, attributes, categories and relationships flow from your PIM or commerce platform into Attraqt's indexing pipeline
Attribute changes and new products are indexed to keep the search catalogue current and facetable.
Behavioural signals and clicks: Search queries, clicks, cart conversions and browse events are captured on your storefront and sent to Attraqt for analysis
These signals inform ranking tuning and zero-results handling.
Ranked search results: When a shopper searches, the storefront requests results from Attraqt's index
Attraqt applies ranking rules, applies merchandising boosts and returns a scored product set for display.
Merchandising rule changes: Business teams configure boosts, promotions, suppression rules and synonyms in Attraqt
These rules are published and take effect in live search without re-indexing.
Search analytics and dashboards: Query volume, click metrics, zero-results rate and conversion signals flow back to your analytics and BI systems, exposing search health and opportunities for tuning.
08 · How we build it

How iWeb configures the integration around your business.

Same method on every integration. The decisions come before the code.

  1. 01
    Index design and attribute mapping

    We work with your product and merchandising teams to define which attributes are searchable, facetable and rankable. We build the extract and transform logic that moves your catalogue data cleanly into Attraqt.

  2. 02
    Feed automation and scheduling

    We set up scheduled catalogue feeds from your PIM or commerce platform into Attraqt, with monitoring and alerting for missing products, attribute gaps and schema drift.

  3. 03
    Merchandising rule framework

    We design rule templates for boosts, suppression, campaign timing and channel-specific merchandising. We train your team to maintain rules in Attraqt and build automation where rule changes can be triggered by campaign or inventory events.

  4. 04
    Search observability and alerting

    We integrate Attraqt query metrics, index health and analytics into your monitoring dashboard. We define alerting thresholds for stale indices, slow queries, zero-results spikes and facet breakage.

  5. 05
    Fallback and disaster recovery

    We architect your storefront to handle Attraqt downtime gracefully, whether by querying a secondary index, falling back to simple keyword matching or displaying a cached result set until Attraqt recovers.

09 · Ownership

Who owns what.

The single most important table in any integration. One system owns each field; everything else reads it.

Data
Source / owner
Maintained by
Notes
DataCatalogue index source and schema
Source / ownerAttraqt
Maintained byProduct and data engineering
NotesAttraqt owns the index build and query serving; catalogue source data must be extracted from PIM or commerce and delivered to Attraqt on schedule.
DataFacet configuration and hierarchy
Source / ownerAttraqt
Maintained byMerchandising and product teams
NotesFacet structure is defined in Attraqt; it must align with product attribute data coming from the catalogue feed to avoid broken or empty facets.
DataSynonym and redirect dictionary
Source / ownerAttraqt
Maintained byMerchandising and customer service
NotesSynonyms and redirects live in Attraqt; they are deployed without re-indexing and take effect immediately on live search.
DataMerchandising boosts and suppression rules
Source / ownerAttraqt
Maintained byMerchandising and commerce strategy
NotesRules are configured in Attraqt and applied at query time; they must be monitored and reviewed weekly to ensure alignment with current campaigns and stock.
DataSearch query and click analytics
Source / ownerAttraqt and BI warehouse
Maintained byAnalytics and search governance
NotesRaw events are captured by Attraqt; they are typically exported to your BI platform for trending, zero-results analysis and decision-making.
DataIntegration transport and exception handling
Source / owneriWeb integration layer
Maintained byData engineering and support
NotesFailed feeds, schema mismatches and stale indices are trapped and escalated; ownership of resolution depends on whether the cause is upstream (PIM), the feed, or Attraqt itself.
10 · Experienced integrator

Built search integrations before

iWeb has built and operated search platform integrations across retail, food service and manufacturing estates. We understand how Attraqt sits between your catalogue, your storefronts and your merchandising team, and how to keep the index fresh, relevant and governed as your business grows.

We design catalogue extract and index schema mapping so that your product data model translates cleanly into searchable and facetable attributes in Attraqt
We build feed automation, scheduling and monitoring so index freshness stays reliable and catalogue changes propagate without manual intervention
We architect search observability and alerting around index health, query performance and zero-results patterns so you know when merchandising or indexing has drifted
We configure fallback search behaviour so your storefront does not fail when Attraqt is unavailable or slow, protecting checkout and conversion during platform incidents
11 · Before launch

What we test before launch.

Every one of these is rehearsed before a customer ever sees the integration.

Verify that all product attributes required for faceting and ranking are present in the Attraqt index and mapped correctly from the source feed.
Test common zero-results queries and confirm that synonyms or redirects recover them without showing irrelevant products.
Run facet parity checks to confirm that facet values match available product attribute values and no facets return empty result sets.
Measure search latency under peak query load and confirm response time stays within performance budget; test fallback if Attraqt exceeds latency threshold.
Validate that merchandising boosts and suppression rules take effect immediately after deployment and correctly rank or hide target products.
Simulate catalogue feed failure and confirm that search gracefully degrades or serves cached results instead of returning errors to shoppers.
Verify that index rebuild completes without stale results being served and that zero-results rate does not spike after re-index publication.
12 · Failure points

Common risks and where they bite.

We name these on day one. A risk written down is a risk you can plan around.

Stale index blocking search availability

If your catalogue feed fails to run or Attraqt's index build fails silently, the search index becomes outdated. Shoppers see discontinued products, miss new stock, and search-dependent conversion falls. Early detection requires monitoring feed success and index freshness metrics.

Merchandising rule drift across channels

If boosts and suppression rules are configured per-channel but not synchronised, some storefronts will show different ranking and promotions. Team communication and a single rule source-of-truth are essential to avoid customer confusion.

Zero-results regressions on facet or schema changes

When a facet is renamed, removed or restructured, queries relying on that facet may return no results. Testing zero-results queries and common facet combinations before going live prevents this from reaching customers.

Unowned merchandising logic

If no one is assigned ownership of boosts, suppression and synonym updates, rules drift out of sync with campaigns and season. Without a governance process, merchandisers make conflicting changes or forget to expire seasonal rules.

Search performance degradation under load

If query volume spikes or the index grows significantly, Attraqt's response time may increase. Without baseline performance budgets and monitoring, slow search can degrade conversion before anyone notices.

13 · Where it applies

Relevant services and sectors.

14 · Questions

Common questions about Attraqt integrations.

How often does the catalogue index need to refresh?

That depends on your business cycle. High-volume retailers typically run a full catalogue feed every 4-24 hours and delta feeds every 15-60 minutes for stock and price changes. We design the feed schedule to balance freshness against API rate limits and processing cost.

Can Attraqt automatically suppress out-of-stock items?

Only if stock is included in your catalogue feed to Attraqt. Attraqt does not poll your ERP or OMS directly. Stock data must be extracted and pushed into the feed; we typically refresh stock flags every 15-30 minutes to keep the search index aligned with availability.

Who owns the merchandising rules - commerce team or search team?

That is a business decision. Typically merchandising or commerce strategy defines the rules (boosts, suppression, campaign timing), and a search or data team monitors them for drift and performance impact. We recommend assigning a single owner per rule category and a weekly review cadence.

What happens if Attraqt goes down - does search stop working?

It depends on your fallback architecture. We can configure your storefront to fall back to a secondary search method (basic keyword matching, cached results, or a read-only replica index) while Attraqt recovers. Without fallback, search is unavailable until Attraqt returns.

How do we handle multi-language catalogues?

Attraqt requires separate indices per language. We build language-specific feeds from your PIM, configure language-specific facets and synonyms in each index, and route queries to the correct language index based on the shopper's locale.

Can we A-B test ranking rules or facet changes?

Attraqt does not have native A-B testing. We typically export query and click data to your BI platform or use a feature-flag service to route a percentage of traffic to a secondary index with different rules. Changes are then measured against the baseline cohort.

What data is captured for search analytics?

Attraqt captures queries, clicks, conversions and session data. We integrate these events into your BI warehouse so you can analyse zero-results queries, identify missing synonyms, track facet usage and measure search contribution to revenue.

How do we update synonyms or redirects without downtime?

Synonym and redirect changes are deployed instantly in Attraqt without re-indexing. They take effect on the next query. We recommend testing changes in a staging index first and monitoring zero-results and click metrics after deployment.

Can Attraqt serve search across multiple storefronts?

Yes. A single Attraqt instance and index can serve search to multiple commerce platforms or sales channels. We configure channel-specific boosts and facets if needed, so that ranking reflects each channel's priorities.

What is the impact of adding new attributes or facets to the index?

New attributes require a re-index. Depending on your catalogue size and Attraqt's configuration, this can take minutes to hours. We monitor re-index progress and configure fallback so search remains available using the previous index version until the new index is ready.

How do we handle zero-results queries?

Attraqt provides redirect rules, synonym matching and fuzzy matching to recover common zero-results cases. We analyse zero-results queries from your search logs to identify missing synonyms and priority products to boost. High-volume zero-results patterns are escalated for merchandising action.

Can search ranking be influenced by margin or profit data from the ERP?

Not automatically. Attraqt does not connect to your ERP. Margin or margin-based boosts must be included in your catalogue feed as attributes or metadata, then configured as ranking factors in Attraqt. We recommend refreshing margin data daily or weekly depending on your pricing strategy.

Who monitors search performance and alerting?

We recommend a shared model: your search or data team owns the Attraqt configuration and index health; your commerce operations team owns the storefront-side fallback and customer-facing search UX. We set up alerting so both teams see index staleness, slow query spikes and zero-results regressions.

What happens if the catalogue feed schema changes?

Schema drift can break attribute mapping or faceting. We monitor feed validation and alert on missing or renamed fields. Index rebuilds may be required if attributes are added or removed. We test schema changes in staging before rolling out to live.

Next step

Have a Attraqt integration brief?

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