Crescentek

Product Catalogue Setup

From spreadsheet chaos to catalogue that converts.

Product data cleanup, structure, and content for Irish e-commerce. Deduplicate, standardise, write proper descriptions, organise variants — the unglamorous work that makes search, sales, and reporting actually work.

Based in Ireland
GDPR compliant
Reply within 1 working day
catalogue.crescentek.ie · SKU cleanup
3 duplicate entries detected
Processing
Current state — messy
SKUNamePriceImageStatus
blue-shirt-01blue shirt lrg€24?draft
BlueShirt2blue shirt large - new24 EURshirt.jpgpublished
bs-lgBlue Shrit Large€24.00IMG_2847.jpgactive
SKU collision · inconsistent naming · 1 missing image · 3 different price formats
Where catalogues rot

Four problems that quietly kill sales.

Every Irish e-commerce store we audit has at least two of these. None of them are dramatic — all of them cost money, every single day.

Duplicate SKUs across systems

Same product listed three times with different names. Stock on two of them is wrong. Reports are lies.

Missing or low-quality images

Phone-camera shots in the warehouse. Different backgrounds. Inconsistent sizing. Your store looks amateur, and it sells like it.

Descriptions written in panic

A line and a half of text per product, written in 2019 when someone had to add 200 at once. Bad for SEO, bad for conversion.

Variants and options a mess

Size 'L' on some, 'Large' on others. Red, Cherry, Crimson — all the same colour in customer eyes. Searchability destroyed.

Three areas of work

Data, content, imagery — all three make a catalogue work.

Cleaning the data alone isn't enough if descriptions and photos are still a mess. Fixing photos doesn't help if the variants are a tangle. All three, together.

Data cleanup & structure

From spreadsheet chaos to clean schema

Duplicate detection & merging
SKU standardisation & hierarchy
Variant and option normalisation
Category & taxonomy mapping
Data validation rules
Content & copy

Product pages that convert

SEO-focused product descriptions
Bullet-point benefit writing
Technical spec standardisation
Cross-sell & upsell copy
Multi-language (EN-IE, EN-UK, etc.)
Imagery & media

Consistent, compelling visuals

Image standardisation & cropping
Background removal & white-space
Multiple angles per product
Lifestyle & context imagery
Video & 360° where needed
What you get back

The boring work that earns real numbers.

Typical gains Irish SMB e-commerce stores see from proper catalogue cleanup. No magic — just clean data doing its job.

+42%
Search visibility

SEO improvements from proper taxonomy + descriptions

+18%
Conversion rate

Clean product pages convert better than messy ones

-70%
Time saved

On manual product admin per week

-90%
Fewer oversells

From accurate, deduplicated SKU data

Is it a fit?

Clean catalogue data is unglamorous work that quietly earns.

Nobody brags about it at conferences. But clean SKU data makes everything downstream — search, marketplaces, ads, reports — actually work.

Right fit
We should talk if…
You have 50+ SKUs where data quality is costing you sales
You're moving platforms and bringing 'everything'
You're expanding to marketplaces and need consistent data
Your team spends hours on manual product admin
You care about search visibility and on-site conversion
Not a fit
We'll point you elsewhere if…
You have fewer than 20 products — manual cleanup is faster
You've not yet picked a platform — pick first, clean after
You expect us to photograph all your products (different service)
You want 'just copy what's on the website' — that misses the point
Tech we build with

Clean your catalogue on the platform you already use — or prep it for the one you're moving to.

Shopify
WooCommerce
Magento
BigCommerce
Custom headless commerce
PIM tools (Akeneo, Plytix)
Airtable / Notion for maintenance
Google Merchant Center
What we typically clean

Common catalogue scenarios.

The messy data situations we most often help Irish SMBs untangle.

Multi-hundred SKU cleanups
Platform migration prep
Post-merger catalogue consolidation
Marketplace expansion prep
PIM setup & implementation
Ongoing catalogue maintenance
New product range launches
Legacy system data rescue
Common questions

Catalogue questions, honestly answered.

The questions Irish SMBs ask us most often.

Technical match (same SKU, same GTIN/barcode) is obvious. The harder ones are 'probable duplicates' — slightly different names or variants that should actually be one product with options. We build deduplication rules with your team and review edge cases manually. Nothing gets merged without sign-off.
Yes. Conversion copywriting for products is a big part of what we do — bullet points, SEO-friendly descriptions, benefit-focused copy. We'll interview your team on typical customer questions, then write descriptions that answer them. You review and edit before anything goes live.
Then we approach it systematically. We'll categorise first, clean high-priority/high-volume SKUs first, automate what can be automated, and work through the long tail in priority order. Full cleanup of a 2k+ catalogue typically takes 3-6 months. We're honest about the scope — this isn't quick work.
We can, but we'll push back. Importing dirty data into a new system just spreads the dirt faster. The cleanup is where the real value is. We'll honestly tell you when quick migration is fine and when cleanup needs to happen first — usually cleanup first saves money over time.
Image standardisation, yes — cropping, background removal, resizing, consistency. Original photography, no — that's a separate creative service best done by a product photographer. We can recommend one if needed.
Yes. We document the taxonomy, naming conventions, image standards, and descriptions in a product-data handbook. Your team can maintain it going forward. We can also stay on via a retainer for ongoing new-product additions — your call.

Product data a mess?

Free 30-minute audit call. Share a sample of your catalogue — we'll show you honestly what's worth cleaning, and what the effort will return.

Reply within 1 working day GDPR compliant Based in Ireland