✦ Platform

Platform guides

How /tools works: Optimise feed enrichment, BidSmart bid recommendations, and CSS savings. Setup, workflows and troubleshooting.

Everything you need to get the most out of /tools. Start with the basics (connecting a store and running your first enrichment) then go deeper into how each module thinks about your product data.

If you're brand new, read What is /tools? first.

Getting started

Optimise

Guide

Change monitoring and disapproval prediction

How Optimise watches your feed around the clock, logs what changed and when, and predicts which products are at risk of disapproval before Google acts, so you fix the feed pre-emptively.

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Guide

Colour and size normalisation

How Optimise turns messy, inconsistent colour and size values into the consistent Google-friendly ones that win attribute-filtered searches, all in a supplemental layer, never overwriting your store.

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Guide

Custom labels in Optimise

What custom_label_0-4 are, how Optimise can populate them from margin, price and lifecycle signals, and how they feed campaign segmentation in Google Ads, written to a supplemental layer, not your store.

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Guide

Feed Health Score explained

What the /tools Feed Health Score measures, why feeds above 90 outperform, and exactly which product data problems drag your score down.

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Guide

Google Product Category mapping

Why a specific google_product_category beats a vague one, how depth affects which auctions you enter, and how it differs from product_type, with Optimise mapping every product without touching your store.

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Guide

GTIN enrichment with GTINNER

How GTINNER fills missing barcodes by matching your products against external databases only where a confident match exists, never inventing numbers, and flagging the rest for you.

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Guide

How enrichment works

The non-destructive model behind Optimise, how your source data flows into a supplemental enriched layer and out through a stable feed URL, and exactly what gets touched versus what never does.

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Guide

Product titles that win Shopping searches

How to structure Google Shopping titles, attribute ordering, keyword position, length limits and the common mistakes, and how Optimise rebuilds titles to that structure without touching your store.

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Reference

The 20 enriched fields

A reference to every product field Optimise can enrich, what each attribute is for, what Google expects in it, and where it affects your Shopping performance.

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Guide

Variant relationships and Variant Builder

How broken item_group_id fragments your Shopping performance, and how Variant Builder reconstructs the correct variant relationships at the feed layer without touching your Shopify data.

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BidSmart

How-to

Using the approval queue

A step-by-step guide to reviewing, batching, approving and rejecting queued BidSmart changes, reading the audit trail, and reverting an executed change to its previous state.

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Guide

Budget pacing signals

How BidSmart spots under-pacing, over-pacing and budget-capped Shopping campaigns before a throttled budget quietly costs you impressions and momentum.

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How-to

Connecting Google Ads

How to link your Google Ads account to BidSmart, exactly what access the connection grants, and why BidSmart stays read-only until you approve a change.

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Guide

How BidSmart works

The end-to-end BidSmart model, how it analyses your account product by product, proposes bid changes, queues them for your sign-off, and executes only what you approve, with a full before/after audit trail.

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Guide

Incubator campaigns

How BidSmart's incubator, a separate Maximise Clicks campaign, ramps new and thin-data products cheaply, and the criteria by which they graduate to your main tROAS campaign, always via your approval.

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Guide

Reading your bid recommendations

What each BidSmart recommendation shows, why it was proposed, how to judge whether to trust it, and how to action or dismiss it, all before anything executes against your ad account.

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Guide

Product-level tROAS analysis

How BidSmart works backwards from each product's history, price and margin to the target it can individually bear, and finds where one campaign-wide average is starving winners or overfeeding losers.

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CSS

Account & troubleshooting