Marketing mix modeling in Digital Marketing - Step-by-Step Execution

Concept Flow - Marketing mix modeling

Collect Sales & Marketing Data

↓

Identify Marketing Channels

↓

Build Statistical Model

↓

Analyze Impact of Each Channel

↓

Optimize Marketing Budget

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Implement Changes

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Measure Results

↩Back to Collect Data

Marketing mix modeling uses data to find how different marketing channels affect sales, then helps decide the best budget allocation.

Execution Sample

Digital Marketing

1. Gather sales and marketing spend data
2. Choose channels (TV, online, print)
3. Use stats to link spend to sales
4. Find each channel's effect
5. Suggest budget changes
6. Apply and track results

This process shows how marketing mix modeling uses data and stats to improve marketing decisions.

Analysis Table

Step	Action	Data/Input	Output/Result	Next Step
1	Collect data	Sales figures, marketing spends	Dataset ready	Identify channels
2	Identify channels	Dataset	Channels: TV, Online, Print	Build model
3	Build model	Channels and data	Statistical model linking spend to sales	Analyze impact
4	Analyze impact	Model	Effect size per channel (e.g., TV=40%, Online=35%, Print=25%)	Optimize budget
5	Optimize budget	Channel effects	Recommended spend allocation	Implement changes
6	Implement changes	Budget plan	New marketing plan launched	Measure results
7	Measure results	Sales after changes	Sales increase or decrease measured	Loop back to collect data
8	End	If data insufficient or model unstable	Stop or refine model	End process

💡 Process repeats continuously to improve marketing effectiveness or stops if data/model is insufficient.

State Tracker

Variable	Start	After Step 2	After Step 4	After Step 5	Final
Sales Data	Raw sales numbers	Collected and organized	Used in model	Used for budget optimization	Measured post-implementation
Marketing Channels	Unknown	Identified (TV, Online, Print)	Analyzed impact	Budget allocated	Monitored for results
Model	None	None	Statistical model built	Model guides budget	Model updated with new data
Budget Allocation	Current spend	Current spend	Not changed yet	New recommended spend	Applied spend

Key Insights - 3 Insights

Why do we need to identify marketing channels before building the model?

Because the model needs to know which channels to analyze separately; without this, it can't link spend to sales per channel (see execution_table step 2 and 3).

What happens if the data is insufficient or the model is unstable?

The process stops or requires refinement to avoid wrong conclusions, as shown in execution_table step 8.

Why do we measure results after implementing budget changes?

To check if the changes improved sales and to provide new data for the next cycle (execution_table step 7).

Visual Quiz - 3 Questions

According to the execution_table, at which step is the statistical model created?

A Step 5

B Step 3

C Step 2

D Step 7

💡 Hint

Look at the 'Build model' action in the execution_table.

In the variable_tracker, what is the state of 'Budget Allocation' after Step 5?

A Current spend

B Not changed yet

C New recommended spend

D Applied spend

💡 Hint

Check the 'Budget Allocation' row under 'After Step 5' in variable_tracker.

If the sales data is not collected properly, what will likely happen according to the execution_table?

A The process will stop or need refinement

B The model will be built successfully

C Budget will be optimized correctly

D Marketing channels will be identified

💡 Hint

Refer to the exit_note and step 8 in execution_table.

Concept Snapshot

Marketing mix modeling:
- Collect sales and marketing spend data
- Identify marketing channels
- Build a statistical model linking spend to sales
- Analyze each channel's impact
- Optimize budget based on model
- Implement changes and measure results
- Repeat cycle for continuous improvement

Full Transcript

Marketing mix modeling is a process that uses sales and marketing data to understand how different marketing channels affect sales. First, data is collected and channels like TV, online, and print are identified. Then, a statistical model is built to link marketing spend to sales results. This model shows the impact of each channel. Based on this, marketers optimize their budget to spend more on effective channels. After implementing the new budget, results are measured to see if sales improved. This process repeats to keep improving marketing effectiveness. If data is poor or the model is unstable, the process stops or needs refinement to avoid wrong decisions.

Practice

1. What is the main purpose of Marketing Mix Modeling in digital marketing?

easy

A. To design new product features

B. To understand which marketing activities increase sales

C. To create social media content

D. To manage customer service requests

Solution

1. Step 1: Understand the goal of marketing mix modeling

   Marketing mix modeling uses data to find out which marketing efforts affect sales.

2. Step 2: Identify the correct purpose

   Among the options, only understanding which marketing activities increase sales matches this goal.

3. Final Answer:

   To understand which marketing activities increase sales -> Option B

4. Quick Check:

   Marketing mix modeling = Understand sales drivers [OK]

Hint: Focus on sales impact to find the main purpose [OK]

Common Mistakes:

• Confusing marketing mix modeling with content creation
• Thinking it manages customer service
• Assuming it designs product features

2. Which of the following is a key input used in marketing mix modeling?

easy

A. Customer support tickets

B. Website design templates

C. Advertising spend data

D. Employee work schedules

Solution

1. Step 1: Identify typical data used in marketing mix modeling

   Marketing mix modeling uses data like advertising spend, prices, and promotions to analyze sales impact.

2. Step 2: Match the correct input

   Advertising spend data is a key input, unlike support tickets, design templates, or schedules.

3. Final Answer:

   Advertising spend data -> Option C

4. Quick Check:

   Key input = Advertising spend data [OK]

Hint: Look for data related to marketing activities [OK]

Common Mistakes:

• Choosing unrelated data like support tickets
• Confusing design templates with data
• Selecting employee schedules mistakenly

3. Consider a marketing mix model that shows TV ads increase sales by 10%, online ads by 15%, and price discounts by 5%. Which activity has the highest impact on sales?

medium

A. Online ads

B. TV ads

C. Price discounts

D. All have equal impact

Solution

1. Step 1: Compare the percentage impacts given

   TV ads increase sales by 10%, online ads by 15%, and price discounts by 5%.

2. Step 2: Identify the highest percentage

   15% (online ads) is greater than 10% and 5%, so online ads have the highest impact.

3. Final Answer:

   Online ads -> Option A

4. Quick Check:

   Highest impact = Online ads (15%) [OK]

Hint: Pick the largest percentage impact value [OK]

Common Mistakes:

• Choosing TV ads because they are traditional
• Assuming price discounts have biggest effect
• Thinking all impacts are equal

4. A marketing mix model shows negative sales impact for a certain promotion. What could be a likely reason?

medium

A. The model incorrectly included unrelated data

B. The promotion was not run during the period analyzed

C. The promotion was too expensive and reduced profit

D. The promotion caused customers to buy more

Solution

1. Step 1: Understand negative impact in modeling

   A negative sales impact means the model found the promotion reduced sales or had no positive effect.

2. Step 2: Identify common modeling errors

   Including unrelated or incorrect data can cause wrong negative results in the model.

3. Final Answer:

   The model incorrectly included unrelated data -> Option A

4. Quick Check:

   Negative impact often means data or model error [OK]

Hint: Check for data errors if impact is negative [OK]

Common Mistakes:

• Assuming negative impact means promotion was expensive
• Thinking promotion was not run without checking data
• Believing negative impact means more sales

5. A company wants to allocate a $100,000 marketing budget across TV ads, online ads, and promotions. Marketing mix modeling shows online ads have twice the sales impact per dollar compared to TV ads, and promotions have half the impact of TV ads. How should the company prioritize spending?

hard

A. Spend all on TV ads only

B. Spend equally on all three channels

C. Spend most on promotions, less on online ads, least on TV ads

D. Spend most on online ads, less on TV ads, least on promotions

Solution

1. Step 1: Understand relative impact per dollar

   Online ads impact = 2x TV ads impact; Promotions impact = 0.5x TV ads impact.

2. Step 2: Prioritize budget based on impact

   To maximize sales, allocate more budget to online ads (highest impact), then TV ads, then promotions (lowest impact).

3. Final Answer:

   Spend most on online ads, less on TV ads, least on promotions -> Option D

4. Quick Check:

   Highest impact gets most budget [OK]

Hint: Allocate budget proportional to impact strength [OK]

Common Mistakes:

• Spending equally without considering impact
• Ignoring promotions impact and overspending there
• Putting all budget into TV ads only