Salesforce Shopping Index: the data franchise that turned Q4 into a B2B marketing season

Where Salesforce was in the early 2010s

By the early 2010s, Salesforce was the leading SaaS CRM platform and had begun expanding into adjacent categories — service, marketing, commerce. The Demandware acquisition in 2016 (which became Commerce Cloud) gave Salesforce a meaningful position in e-commerce platform software for major retail brands. The company suddenly had access to aggregated, anonymized data about e-commerce activity flowing through hundreds of merchants on the platform.

The marketing question was what to do with that data. Most B2B SaaS companies sit on similar data and use it internally for product development or as occasional one-off content marketing. Salesforce’s structural move was to package the data as an annual public franchise — the Shopping Index — and turn the publication moment into a recurring B2B marketing event.

The franchise

The Shopping Index publishes aggregated, anonymized e-commerce metrics across Salesforce Commerce Cloud’s merchant base. Metrics include traffic, conversion rate, average order value, total spend, mobile vs. desktop split, and various other category-level breakdowns. The franchise runs year-round but peaks during Cyber Week, when Salesforce publishes near-real-time data during the most-watched e-commerce window of the year.

A few structural choices made the franchise work as B2B marketing:

• Real-time publication during Cyber Week. Salesforce publishes data during the actual shopping window, not after. Real-time data has news value that retrospective analysis doesn't.
• Aligned with Salesforce's own fiscal calendar. Salesforce’s fiscal year ends January 31, so Q4 (Nov-Jan) is the company’s own pipeline-acceleration window. The Shopping Index lands in front of B2B buyers exactly when Salesforce’s sales team needs to close deals.
• Data with news value. Each year’s Shopping Index includes specific findings that have inherent newsworthiness (the impact of mobile on Cyber Week, the growth of buy-now-pay-later, the early arrival of holiday shopping). The findings give business press something to cover.
• Customer-enablement value alongside brand-marketing value. The Shopping Index data is genuinely useful to Salesforce Commerce Cloud merchants planning their own holiday strategies. The franchise serves customers and prospects at the same time, which is part of why it has sustained for over a decade.

What grew, and what came with it

The Shopping Index has run continuously for over a decade. The franchise generates substantial earned-media coverage each Cyber Week, provides ongoing customer-enablement value to Salesforce Commerce Cloud merchants, and serves as conversation-starter material for Salesforce’s B2B sales team going into Q1 pipeline conversations.

The franchise has also expanded over the years — not just Cyber Week reporting but year-round publishing, vertical-specific cuts (apparel, beauty, electronics), regional breakdowns, and increasingly sophisticated AI and personalization metrics. The annual cadence has remained the central anchor, but the broader data product has become a meaningful piece of Salesforce’s content marketing infrastructure beyond just the holiday window.

What other B2B SaaS companies could copy

Several B2B SaaS companies have built similar data-as-content franchises. Some have worked (HubSpot’s State of Inbound, Atlassian’s State of Teamwork, certain Adobe and Google annual reports). Many haven’t reached comparable durability. The patterns of success are consistent:

• Proprietary data is the foundation. Franchises built on third-party data or sponsored research don't produce the same authority as franchises built on data the company actually has access to.
• Annual cadence beats episodic publication. Audiences plan around an annual rhythm. Companies that publish data inconsistently don't build the same anticipation or compound effect.
• Newsworthiness has to be genuine. Data franchises with findings that are obvious or predictable don’t generate earned media. The data has to actually surface something interesting each year.
• Multi-audience value (customer enablement + brand marketing + sales enablement) compounds. Franchises that serve only one audience are harder to sustain than franchises that serve customers, prospects, and the broader market simultaneously.

How RGM thinks about data-as-marketing franchises

When clients with proprietary data ask whether they should build a recurring data-franchise, the answer is usually yes — if they're willing to commit to it for years and if the data is genuinely interesting. The compounding effect over a decade is significant: an annual data franchise in year ten has authority no new entrant can match for years. The structural moat is the historical data set, not the current year’s findings.

The hard part is the multi-year commitment. Most companies start a data franchise, publish for two or three years, and abandon it when the original team moves on. The franchises that produce real value are the ones the company commits to as an institutional asset, not as one team’s pet project. Salesforce’s Shopping Index has survived multiple CMO transitions because the franchise is now part of how the company markets itself in Q4 — not a project anyone could quietly kill. We tell clients to design data franchises as institutional assets from day one, with succession planning and budget protection built into the operating model. Otherwise the franchise dies the first time the team that started it leaves.

Frequently asked questions

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