Simon Data Pitch Deck: All 11 Slides + Teardown

Simon Data’s Series D pitch deck is a concise, 11-slide narrative that successfully bridges the gap between massive data infrastructure investment and actual business utility. By identifying a specific market failure—that only 13% of enterprises can deliver on their data strategy—Simon Data positions its 'Composable CDP' as the missing link. The deck relies heavily on social proof, citing a 5x G2 Leader status and a strategic partnership with Snowflake. While it redacts specific ARR figures, it highlights a >110% Net Expansion rate and >50% YoY growth, signaling a healthy enterprise SaaS engi…

Key takeaways

• The deck identifies a massive market opportunity, citing a ~$1T market cap in warehouse and computing tech on Slide 2.
• Simon Data positions itself in the 'Composable CDP' quadrant, differentiating from 'Build-it-yourself' reverse ETL tools and 'End-to-End' legacy CDPs on Slide 3.
• The company claims strong enterprise traction with a Fortune 500 consumer bank and a 5x G2 Leader rating on Slide 4.
• Sales efficiency is highlighted through a >20% close rate and a ~33% close rate on partner-sourced opportunities on Slide 4.
• Retention and growth metrics are robust, with Net Expansion reported at >110% on Slide 4.
• The deck leverages external market shifts, including 3p cookie deprecation and Gen-AI innovation, as core growth drivers on Slide 5.
• The leadership team features deep domain expertise, including a CEO with a PhD in Machine Learning and a CTO with an exit to Etsy on Slide 6.
• The deck omits a specific 'Ask' slide or detailed use-of-funds breakdown, which is common for late-stage Series D rounds reported by Business Insider.

Frequently asked questions

What is a Composable CDP as defined in this deck?

According to Slide 3, a Composable CDP is a platform designed for brands with a centralized data strategy. It utilizes a composable architecture built around existing cloud data infrastructure and warehouses, offering comprehensive, out-of-the-box functionality without requiring the 'build-it-yourself' approach of standard reverse ETL tools.

What are the primary market tailwinds Simon Data is riding?

Slide 5 identifies four key trends: the migration to cloud data warehouses, ongoing post-COVID digitization, explosive innovation in Gen-AI, and the deprecation of third-party cookies. These trends force enterprises to move toward first-party audience management and more agile, data-driven marketing solutions.

How does Simon Data demonstrate its relationship with the broader data ecosystem?

Slide 4 highlights a 'Validated Ecosystem,' specifically mentioning Snowflake. Simon Data claims to be the only CDP invited to speak at the Marketing Analytics Forum and notes 14 public touchpoints and joint case studies with Snowflake, positioning themselves as a preferred partner for the leading data warehouse provider.

What metrics does the deck use to prove product-market fit?

The deck focuses on enterprise-grade performance metrics on Slide 4: a >110% Net Expansion rate (indicating high customer retention and upsell), >50% YoY growth, and the fact that ~20% of revenue is generated via customer references. These suggest a strong reputation within the F500 segment.

Who are the key competitors mentioned in the Simon Data deck?

Slide 3 explicitly names competitors across three categories: Reverse ETL (Census, Hightouch), Customer Data Infrastructure (mParticle, Tealium, Segment), and 'End-to-End' CDPs (Salesforce, Treasure Data, Adobe). Simon Data positions itself as the superior alternative that combines centralized strategy with comprehensive functionality.

Simon Data pitch deck: the facts

Company

Simon Data

Year

2024

Stage

Series D

Slides

11

Sector

Data management / MarTech

Deck type

Company Overview / Fundraising

Outcome

$54M Raised

Headquarters

N. America

Simon Data pitch deck PDF

The full Simon Data deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the Simon Data pitch deck was used for

This deck is Simon Data’s **Series D fundraising pitch**, used to raise **$54M** for its warehouse-native, “composable” customer data platform that activates data directly from cloud data warehouses like Snowflake.[1][2][4][6][9][12] Built around the shift from legacy all-in-one CDPs to centralized cloud data infrastructure, the deck positions Simon Data as a connected or fully connected CDP that eliminates redundant data replication and integrates tightly with modern data stacks.[2][6][9] The round was completed in 2023 (reported as Series D, later-stage VC) and public coverage in 2023–2024 highlights product development in automation, generative AI and warehouse-native activation as key uses of funds.[2][4][5][6][13]

Business model: Simon Data provides a **customer data platform (CDP)** and marketing technology that connects directly to modern cloud data warehouses and helps marketers activate centralized customer data across channels.[2][4][6][12]

Round

Later-stage VC, Series D.[2][4][6][13]

Raised

$54M Series D funding round.[1][2][3][4][5][6][9][12][13]

Lead investor

Macquarie Capital.[1][2][3][4][5][6][9][12]

Investors

Macquarie Capital (lead)., Polaris., .406 Ventures., F-Prime.

Headquarters

New York City, United States.[6]

Industry

Customer Data Platform (CDP) / Marketing technology (MarTech).[2][4][6][12]

Year: 2023 (deal announced August 2023; later-stage VC Series D dated around August–September 2023).[2][4][5][6][9][13]

Total funding: Multiple sources report total funding of **over $115M–$118M** following the $54M Series D round, depending on methodology.[1][2][4][6][13]

Use of funds as presented: Primarily R&D and product development (including automation, generative AI, and connected applications), plus building connected integrations with cloud data warehouses and go-to-market initiatives.[1][2][3][5][6]

What happened after the Simon Data deck

Simon Data successfully closed a $54M Series D round led by Macquarie Capital with participation from existing investors Polaris, .406 Ventures, and F-Prime, and continues to operate as a warehouse-native CDP investing in product innovation and market growth.[1][2][3][4][5][6][9][13]

• Completion of a **$54M Series D** funding round classified as later-stage VC.[1][2][4][5][6][9][13]
• Total funding increasing to **over $115M–$118M** depending on source.[1][2][4][6][13]
• Public commitment to invest the Series D proceeds in **R&D, product development, connected applications, automation, gen
• Launch and promotion of connected features such as **Connected Segmentation**, enabling marketers to build customer segm

What the Simon Data deck got right

• Clear alignment with modern cloud data warehouse trends. Simon Data’s Series D narrative is tightly aligned with the industry shift to **centralized cloud data warehouses and warehouse-native activation**, positioning the company as a “composable” or “fully connected” CDP that works with, rather than against, modern data infrastructure.[2][5][6][9][12]
• Strong investor syndicate and lead. The round was **led by Macquarie Capital** with participation from established prior backers **Polaris, .406 Ventures, and F-Prime**, which strongly signals investor confidence and continuity into this later-stage round.[1][2][3][4][5][6][9][12]
• Specific, future-facing use of proceeds tied to product roadmap. Press and company communications emphasize using the $54M to expand **R&D, product capabilities, automation, generative AI, and connected applications**, showing investors a concrete roadmap for how capital will enhance product differentiation and market fit.[1][2][3][5][6]
• Strong conceptual differentiation from legacy CDPs and reverse ETL tools. Simon Data’s positioning explicitly contrasts its warehouse-native approach with **legacy, siloed CDPs and reverse ETL tools**, articulating a differentiated role in the data stack that can be compelling to enterprises re-platforming to modern architectures.[1][2][5][6][9][12]
• Demonstrated product features that operationalize the architecture. Media coverage highlights features like **Connected Segmentation**, which allow marketers to build segments directly in Snowflake regardless of technical skill, demonstrating practical value from the connected architecture for non-technical users.[5][9]
• Evidence of traction and maturity through multiple funding rounds. The company is portrayed as a **New York-based, revenue-generating later-stage VC-backed business** with multiple rounds of funding prior to Series D, which supports a story of traction and durability in the CDP space.[4][6][7][8][10][11][13]

What could have been stronger

• Limited quantified customer outcomes in the externally described narrative. External descriptions of the Series D focus heavily on high-level architectural narratives (warehouse-native, fully connected CDP, composable stack), but do not clearly convey in the deck what specific quantitative business outcomes (e.g., uplift in conversion, ROI) Simon Data reliably delivers; this can make the story feel more infrastructure-led than outcome-led for non-technical budget holders.[1][2][6][12]
• Competitive positioning is conceptually strong but thin on comparative metrics. Coverage of the deck and round emphasizes integration with cloud data warehouses and differentiation from legacy CDPs and reverse ETL tools, but offers little comparative data such as performance benchmarks, cost savings, or migration timelines versus these incumbents, which may weaken the competitive proof for skeptical enterprise buyers.[1][2][5][6]
• Sparse visibility into financial and cohort metrics from public deck coverage. While the round size and investor list signal traction, public materials around the deck do not highlight detailed customer metrics (ARR growth, retention, usage penetration across segments) or cohort data, limiting an investor’s ability to independently assess scalability and unit economics from the deck alone.[1][2][4][6]

How an investor would read this deck

What draws attention

• How convincingly Simon Data’s architecture leverages existing cloud data warehouses to reduce data duplication and latency in customer data activation.[2][5][6]
• Evidence that its “composable” or “fully connected” CDP approach solves real pain points where legacy CDPs and reverse ETL tools fall short for enterprise marketing teams.[1][2][6][9][12]
• The credibility signaled by Macquarie Capital leading the round and repeat participation from Polaris, .406 Ventures, and F-Prime, implying continued confidence in execution.[1][2][3][4][5][6][9]
• The company’s plans to invest heavily in R&D, product development, automation, and generative AI, and how these roadmap bets align with broader MarTech and data trends.[1][2][5][6]

Risks that stand out

• Competition from both legacy CDPs and newer warehouse-native or reverse ETL players could compress differentiation if they adopt similar connected architectures, raising questions about long-term moat.[1][2][5][6][9]
• Reliance on cloud data warehouse ecosystems (e.g., Snowflake) means Simon Data’s value proposition is partially tied to the evolution, pricing, and openness of those platforms.[2][5][6]
• If the company’s R&D and AI investments do not translate into demonstrable marketing performance gains, the infrastructure narrative alone may not sustain growth relative to outcome-focused competitors.[2][5][6]

Questions this deck invites

• How does Simon Data’s warehouse-native activation model impact implementation time and ongoing maintenance costs compared with traditional CDPs for large enterprise customers?[2][5][6]
• What are Simon Data’s key usage, retention, and revenue metrics across its customer base, and how have these trended leading into and after the Series D round?[4][6][13]
• How does Simon Data technically differentiate from reverse ETL tools and modern data activation platforms that also sit on top of cloud data warehouses?[1][2][5][6]
• What security, governance, and compliance features does Simon Data provide when operating directly on centralized warehouse data for regulated industries?[2][5][6]
• How is Simon Data integrating automation and generative AI into its product in ways that drive measurable marketing performance improvements rather than purely incremental features?[2][5]

What founders can take from the Simon Data deck

• Signaling a clear **architectural shift** (from legacy CDPs to warehouse-native activation) can be a powerful fundraising narrative when aligned with broader industry trends and investor theses.[1][2][5][6][12]
• Having a **well-known institutional lead (Macquarie Capital) and repeat participation from prior investors** strengthens perceived credibility and momentum in a later-stage round.[1][2][3][4][5][6][9]
• Framing the product as a **“composable” or “fully connected” CDP tightly integrated with cloud warehouses** differentiates it from monolithic legacy stacks and connects directly to modern data-team priorities.[2][5][6][9]
• Explicitly tying the use of funds to **R&D, connected applications, automation, and generative AI** shows investors a clear roadmap for how capital will drive product and market differentiation.[1][2][5][6]
• Positioning against both **legacy CDPs and reverse ETL tools** highlights that you understand the full competitive landscape and are designing a solution that fits into existing data infrastructure rather than replacing it wholesale.[1][2][5][6]
• Publishing a “real pitch deck” with a major outlet like Business Insider can extend the impact of a raise as a marketing and employer-brand asset, not just a financing event.[1][12]

Simon Data pitch deck: common questions

What does Simon Data do?

Simon Data is a **customer data platform (CDP)** and marketing technology company that connects directly to modern cloud data warehouses to help marketers organize, segment, and activate customer data across channels.[2][4][5][6][12] It describes itself as a “composable” or “fully connected” CDP built for warehouse-native activation rather than legacy, siloed data stacks.[2][6]

What were the key details of Simon Data’s Series D round?

Simon Data’s **Series D** was a **$54M** funding round announced in August 2023 and used a deck focusing on warehouse-native CDP architecture and connected applications.[1][2][4][5][6][9][12] Multiple sources and PitchBook classify it as a later-stage VC Series D round with deal date around August–September 2023.[2][4][13]

Who invested in Simon Data’s $54M Series D?

The **Series D was led by Macquarie Capital**, with participation from existing investors including **Polaris**, **.406 Ventures**, and **F-Prime**.[1][2][3][4][5][6][9][12]

How is Simon Data using the Series D funds?

Press coverage and company communications state that Simon Data will invest the Series D proceeds primarily in **R&D and product development**, including automation, generative AI features, and connected applications that integrate with cloud data warehouses, as well as go-to-market expansion.[1][2][3][5][6]

Is there a public pitch deck for Simon Data’s Series D fundraise?

Yes. Business Insider explicitly features the **real pitch deck Simon Data used to raise $54M in a Series D round**, describing how the deck emphasizes centralized cloud data warehouses and positions Simon Data against legacy CDPs and reverse ETL tools.[1][12]

Sources

Funding and outcome facts on this page were researched on 2026-08-30 from the pages below.

• Simon Data: Marketing Tech Company Raises $54 Million Series D
• 'Composable CDP' Simon Data Raises $54 Million - AdExchanger
• Simon Data Raises Series D Funding Round to Further Develop ...
• Simon Data is putting customer data to work with $54M Series D
• Simon Data reels in $54M for its AI-powered customer data platform
• Simon Data Nets $54 Million for Customer Data Platform Growth
• Customer data marketing platform Simon Data raises $30m
• Simon Data, Whose AI Helps Companies Understand Customers ...

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