€40,000 in Meta spend. Burning, until Adverfly found it. 🔍
Blume Ideal2026- Customer
- Industry
- Flowers · D2C
- Peaks
- Mother's Day, Valentine's
There is no tool we have had for as long as this one.
This is the shop. 💐
Roses at a deal price, delivered on the day you pick. Flowers can always be given, so the shop runs all year, and on a few days a year, Valentine's and Mother's Day, a large part of that year is decided. On those days every campaign counts the day it runs, not in the review afterwards.
And if someone deserves flowers right now, this way: send flowers now
Every platform reported a good season. 🤔
Flowers sell all year, but a few days carry the year. Mother's Day cannot be repeated in June, and budget that ran into the wrong campaign that week is gone for the year.
- Standard tools came and wentBlume Ideal tried several general analytics tools. Each promised the full picture, none fit the business, and none stayed in use long enough for its numbers to be trusted.
- Meta reported, the shop did notEverything looked good in the ad account. The matching sales were missing from the shop measurement.
- In a peak week there is no time to checkBudget decisions are made daily, on whatever number is on the screen.
One number that holds. 🧮
Measured in the shop, not in the ad account. From there the gap was not a matter of opinion any more.
Tracking
The shop counts, not the platform
- Every order is measured in the shop itself.
- One model every channel is measured by.
The season
Daily, not afterwards
- Every morning one page shows what yesterday did.
- A channel that stops reporting is flagged before the numbers tilt.
€40,000 nobody had seen before. 🔍
The €40,000 is Blume Ideal's own figure, from their ad account, in the first month of using Adverfly.
A blind spot in the budget
Campaigns reporting success in the ad account, with no revenue showing up in the shop measurement. It took a month to see it, and an afternoon to make the call once both sets of figures were in the same table.
The tool that stayed
By their own account, no software has been in use at Blume Ideal for as long as this one. Today all of their marketing is steered on Adverfly's numbers.
In the peak week the day is the unit
The week is over before a weekly report would be finished. So budget moves on the same day, on that day's numbers, and the hour counts too, because flowers get ordered shortly before the occasion.
The next season on the same foundation. 🌱
Adverfly's AI infrastructure is ready 🧠 Is your brand? 🚀
The way there runs on Adverfly's AI infrastructure: set the goal, check the proposals, approve, let the platform do it.
72 apps on one data foundation · 57 integrations
Capability by capability — what's integrated here, and what you'd otherwise buy separately.
Capability
Adverfly
All in one platform
3,600 €/ month · 1 invoice
All apps work togetherOther tools
Separate & additional cost
~20,900 €/ month · 18 tools + 1 role
Each tool works on its ownBuilt-in
Mixpanel, Hotjar · separate
Built-in
Google Analytics, Plausible
Built-in
Funnel.io, Supermetrics
Built-in
Native per tool · separate
Built-in
Sprout Social, Buffer
Built-in
Ahrefs, Semrush
Built-in
Typeform, SurveyMonkey
Built-in
Trustpilot, Yotpo Reviews · separate
Built-in
Brand24, Mentionlytics
Built-in
Manual integration into BI
Built-in
Notion + manual sync
Built-in
Klaviyo Lists, RudderStack
Built-in
Manual tagging in DAM
Built-in
Manual analysis in spreadsheets
Built-in
Manual creative reviews
Built-in
Looker, Tableau · per seat
Built-in
Motion, Atria · separate
Built-in
Heap, Amplitude
Built-in
Manual cohort analysis in BI
Built-in
Custom dashboards
Built-in
Looker, Tableau · per seat
Built-in
Hotjar, Microsoft Clarity
Built-in
FullStory, LogRocket
Built-in
Manual P&L in Excel + BI
Built-in
Triple Whale, Northbeam
Built-in
Consulting
Built-in
Custom statistician
Built-in
Manual stats in R/Python
Built-in
ChatGPT, Claude · manual prompting
Built-in
Custom-built chatbot per workspace
Built-in
Excel + consultant
Built-in
Yotpo, Smile.io
Built-in
Privy, Justuno
Built-in
Midjourney, Runway
Built-in
Stape, Funnel
Built-in
Zapier, Make
Built-in
Build it yourself · eng team needed
Built-in
Modash, Aspire
Built-in
Aspire, GRIN
Built-in
WordPress, Webflow + manual tracking integration
Built-in
Frontify, Brandfolder
Built-in
Custom alerting + event tracking
Built-in
Funnel, Supermetrics
Built-in
Manual in spreadsheets
Total / month
3,600 €saves 17,300 €
~20,900 €
Illustrative for one brand at 10 Mio. € annual revenue. Adverfly: Managed Infrastructure, billed yearly — flat price, no revenue share. The comparison uses list prices of the tiers such a brand lands on, or typical retainers, rounded, plus half an engineering role for pipelines and upkeep — that work is priced in on the Adverfly side. Vendors named in the rows illustrate the capability; the total is not a price quote for any single product. As of September 2026.
What actually changed. ✨
| Area | Before | After | With |
|---|---|---|---|
| Measurement | Everything looked good in the ad account. The matching sales were missing from the shop measurement. | Measured in the shop itself, so only what was really ordered gets counted. | |
| Attribution | Every platform reported a good season, and none of them said which part of it was actually theirs. | Every channel is counted by the same rules, and the whole season is steered on that. | |
| Peak week | In the peak week, budget that went into the wrong campaign was lost for the whole year. | Every morning one page shows what yesterday did, so the budget can still be moved while the week is running. | |
| What decisions run on | Budget was decided daily, on whichever number happened to be on screen. | The daily figures arrive on their own, and if data stops coming in, the system says so before anyone decides on it. |
Become the market leader in your niche, on Adverfly's AI infrastructure. 🚀
In 30 minutes we show you what is hiding in your data: on your channels, not on a demo account.
Read next
AYLASHESOne of the first brands to bet on real omni-channel tracking instead of platform self-reporting, with creators measured the same way as every paid channel.
Medizen DigitalMedizen sells course places, not products, on a platform it built itself. An off-the-shelf shop plugin was not going to do the job. So the tracking was tailored to their platform, rather than working around it.
NeosuppsSupplements are bought again. Neosupps counts a customer over twelve months instead of an order at checkout, and steers the ads on that.
SmilodoxSmilodox came for one thing: numbers they could rely on. Five channels, creators and organic now run on one measure, and the creative analysis reads what is in an ad instead of only what it is called.
glouragloura tracked its creators with discount codes alone. The numbers were wrong in both directions until link and code were counted together.
Written by Ezhan Atak · Founder, Adverfly
Published: Updated: