andrej pancik - scaling e-commerce with marketing automation

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Scaling e-commerce with custom Facebook marketing automation Andrej Pancik

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Page 1: Andrej Pancik - Scaling e-commerce with marketing automation

Scaling e-commerce withcustom Facebook marketing automation

Andrej Pancik

Page 2: Andrej Pancik - Scaling e-commerce with marketing automation

My background

Some marketing A data management platformfor ads

A lot of marketing

Page 3: Andrej Pancik - Scaling e-commerce with marketing automation

Represent platform

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How do we make money?

Margin for the creatorManufacturing Work

Page 5: Andrej Pancik - Scaling e-commerce with marketing automation

How do we make money?

This is how we operate

Page 6: Andrej Pancik - Scaling e-commerce with marketing automation

How do we make money?

This is how traditional e-commerce operates

Margin for the creator

Page 7: Andrej Pancik - Scaling e-commerce with marketing automation

How do we make money?

That is like our white glove marketing services

Page 8: Andrej Pancik - Scaling e-commerce with marketing automation

How do we make money?

But usually it is this

Page 9: Andrej Pancik - Scaling e-commerce with marketing automation

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

Page 10: Andrej Pancik - Scaling e-commerce with marketing automation

Venn diagrams of our audiences

Influencer #1 audience Influencer #2 audience

Influencer #3 audience

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Venn diagrams of our audiences

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Venn diagrams of our audiences

Page 13: Andrej Pancik - Scaling e-commerce with marketing automation

Why custom ads automation?

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Not a reason

A/B testing of ads and audiences

Scheduling

Rules

Templates

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1. We had bad data

We can't be investing a lot of money

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1. We had bad data

Pixels reports – 15%+ error

No Life Time Value tracking

Not appreciating business nuances

Data all over the place

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2. We didn't have the right data

We wanted actionable data points that would guide our bidding and spending1.

2.

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This is how I imagined the click cost distribution to be like

Bid

Volume

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50%

This is how I imagined the click cost distribution to be like

Bid

Volume

Your bid

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What it is really like

Bid

Volume

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70%

What it is really like

Volume

Bid

Your bid

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It's about the absolute volume you can capture

Bid

Volume

Sometimes good enough

A budget of the big company

Page 23: Andrej Pancik - Scaling e-commerce with marketing automation

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.

Page 24: Andrej Pancik - Scaling e-commerce with marketing automation

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.

Page 25: Andrej Pancik - Scaling e-commerce with marketing automation

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.

Page 26: Andrej Pancik - Scaling e-commerce with marketing automation

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.

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Why custom automation?

1. We had bad data2. We didn't have the right data 3. We were just slow

Page 28: Andrej Pancik - Scaling e-commerce with marketing automation

Our custom toolingon top of Facebook API

Page 29: Andrej Pancik - Scaling e-commerce with marketing automation

Public tools

Ad banner creator

Facebook Ad launcher

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Ad Banner Creator

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Sample ad banners

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Internal tools

Dashboard

Targeting finder

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When using Facebook API –You are on your own.

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Page 38: Andrej Pancik - Scaling e-commerce with marketing automation

Summary

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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

Page 40: Andrej Pancik - Scaling e-commerce with marketing automation

Good luck!Follow me at @AndrejPancik