Is Spreadsheet-based Campaign Management Obsolete Already?

6 min Read

Ad campaigns were/are managed by tracking & optimizing ad schedules. Rescheduling ads based on performance data. Managing estimated duplication in competing channel audiences. And making mid-campaign budget shifts between channels. All tracked on a single spreadsheet.

Advertising Trends - 2026

It all began with Television more than a couple of decades ago. TV viewership or program ratings data was a measure of the performance of the channel/program and was published multiple times a week. This performance data was diligently plotted by media planners with the help of a spreadsheet. And schedules & even channels were regularly changed as per relative performance.

Then came digital advertising where performance data was available in real time. Dedicated performance marketing planners would still use spreadsheets but on a far more frequent basis. They would track performance of buys & bids, initiate  reschedules, cancellations, new buys, &  switch budgets to alternate platforms. 

Because of the fast-paced changes, only the concerned planner was privy to the latest campaign status at any given point of time. (The rest of the team was typically informed after the campaign period was over or during billing, whichever came first.)

The New Advertising Order

All the above is fast becoming a relic of the past, because of three factors:

  1. Mushrooming Digital Ad Platforms:  It started with Yahoo, Google, followed by Facebook/Meta, Twitter (now X) & Linkedin. But today there are a few hundred well-used online platforms. And hundreds of e-Commerce platforms with Amazon being the biggest. Along with  hundreds of OTT platforms. (Netflix is arguably the most popular.) Each platform operates as an individual, walled chamber, with no chamber sharing data with any other.
  2. Increasingly Fickle Audience:  This generation is largely about abundance, where values have eroded. With more competitive  choices, values are dropping further, giving rise to an increasingly fickle target audience with the shortest attention span. As can be expected, the generation is simultaneously logged in (but not be active) in multiple platforms (chambers).
  3. Tighter Privacy Laws:  Until the individual privacy laws were tightened, there were still a few gaps in the ecosystem, via which advertisers could track consumers. Then privacy laws were tightened with “no cookie” policies,  GDPR, & its various versions for different markets including Bharat’s own DPDR. With this, the gaps were practically sealed. 
Platform Centric Ad Campaign Automation

Just for an idea of the level of automation of today’s ad platforms like Google, Meta, X (to name the leaders), here are 5 standard offerings of most ad platforms:

  1. Generate Ad Content: Based the brand’s website URL & other brand info, the platform generates multiple options of the following:
  • Draft ad copies
  • Images & videos
  • Call-to-action headlines  

     The final ad can be selected & edited before launching the automated campaign.

 

  1. Launch Campaign: Based on budgets, outcomes, target audience, market, & period, a dynamic campaign is launched within that platform – to get the optimum outcome within the budget. 
  1. Analyze Performance of Live Campaign:
  • Trends, audience sentiment, performance metrics are identified.  
  • Campaigns are constantly modified to maximise outcomes. 
  • Actionable insights are provided to adjust targeting & creative elements in real-time.
  1. Suggest Strategy For Better Targeting: Audience profiles are generated to assist in better targeting.
  2. Access Real-time Platform Data: To optimize targeting strategy. With such tools, every major platform will offer its own AI based “intelligent” system which can manage entire ad campaigns, end-to-end. In a way this was inevitable, with the humongous traffic & mushrooming platforms. Because the only way to manage when data points explode 1000x  is by using statistical models – the foundation of AI & AI-based campaign automation. But the catch is that optimization is restricted to inside each platform, whereas inter-platform optimization is a greater need.
Inter Platform Optimization?

Digital performance marketing is used to being operated by experts who monitor the performance & make minor & major tweaks, including switching budgets to alternative platforms. These switches are made to ensure that the brand’s desired outcomes are achieved at the lowest cost. 

But given the fast-paced action, this team ends up operating so independently that the rest of the agency has no idea of the current campaign status. They are informed at the end of the period or during each billing cycle (whichever comes first).
This opacity in campaign execution could be multiplied because of the multiple automated ad campaign managers running asynchronously (no coordination with each other). 

We hear from the pundits that “being present on multiple platforms gets the best outcomes.” Yes, but at what cost & inefficiencies? Going forward, what will be needed are automated options to quickly switch budgets between platforms based on real time inter-platform performance.

Welcome to the brave new world.

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