andrej pancik - scaling e-commerce with marketing automation
TRANSCRIPT
Scaling e-commerce withcustom Facebook marketing automation
Andrej Pancik
My background
Some marketing A data management platformfor ads
A lot of marketing
Represent platform
How do we make money?
Margin for the creatorManufacturing Work
How do we make money?
This is how we operate
How do we make money?
This is how traditional e-commerce operates
Margin for the creator
How do we make money?
That is like our white glove marketing services
How do we make money?
But usually it is this
Who are our users?
We are a two sided marketplace
One side is influencers like
• Celebrities
• People active in their community
The other side is their buyer audiences
Venn diagrams of our audiences
Influencer #1 audience Influencer #2 audience
Influencer #3 audience
Venn diagrams of our audiences
Venn diagrams of our audiences
Why custom ads automation?
Not a reason
A/B testing of ads and audiences
Scheduling
Rules
Templates
1. We had bad data
We can't be investing a lot of money
1. We had bad data
Pixels reports – 15%+ error
No Life Time Value tracking
Not appreciating business nuances
Data all over the place
2. We didn't have the right data
We wanted actionable data points that would guide our bidding and spending1.
2.
This is how I imagined the click cost distribution to be like
Bid
Volume
50%
This is how I imagined the click cost distribution to be like
Bid
Volume
Your bid
What it is really like
Bid
Volume
70%
What it is really like
Volume
Bid
Your bid
It's about the absolute volume you can capture
Bid
Volume
Sometimes good enough
A budget of the big company
2. We didn't have the right data
We wanted to estimate for each audience
• The optimal long-term bidding strategy
• Its true addressable size, and overlaps
• Product affinities
1.2.
3. We were just slow
Many products/audiences › many campaigns › a lot of mistakes
Optimizing existing campaigns
Exploring new opportunities
Traditional rules not sufficient
Traditional templates not sufficient
1.2.3.
Sample setup
Creatives
• set for newsfeed
• set for sidebar
Campaign setup (all dark posting)
• Conversions for 300k+ audience
• Clicks + CPC
• Engagement – with direct CTA
• Retargeting + CPM
1.2.3.
Sample setup #2
Audience tests & research
1. Owned pages data
2. Interest targeting
3. Past website data
4. Custom audiences
5. Lookalikes
6. Behavior on site
Setup pixels
Setup tracking urls
Budget / Optimization
• Initial $10 per ad set (rigorously tested)
• Quick scaling up
• Frequency cut-off
• End of campaign/relaunch
1.2.3.
Why custom automation?
1. We had bad data2. We didn't have the right data 3. We were just slow
Our custom toolingon top of Facebook API
Public tools
Ad banner creator
Facebook Ad launcher
Ad Banner Creator
Sample ad banners
Internal tools
Dashboard
Targeting finder
When using Facebook API –You are on your own.
Summary
TL; DR
We did custom automation because it was
• difficult to get the ground truth to existing tools
• difficult to optimize bidding and spend with existing tools
• still time consuming even with some automation
We built our own stack on top of Facebook API to automate parts we didn't find elsewhere – it was tough but it worked
Good luck!Follow me at @AndrejPancik