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Marketing reporting and analytics

Every ad channel's results, in one report.

BEFORE ITAFTER ITMarketing reportingand analyticsClarisightsIntentwiseCOVERSChannel connectorsOne reportRupee totalsName mappingDemand-side platform (DSP)sendscampaignresultsRetail media networksendsmarketplacead resultsMobile measurementpartner (MMP)sendsinstallsper adfills thedashboardsBusiness intelligence(BI) dashboards↗ BUSINESS INTELLIGENCEsuppliesspendinghistoryMarketing mixmodelling (MMM)BEFORE ITAFTER ITMarketing reportingand analyticsClarisightsIntentwiseCOVERSChannelconnectorsOne reportRupee totalsName mappingDemand-sideplatform (DSP)sendscampaignresultsRetailmedia networksendsmarketplacead resultsMobilemeasurementpartner (MMP)sendsinstallsper adfills thedashboardsBusinessintelligence(BI) dashboards↗ BUSINESSINTELLIGENCEsuppliesspendinghistoryMarketing mixmodelling (MMM)BEFORE ITDemand-side platform (DSP)↓ sends campaign resultsRetail media network↓ sends marketplace ad resultsMobile measurement partner (MMP)↓ sends installs per adMarketing reporting and analyticsClarisightsIntentwiseChannel connectorsOne reportRupee totalsName mappingAFTER IT↓ fills the dashboardsBusiness intelligence (BI) dashboards↗ BUSINESS INTELLIGENCE↓ supplies spending historyMarketing mix modelling (MMM)
Marketing reporting receives campaign results from the demand-side platform, retail media networks and the mobile measurement partner, and sends one cleaned set of figures to business intelligence dashboards and marketing mix modelling.
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Marketing reporting and analytics is software that collects a marketer's campaign results from every advertising channel and puts them into one set of reports. Each channel reports its results in its own format, with its own names and its own definitions. The software brings them together, so that the marketer can compare them fairly. It is also called a marketing data platform or marketing analytics software.

Why is this hard? A brand may advertise on search ads, social media, YouTube, two shopping marketplaces and a demand-side platform (DSP), all at once. Each of these has its own dashboard. One counts a sale if the buyer clicked the ad in the last 7 days. Another counts it if the buyer only saw the ad in the last day. One reports in dollars and another in rupees. The same campaign may have six different names in six places. Without one report, the marketing team downloads spreadsheets every morning and joins them by hand.

The software connects to each channel's system directly and downloads the results automatically every few hours. It converts all the money into rupees. It maps each channel's campaign names to the brand's own names, such as "Summer sunscreen launch". It also adds the brand's own sales data, so that the report shows actual orders next to what each channel claims.

Imagine a skincare brand in Mumbai that sells on its own website and on two marketplaces. On Monday morning, its performance marketing manager opens one report. It shows last week's spending of ₹18 lakh across six channels. Together, the six channels claim 9,400 orders. But the brand's own records show only 6,100 orders. The difference exists because two channels count the same buyer. The report also shows that ads on one marketplace's retail media network cost ₹160 per order, while social media ads cost ₹310. The manager moves ₹2 lakh of next week's budget to the marketplace.

The reports feed other tools. App install figures arrive from the mobile measurement partner (MMP). Weekly spending by channel goes to marketing mix modelling, which needs a long and clean history. Many companies also copy the data into their business intelligence dashboards, so that the finance team sees the same numbers as the marketing team.

How is it different from attribution? Reporting collects and cleans what each channel says. It does not decide which ad really caused a sale. That is the job of attribution and of marketing mix modelling.

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