When a multi-brand conversion rate drops, find which brand and which channel fell before you go hunting for a cause. If every brand fell on the same date, the cause is shared (tracking or a platform change). If one brand fell, the cause is local (offer, content or audience).
TLDR: Split the drop by brand, then channel, then campaign. A drop on one date across all brands points to tracking. A slow decline in one brand points to content, offer or audience.
A combined rate hides everything. Five brands at 2% each, with one brand collapsing, can still look like a small dip.
Step 1: build one table with brand, channel and week
Make a table of conversions, clicks and conversion rate per brand per channel for the last 8 weeks. Keep the same definition of "conversion" across brands.
| Brand | Channel | Clicks | Conversions | Rate |
|---|---|---|---|---|
| Brand A | ||||
| Brand A | ||||
| Brand B |
Highlight any row that moved more than a third from its own 8-week median. That is your list of suspects.
Step 2: shared drop or one-brand drop?
Look at the dates.
- Same date, several brands: tracking, a site or checkout change, a platform policy or a holiday.
- Different dates: local causes, brand by brand.
- One brand, one channel: the content or the audience on that channel.
For a shared drop, check UTM tags and the landing page first. A simple tracking error is more common than a sudden change in buyers. Our UTM gap guide shows how to find the missing tags.
Step 3: check each brand's own funnel
Take the suspect brand and follow the funnel: impression, click, landing, conversion. Find the step where the rate fell the most.
- Click rate fell: the creative or the call to action.
- Landing page rate fell: the page or the offer.
- Conversion fell with stable clicks: price, stock or checkout.
Use that brand's own median as a baseline. In Mydrop's data, engagement medians differ by platform (3.1% on Instagram, 1.1% on Facebook), so a "low" number on one platform can be perfectly normal on another.
Step 4: look at timing across time zones
Multi-brand teams often schedule from one office for brands in several markets. A post set for the team's morning can land at 3 am for the audience. In Mydrop's data, posts published between midnight and 6 am local time ran 17% below the median across platforms.
Check each brand's posting hours in its audience's local time. The timezone to conversion audit walks through it.
Step 5: check for template drift
Reusing one template across brands saves time, but it can wipe out what made each brand convert. Look at the last 20 posts of the suspect brand. If they could be swapped with another brand's posts, the voice has drifted.
Bring back the brand-specific parts: the offer, the proof, the call to action.
Decide what counts as a real drop
Small brands swing a lot. A brand with 40 conversions a month can lose 8 to chance alone. Before you raise the alarm, set a rule: a drop counts when the rate stays more than a third below the brand's own 8-week median for two weeks in a row, or when it falls off a cliff on one date. Share that rule with every account manager, so the same dip does not trigger a panic for one brand and a shrug for another. It also stops clients reading a bad week as a trend.
Keep each brand's baseline in a dashboard
The fastest way to catch a drop is to see each brand against its own history every week. Mydrop's workspaces and brands keep each client or brand apart, and the reports can be scheduled so the numbers arrive before the questions do.
Next step: build the table in Step 1 for your worst brand today. In most teams, the answer shows up before the table is finished. If conversions are measured differently across brands, align the definition first, and read when to stop measuring reach and start tracking conversion next.
Google review
Trustpilot review
Product Hunt comment
