Key Points

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So rather than working with a single prompt at a time in a chat interface, you can run the same prompt at scale on many cells.

Get OpenAPI key here

You’ll need an API key to use this plugin, and you can get one from openAI here.

https://www.searchenginejournal.com/wp-content/uploads/2023/03/image15-642346081903b-sej.png

marketing-The-Definitive-Guide-to-Data-Driven-Marketing.pdf.    link

4 Defining Data-Driven Marketing  

7 Modern CDP Use Cases: Customer 360 

11 Modern CDP Use Cases: Planning and Activation 

15 Use Case for Marketing Intelligence: Campaign Intelligence 

19 Use Case for Marketing Intelligence: Measurement and Optimization

21 The AI Data Cloud for Marketing

Data-driven is the process of unifying customer and  marketing data from multiple sources and analyzing  it to execute end-to-end planning, activation and  measurement of marketing campaigns, deliver  personalized experiences for customers, and maximize  marketing ROI. The objective is to coordinate all of the  organization’s resources and tactics to improve the  customer journey — and increase sales and revenue.  

There are two critical elements of data-driven  marketing: 

• A modern customer data platform for customer  360, planning and activation 

• A marketing intelligence platform for campaign  intelligence, measurement and optimization

Marketing execution: How marketers  execute campaign planning, such as user journey  mapping and segmentation, and activate their  data for the right marketing and advertising  endpoints — known as planning and activation.

#4 Measurement: Create a holistic  

understanding of marketing effectiveness.  Utilize advanced marketing mix modeling,  multi-channel attribution, experimentation,  and lift methodologies to analyze and optimize  marketing strategies across all channels.

A robust martech ecosystem and catalog of  best-in-breed applications 

Snowflake enables you to execute your  full marketing lifecycle with a catalog of  marketing applications, collaborate and partner with leading publishers and agencies,

3 STAGES OF MARKETING DATA MATURITY

2. MODERN CDP USE CASES: CUSTOMER 360

PRIVACY AND GOVERNANCE 

Snowflake offers a privacy-first, secure platform with  built-in governance. With Snowflake, organizations can  protect sensitive information through features such as  data clean rooms and consent management.  

CONSENT MANAGEMENT

How it works: Packaged     CDP 

1. Data from websites, mobile apps, POS  and more is ingested into Packaged CDP. 
2. Data from other sources is ingested into  Snowflake, either streaming or batch. 
3. Snowflake Marketplace data is added  for enrichment. 
4. Data is shared from the Packaged CDP  to the customer’s Snowflake instance. 
5. Streams and tasks are used to combine and  aggregate all data. 
6. Data from ETL/ELT process is combined with  data from Packaged CDP. 
7. The combined data is shared back to the  Packaged CDP. 
8. Packaged CDP activates data to  marketing channels.

How it works: Composable CDP 

1. Data from websites and mobile apps  are ingested using partner tools, either streaming  or in batch. 
2. That data is combined with other data loaded via ETL. 
3. Snowflake Marketplace data is added  to enrich customer profiles.
4. Streams & tasks are leveraged to  aggregate customer data. 
5. Native Identity is leveraged to combine  cross-channel profiles. 
6. This data is then combined into a golden customer  record. 
7. Segmentation is done on top of this data, breaking  customers into groups by similarity. 
8. Audience data is created from this  segmented data.

Components of campaign intelligence

AUTOMATIVE MARKETING WITH NATIVE  GENERATIVE AI 

use  Snowflake Cortex to easily tap into industry-leading AI  models, including LLMs.  

Here are a few things marketers can do with Cortex: 

• Extract insight from documents with Document  AI: Automate tedious tasks and gain deeper  insights from unstructured or structured document  information to facilitate use cases such as lead  scoring and content analysis. 
• Extend data science value to your marketing team  with Snowflake Copilot: Offer your marketing  team autonomy to generate insights from data  by allowing them to generate SQL from natural  language and refine queries with conversation. 
• • Accelerate insights and improve productivity  with Universal Search: Quickly find the data and  apps you’re looking for faster, across both your  Snowflake account and Snowflake Marketplace,  in one search.

How it works: Campaign intelligence 

1. Data from marketing ETL tools are loaded  into staging tables. 
2. Data from native ad platforms are added via  secure data sharing. 
3. Marketing data is normalized, so that all  platforms can be viewed together. 
4. 4. Data from native ad platforms is aggregated,  as necessary, and is normalized to match
5. Data is combined into the final set of tables. 
6. Views are created, optimized to power user facing dashboards. 
7. The preferred BI tool is used to read from the  views for user facing dashboards

Potential Value Opportunities

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