EMPERIOStrategy & Research Lab
Case room

Back streaming or events for a Mumbai publisher?

Before the decision

Advertisers ask for measurable engagement and editors have a strong events following. An event attracted several long-standing readers and new sponsors. The publisher has not yet shown whether those relationships carry across to paid streaming.

The problem

Should the team choose Paid streaming or Live events for the next 12 months?

Decision owner: The business unit lead.

Streaming demand may be broad but cheaper to cancel after a campaign.

Option economics

Scroll the table to see all figures.

Simulated inputs for 12 months
OptionVolume (paid transactions)₹ per unitFixed costNet contribution
Paid streaming2,50,00031₹63 lakh₹14.5 lakh
Live events52,000162₹65 lakh₹19.24 lakh

Make the call

  1. Calculate net contribution for Paid streaming and Live events. Which assumption makes the comparison most fragile?
  2. If the leading option delivers 10% fewer paid transactions, does your recommendation change?
  3. What evidence would you ask for before the team makes an irreversible commitment?
Reveal the worked solution

Start by validating Live events. It contributes ₹19.24 lakh after fixed costs and leads by ₹4.74 lakh. Treat that gap as the amount of unmodelled cost or lost contribution the option can absorb before the ranking reverses.

  1. Frame the decision

    Compare the alternatives using the same period and test the cost of committing scarce resources. Check working capital and cash timing separately before funding either option.

  2. Calculate both options

    Paid streaming: 2,50,000 paid transactions × ₹31 less ₹63 lakh in fixed costs gives ₹14.5 lakh. Live events: 52,000 paid transactions × ₹162 less ₹65 lakh in fixed costs gives ₹19.24 lakh.

  3. Stress-test the forecast

    Live events leads by ₹4.74 lakh in the base case. If Live events delivers 10% fewer paid transactions (46,800) at the same margin and fixed cost, it contributes ₹10.82 lakh. Holding the other option constant, the stressed result falls behind. This isolates volume risk. Check whether both options would respond to the same change in demand.

  4. Set a decision threshold

    Holding the other option’s result fixed, Live events needs at least 49,075 paid transactions to match or beat it under the model. Compare repeat purchase and cash commitment across seasons.

Streaming demand may be broad but cheaper to cancel after a campaign. Compare the cost of a limited test with the loss the business would face if the full commitment failed. Ask the team to agree the decision criterion before collecting more evidence.

What if the whole market moves?

The worked solution tests a change to one option at a time. Here, both options gain or lose the same percentage of volume. Unit contribution and fixed costs stay constant.

Simulated contribution after fixed costs
Volume scenarioPaid streamingLive eventsHigher contribution
Both lose 10% of volume₹6.75 lakh₹10.82 lakhLive events
Base assumptions₹14.5 lakh₹19.24 lakhLive events
Both gain 10% of volume₹22.25 lakh₹27.66 lakhLive events

Explain which option you would take forward. Check whether capacity, price or customer mix would also change as the market moves.

Review the underlying lesson