Ecommerce media
Catalogue ads aimed at profitable volume, not merely cheaper purchases.
Feed quality, prospecting, retargeting and purchase measurement are built as one system so Meta can find products people will buy without hiding margin problems.
What the account is really selling
Ecommerce on Meta is a feed problem before it is a bid problem.
Broken titles, missing identifiers and a single Advantage campaign will still spend. They will not tell you which products deserve budget. Pixoflix treats Meta Ecommerce Ads as catalogue hygiene, a prospecting versus retargeting split, product-led creative and purchase events that can be reconciled with the store. Cheaper checkouts are not treated as a win if they erase margin.
Typical constraints
The catalogue is live. The signal is not.
- Product titles, images or availability in the feed do not match the store.
- Prospecting and retargeting share one campaign, so Meta keeps remarketing the same buyers.
- Purchase events fire twice, fire late, or miss high-value orders.
- Creative is a catalogue dump with no offer, no proof and no seasonal angle.
- Revenue looks healthy in Ads Manager and weaker once discounts, returns and contribution are applied.
When this is useful
Meta Ecommerce Ads fits stores that already have a catalogue and a fulfilment path.
- WooCommerce or another storefront is live and Meta is buying traffic without a feed discipline.
- You need Meta beside Google Shopping, not as a copy of it.
- Retargeting is doing all the work and prospecting has never been given a real test.
- Purchase numbers in Meta and the store do not agree.
- The catalogue is wide and Meta keeps pushing the same discounted SKUs.
What you receive
A product acquisition system Meta can actually optimise.
The work covers the feed, the campaign split and the events. Media cannot outperform a catalogue it cannot trust.
01
Catalogue and feed review
Titles, identifiers, availability, price and image quality are checked against what the storefront actually sells.
02
Prospecting and retargeting split
New demand and returning visitors sit in separate structures with exclusions so buyers are not endlessly resold the same SKU.
03
Product-led creative
Collection, lifestyle and offer variants sit beside catalog ads, so the account is not dependent on a feed thumbnail alone.
04
Purchase measurement
Pixel and CAPI purchase events are named, valued and checked against store orders, with known gaps written down.
05
Margin-aware reading
Reviews look at product mix, discounting and contribution, not only at advertised ROAS in the platform.
How the work is sequenced
Clean the feed, then decide what Meta is allowed to learn.
We do not scale a catalogue we cannot trust. Feed, events and campaign jobs are made readable before budget is added.
01
Audit the catalogue against the store
Mismatched SKUs, stale availability and weak titles are listed before any creative is produced.
02
Separate new demand from returning demand
Prospecting and retargeting get different jobs, windows and exclusions so Meta is not congratulated for remarketing yesterday's buyers.
03
Brief product and offer creative
Hero products, bundles and proof-led ads are specified so the feed is not the only asset in the account.
04
Instrument purchase events
Value, currency, content IDs and server-side backup are checked so optimisation is not guessing.
05
Read mix and margin
Which products Meta prefers is compared with what you actually want to sell, including discount and return pressure.
06
Adjust windows and suppressions
Buyers, recent viewers and low-margin SKUs are handled with rules, not with another broad Advantage campaign.
What good looks like
A useful ecommerce account can explain which products earned the spend.
A catalogue media can trust
Titles, IDs and availability match the store closely enough that product ads are not selling ghosts.
Clearer prospecting versus retargeting
New demand has a job. Returning visitors have a different message and a shorter leash.
Purchase data with known limits
Orders can be compared with store records. Gaps are named instead of hidden behind a platform ROAS.
Related work
Ecommerce media programmes will be listed when they can be shown.
Store-level results are published only with permission and with the measurement caveats attached. The Work index is the current public record.
Published case studies will appear here when they are cleared.
Related services
Work that usually sits beside this.
Questions
Buying questions, answered directly.
For shopping and collection ads, yes. You can still run traffic or conversion campaigns without a feed, but catalogue ads need clean product data. We will say which model fits the store.
Next move
If purchases look cheap and margins look worse, read the catalogue.
Share the feed, the last 90 days of Meta ecommerce spend and a store export. We will say whether the constraint is the catalogue, the split or the events.