Room IV: the escalator ascends
A billion dollars, attributed
- Engagement
- Macys.com
- Role
- Marketing Acquisition Manager
- Period
- 2014 → 2016
- Location
- San Francisco, CA
At Macys.com I ran a team of three and a $30M annual ad budget, about a third of Macy’s yearly search budget, across seven business functions. Attributed revenue grew 10% year over year to $1B for 2015, with holiday ecommerce revenue up 25% year over year.
The landscape
The landscape
Macy’s search program was an institution, and retail institutions live and die by the holiday season. The scale made everything harder: seven business functions, four paid channels, a third of the company’s yearly search budget, and roughly 250,000 creatives no team could test by hand. On top of that, the bid-management platform had to move from Marin to Kenshoo without missing the holiday deadline.
The approach
The approach
I treated it as an engineering problem wearing a marketing badge. Creative testing was automated across roughly 250,000 creatives. Flash-sale tracking, a complex measurement problem, ran on Adobe Analytics and IBM Coremetrics. I wrote Python for supply-chain inventory and intraday cost dashboards. I moved Macy’s into Google and Bing shopping ads while the text and display channels kept running. And I led the Marin to Kenshoo migration, which cut SEM SaaS cost 30% and landed on the holiday deadline.
- Grew attributed revenue 10% YoY to $1B for 2015 across paid search, display, retargeting, and product listing ads.
- Led the Marin to Kenshoo bid-management migration: SEM SaaS cost down 30%, delivered on the holiday deadline.
- Automated creative testing across roughly 250,000 creatives.
- Moved Macy’s into Google and Bing shopping ads while optimizing the existing text and display channels.
- Wrote Python for supply-chain inventory and intraday cost dashboards.
The projects
The projects
-
01 A third of the search budget
A $30M annual budget across seven business functions and four paid channels, with attributed revenue grown 10% year over year to $1B for 2015.
- Supervised a team of three across PPC, display, retargeting, and product listing ads.
- Owned more than a third of Macy’s yearly search budget.
- $1B attributed revenue, 2015 up 10% year over year
- +25% holiday ecommerce revenue YoY optimized search and display
-
02 Marin to Kenshoo before the holiday
An RFP and platform migration for bid management that cut SEM SaaS cost 30% and landed before the holiday freeze.
- Led the RFP and the transition project team.
- Delivered on the holiday deadline, the one date retail does not move.
- 30% SEM SaaS cost cut
- Marin
- Kenshoo
-
03 A quarter million creatives, tested by script
Automated testing across roughly 250,000 creatives on a frequent promotional cadence, with flash-sale tracking built in Adobe Analytics and IBM Coremetrics.
- Wrote the automation that iterated and tested the creative set.
- Built complex flash-sale tracking in Adobe Analytics and IBM Coremetrics.
- ~250K creatives under automated testing
- Adobe Analytics
- IBM Coremetrics
- Python
- Exhibit pending: The creative test matrix, promotions by product line
Exhibit I The test matrix: promotions down, product lines across.
-
04 Into Google and Bing shopping
Macy’s moved into Google and Bing shopping ad formats while the existing text and display channels kept their efficiency.
- Launched product listing ads on Google and Bing.
- Kept text and display optimized through the transition.
-
05 Python for inventory and intraday cost
Scripts for supply-chain inventory and an intraday cost tracking dashboard, so spend decisions could be made during the day rather than after it.
- Wrote the inventory scripts that fed merchandising decisions.
- Built the intraday cost dashboard the team ran on.
- Python
I learned at Macy’s that a holiday deadline is not a metaphor.
The exhibits
The exhibits
- Exhibit pending: The holiday launch calendar
Exhibit II The holiday calendar the migration had to beat.
The results
The results
- $1B attributed annual revenue for 2015 up 10% year over year across search, display, retargeting, and product listing ads
- 30% SEM SaaS cost cut Marin to Kenshoo migration, delivered on the holiday deadline
- ~250K creatives under automated testing with complex flash-sale tracking in Adobe Analytics and IBM Coremetrics
- +25% holiday ecommerce revenue YoY through optimized search and display campaigns
The apparatus
The apparatus
- Marin
- Kenshoo
- Adobe Analytics
- IBM Coremetrics
- Python
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