CMRSL says CMGalaxy conversion is slower than planned in H1

In H1 FY 26-27, CMRSL said CMGalaxy customer conversion was slower than anticipated because enterprise sales cycles took longer, even as its publisher-monetisation business grew 90% in the first half. Management said CMGalaxy remains on a small revenue base and requires more go-to-market resources and access to more data-mature customers.

Why is CMGalaxy conversion slower than CMRSL planned?

CMRSL said CMGalaxy traction has been slower than anticipated because the customer-acquisition cycle has proved longer than management originally expected. When asked about a previously cited target of 100 customer logos during the year, management did not give an updated customer count. It instead said the sales process requires further optimisation before market interest can convert into paid client activation more consistently.

Management described the obstacle as a mixed set of commercial and customer-readiness issues, rather than a single problem with pricing or product capability. CMRSL said it needs to expand go-to-market, or GTM, resources, while many Indian clients have limited data maturity. These clients may show interest and demand for the data platform, but moving from interest to a paid deployment takes time.

CMRSL distinguished between feedback from current users and the pace of new customer conversion. Management said clients already using CMGalaxy are getting good traction and results from the product, but it also said improvement is needed in managing the sales cycle. The call did not disclose the average duration of that cycle, the proportion of prospects becoming paid customers or the platform's retention rate.

When asked for CMGalaxy revenue in the two first-half quarters, management said it could not provide the figure and characterised the business as being at a small base. That leaves no disclosed measure of quarterly sales, margin or contract value for the platform. By comparison, management said H1 revenue growth across CMRSL came from multiple business units and a number of clients that were onboarded or activated.

What is CMRSL doing to improve CMGalaxy customer conversion?

CMRSL said it is investing more in GTM resources and identifying partners in markets such as the United States to improve CMGalaxy's access to more mature data users. Management presented those actions as its response to the extended enterprise conversion cycle and the varying data readiness of prospective Indian clients.

The United States plan is an effort to broaden the addressable customer base, not a revenue forecast or a confirmed market launch. CMRSL said it is examining how to reach more mature clients in markets such as the United States and is seeking partners that may help it penetrate those markets. Management called this work in progress and said the product needs more traction than it has achieved so far.

CMRSL also said it will continue investing in the product despite the slower commercial pace. In the wider business, management said it is making steady and significant technology investments from generated surpluses while balancing those investments with shareholder payouts. It did not disclose a separate CMGalaxy budget, a GTM headcount target or a date for reaching the 100-logo goal mentioned by the analyst.

The immediate issue is therefore commercial execution rather than a disclosed change in the product's intended use. CMRSL said the needed improvement is sales-cycle optimisation, while current client feedback remains positive. No figure was provided for customer-acquisition cost, implementation time, renewal activity or the amount of additional GTM spending planned for CMGalaxy.

What does CMGalaxy provide to CMRSL clients?

CMRSL said CMGalaxy is a technology layer intended to improve reporting, data tracking and data solutions for clients using its advertising-platform relationships. Management cited Google, PubMatic and Magnite as global platforms with which it has preferential relationships, while describing CMGalaxy as an additional layer rather than a replacement for third-party advertising infrastructure.

Management linked the product to a customer data platform, or CDP, which it called a “custom data platform” during the call. CMRSL said this approach can build detailed user profiles and user journeys, helping brands understand user behaviour and intent and build first-party data. Management argued that relevant data is the raw material needed for effective artificial-intelligence, or AI, applications.

This positioning differs from affiliate-based marketing, an area that management said CMRSL does not focus on. The company said its approach is designed to let brands develop their own first-party data rather than rely on another platform's data relationship. CMRSL did not disclose revenue, cost savings or client-return data specifically attributable to CMGalaxy's data capabilities.

CMRSL also said it has built in-house AI infrastructure that includes orchestration, decision-making and memory layers, while working with Amazon Web Services, or AWS, and Google Cloud. Management said these AI tools support external offerings and internal optimisation. It did not quantify a financial benefit from the AI infrastructure or state that CMGalaxy alone has delivered measurable savings or additional revenue.

How does CMGalaxy compare with CMRSL's other technology businesses?

CMRSL said CMGalaxy remains a small, undisclosed revenue base, whereas its publisher-monetisation business grew 90% in H1. The comparison indicates that publisher monetisation is currently the more visibly scaled technology-led business discussed in the call, because management provided a growth figure for it but none for CMGalaxy.

For publisher monetisation, CMRSL said AuxoAds uses automation and AI to improve yields, cost per thousand impressions, or CPM, and fill rates. Management said it has built a header-bidding tool and an auto-ad generator, and is creating a header-bidding solution for apps. It said these working solutions contributed to the 90% H1 growth in that specific business.

CMRSL's publisher strategy is focused on advertising formats including video, connected television and app monetisation, rather than the source of traffic. Management said traditional search traffic is diminishing as AI-based traffic expands, but it is agnostic about whether traffic arrives through AI. CMGalaxy, in contrast, faces the separate task of converting enterprise prospects into paid data-platform customers.

What should readers watch in CMRSL's CMGalaxy execution?

CMRSL's next test is whether additional GTM investment and prospective United States partnerships improve paid-client conversion from the current small base. Management said the product has positive feedback and long-term growth and profitability prospects, but it gave no timetable for resolving slower-than-expected traction or reporting platform revenue.

The platform's execution also sits within management's broader aim of expanding customers while moving towards double-digit margins. Management said lower margins currently reflect competitive customer acquisition and continued investment in sales, marketing and technology. It did not give a timetable for double-digit margins, nor did it attribute any margin target specifically to CMGalaxy.

Conclusion

CMRSL has acknowledged that CMGalaxy is behind its anticipated commercial pace because enterprise conversions take longer than expected, GTM resources need expansion and many prospective Indian customers have lower data maturity. Management nevertheless said existing users are obtaining results, while publisher monetisation showed 90% H1 growth from technology that is already deployed at greater scale.

Readers should watch CMRSL's planned GTM expansion and its effort to identify United States partners for access to more data-mature clients. The company has not disclosed a conversion deadline, updated logo count, CMGalaxy revenue figure or dedicated investment budget, so future evidence of paid-client additions will be the key measure of progress.