What it means
A furniture retailer wants more showroom visits before a seasonal sale, so its media plan divides the budget among search, social, outdoor and other channels based on where likely buyers can be reached, and says what result will show whether the campaign worked. Salesforce describes audience, channel mix, allocation, scheduling, reach, frequency and measurement in media planning, while separating the plan from media buying.
Google's Reach Planner illustrates forecast audience estimates for some ad products, and such estimates need later comparison with actual results. Start with the objective, because awareness, qualified leads and store visits call for different channel choices and measures.
Define the audience by location, needs and behaviour rather than broad demographics, since an ad outside the service area wastes money, and map the decision journey so the message matches the stage; customers researching a high-price item may need multiple useful contacts before buying. Then check channels: search, social, video, radio and outdoor differ in audience, format, cost and measurability, so choose for fit, not fashion.
Specify placements, because "digital" is too broad for execution; identify platforms, formats and target geographies, and align video lengths, aspect ratios and copy limits with the creative brief. Allocate the budget by channel and time period, keeping production and media costs distinct, and avoid universal splits since a 50/30/20 allocation is only a choice, not a rule.
Plan timing realistically, as a sale campaign may peak before launch while an always-on service needs steady coverage, and include accessibility such as captions, readable text and relevant language versions. Set frequency and understand reach.
Too little exposure may be forgotten and too much may irritate or waste money, and platform frequency caps can reduce repetition although cross-platform caps may not align, so actual saturation should be monitored. Reach counts unique people exposed under a defined measurement method, while impressions count exposures and can be much larger, and the same person can see ads on several channels, so adding platform reach figures may overstate unduplicated reach.
Account for buying realities. A placement may sell out or an auction price may rise, so forecasts are not commitments until bought, and cost-per-click, cost-per-thousand impressions and fixed placements are different buying units that should be compared on outcome, not price alone.
Allow time for legal, brand and product approvals so a booking does not force unapproved copy, and protect privacy by following applicable law and platform terms and avoiding sensitive data without basis. Measuring carefully matters, because a click or impression may not equal an incremental sale, attribution depends on tracking rules and data quality, and cheap leads that never purchase may cost more than fewer qualified inquiries, so metrics should link to business value.
Set a pre-campaign baseline of traffic and sales, use geographic or audience experiments designed before launch where possible, and remember that holidays, promotions and competitors can still affect results. Leave room to optimise by defining what evidence will move budget between channels and who may approve the change, then compare actual spend, reach, frequency and outcomes with the plan and explain gaps rather than reporting only successes.
In practice
Real-world examples.
Example
A retailer times search and outdoor placements before a sale weekend. Search captures people already looking for furniture, while outdoor builds awareness near the showroom. The plan lists spend by channel and week so the owner can see where the money goes.
Example
A campaign caps video-ad frequency for a defined city audience. The team sets the cap in each platform and then checks actual saturation, because caps on different platforms may not align. Spend is moved away from the audience segment that is seeing the same ad too often.
Example
A team compares actual qualified leads with its pre-campaign plan after the sale. It reports spend, reach, frequency and outcomes against the forecast, and explains the gaps instead of reporting only successes. The comparison then informs next quarter's channel mix.
Formula
Calculation
Cost per thousand impressions = media cost / delivered impressions x 1,000. This is not cost per thousand unique people reached unless unique reach is measured.
Worked example: a fictional retailer spends $50,000 and delivers 2,000,000 impressions, so the cost per thousand impressions is $50,000 / 2,000,000 x 1,000 = $25. If measurement shows 800,000 unique people reached, the average frequency is 2,000,000 / 800,000 = 2.5 exposures per person, and the cost per thousand unique people reached is $50,000 / 800,000 x 1,000 = $62.50. The two cost figures differ because impressions count exposures while reach counts people.Case study
Seen in the real world.
Entirely fictional case: Orbit Furniture used an ad hoc mix around a sale season. Its new plan specified target buyers, placements, timing, costs and a qualified-visit measure before bookings were approved. The case does not assert leads grew or costs fell without measured results. For owners, the media plan makes advertising choices and trade-offs explicit before money is spent. Orbit's test is whether delivery and business outcomes justify those choices, and the plan names who may approve a budget move when the evidence points to a better channel.
Watch out
Common mistakes.
- Using impression counts as unique reach.
- Booking placements without matching objective, audience or approved creative.
- Judging success only by cheap clicks instead of qualified business outcomes.
Questions
People also ask.
What is a media plan?
A documented plan for audience, channel, timing, budget and measurement of advertising.
What does it include?
It should include objectives, target people, placements, costs, schedule and outcome measures.
Why use one?
It guides and evaluates spending; it does not guarantee reach or authorize buying by itself.
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