Aida Corporation

Aida Corporation Transforming digital strategy with data and intelligence.

We help organizations harness AI, analytics, and precision targeting to drive awareness, engagement, and measurable growth.

28/09/2026

If your social media manager thinks 'we're back on schedule now' is enough, here's what recovery actually looks like.
Two weeks ago, we showed you our own -87% drop. Here's what happened after we fixed it: views went from 170 to 304 (+79%), interactions from 13 to 23 (+77%), profile visits from 17 to 26.
We didn't change the topic. We just showed up on schedule.
Here's The Recovery Math, if you're pulling yourself out of a similar dip:
1. Pull views and interactions for the 30 days after a fix, compared to the 30 days during the gap.
2. Calculate the percentage change, not just the raw numbers.
3. Isolate what changed — if you fix two things at once, you won't know which one worked.
Save this. Use it after your own next gap.
Comment AUDIT if you want us to look at your own account. Free.
Follow Aida Corporation — three reels a week, every week.

26/09/2026

If your returns team processes every refund the same way, 9% of them are probably fraud.
Most returns are genuine. The ones that aren't follow a pattern. 9% of all returns are fraudulent, costing retailers an estimated $76.5 billion in 2025. Overstated quantity claims, empty-box returns, and counterfeit swaps are all rising.
It doesn't show up as fraud. It shows up as 'customer service.'
Here's The Return Fraud Check — run it this week:
1. Pull your last 90 days of returns. Flag repeat customers with above-average return frequency or value.
2. Spot-check package weight against expected item weight on high-value returns.
3. Apply the 9% industry baseline to your own volume and compare it to what you're actually catching.
Save this. Pull the report this week.
DM us AUDIT — we'll run the full check on your returns data. Free.
Follow Aida Corporation — The Leak Series · New episode Friday.

23/09/2026

If your growth lead trusts the last-click attribution number, they're funding the wrong channels.
Last-click gives 100% of the credit to whichever ad happened last. Last-click overstates paid search by 40-65% while understating content marketing by 150-300%. Companies that switch to data-driven attribution often find branded search generating 40-60% less incremental revenue than its claimed number — and SEO generating 2-3x more pipeline than it was ever credited for.
It doesn't show up as a bias. It shows up as 'our best channel.'
Here's The Attribution Bias Check — run it this week:
1. Pull your last-click channel report, then run the same period through a data-driven or multi-touch model. Compare the splits.
2. Flag any channel with a 20+ point swing between models.
3. For your top 'last-click winner,' ask: does it create demand, or just capture demand that already existed?
Save this. Run check 01 this week.
DM us AUDIT — we'll run the full check on your channel data. Free.
Follow Aida Corporation — The Leak Series · New episode Wednesday.

21/09/2026

If your social media manager thinks skipping a week of posting is harmless, look at what happened to ours.
Two weeks ago, we missed our posting schedule. So we ran our own audit on what it cost: views dropped from 1,346 to 170 (-87%), interactions from 118 to 13, and our Stories — usually our best-performing format per view — went almost silent.
It wasn't one bad post. It was two missed weeks, and the algorithm kept weighing that gap longer than the gap itself lasted.
It doesn't show up as a missed post. It shows up as 'nobody's watching anymore.'
Here's The Consistency Check, if you want to run it on your own account:
1. Pull your own views and interactions for the 30 days before and after any posting gap.
2. Check your Stories separately — a quiet week often kills story engagement first.
3. If a gap is coming, post something honest about it instead of going fully dark.
Save this. Check your own numbers this week.

18/09/2026

If your fleet manager treats detention time as unavoidable, it's costing more than they think.
Every fleet has a 'free time' window. Most trucks blow past it, unpaid. Drivers are detained beyond that window at 39.3% of all stops. 94.5% of fleets charge detention fees — but fewer than half of those invoices ever get paid.
It doesn't show up as unpaid revenue. It shows up as 'the driver ran late.'
Here's The Detention Time Check — run it this week:
1. Pull GPS dock-arrival and departure times for last week's stops. Compare against your free-time window.
2. Cross-reference against invoices actually filed. That gap is money left unclaimed.
3. Set a rule: any stop over the window auto-flags for invoicing before the load closes.
Save this. Pull last week's log today.
DM us AUDIT — we'll run the full check on your GPS and invoice data. Free.
Follow Aida Corporation — The Leak Series · New episode Friday.

15/09/2026

If your PPC manager reports a clean click-through rate, ask where the clicks actually came from.
Not every click is spread evenly. Most of the waste hides in a few expensive terms. Most local businesses waste 30-50% of their ad budget on clicks that never convert. Across a 32-account study, the top 10% most expensive zero-conversion search terms held a median 48.8% of all wasted spend.
It doesn't show up as a mistake. It shows up as 'clicks.'
Here's The Search Term Waste Check — run it this week:
1. Pull your search terms report for the last 30-90 days. Sort by cost, descending.
2. Flag every term with multiple clicks and zero conversions. Negative-keyword the top 10% by cost first.
3. Calculate your true waste rate: cost of irrelevant clicks ÷ total spend. Compare to the 20-40% industry range.
Save this. Run check 01 this week.
DM us AUDIT — we'll run the full check on your account. Free.
Follow Aida Corporation — The Leak Series · New episode Wednesday.

04/09/2026

If your kitchen manager says 'food costs are just up everywhere,' ask for the variance number instead.
Theoretical cost is what the recipe says. Actual cost is what actually left the walk-in. A healthy variance for full-service is 3-5% — above 5% is a red flag. Even a 1-2% unfavorable variance can mean tens or hundreds of thousands of dollars a year across a multi-unit operation.
It doesn't show up as a mistake. It shows up as 'food costs are up.'
Here's The Food Cost Variance Check — run it this week:
01. Calculate actual food cost: beginning inventory + purchases − ending inventory, ÷ food sales.
02. Compare to theoretical cost from recipe costing. Above a 5% gap needs investigation, not a price increase.
03. Break the variance down by menu item — most operators find 2-3 dishes driving most of the gap.
Save this. Run check 01 this week.
DM us AUDIT — we'll run the full check on your numbers. Free.
Follow Aida Corporation — The Leak Series · New episodes every week.

&B

02/09/2026

If your store manager blames shrinkage entirely on theft, they're only chasing one-fifth of it.
Shrinkage isn't one problem. It's four different ones, wearing the same number. U.S. retailers lost $90–112 billion to shrink in 2024–2025, and roughly 20% of it is administrative error — pricing mistakes, cycle-count errors, vendor short-shipping — not theft.
It doesn't show up as a data problem. It shows up as 'shrink.'
Here's The Shrinkage Source Check — run it this week:
01. Split your shrink number by cause before assuming theft. Pull pricing-error, cycle-count, and receiving reports separately.
02. Spot-check 10 recent receiving records against vendor invoices.
03. Calculate your shrink rate as % of revenue and compare to 1.68% — the current national average.
Save this. Pull report 01 this week.
DM us AUDIT — we'll run the full check on your inventory data. Free.
Follow Aida Corporation — The Leak Series · New episode Friday.

31/08/2026

If your email marketing manager reports a 99% delivery rate, that's not the number that matters.
Delivered means a server accepted it. It says nothing about the inbox. Average inbox placement across senders is ~83.1% — roughly 1 in 6 marketing emails never actually reach an inbox. Even fully authenticated mail (SPF, DKIM, DMARC all valid) still lands in spam more than 30% of the time.
A 99% delivery rate and a 60% inbox placement rate can coexist. It doesn't show up as a failure. It shows up as 'delivered.'
Here's The Inbox Placement Check — run it on your next campaign:
01. Run a seed-list test — send to test inboxes across Gmail, Outlook, and Yahoo, and check where it actually lands.
02. Check your SPF, DKIM, and DMARC — then check if DMARC is set to 'p=reject,' not just present.
03. Compare reported delivery rate against actual inbox placement. A gap above 10–15 points means a list-hygiene problem, not a sending problem.
Save this. Run check 01 on your next send.
DM us AUDIT — we'll run the full check on your next campaign. Free.
Follow Aida Corporation — The Leak Series · New episode Wednesday.

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