Traditional and Broadcast Advertising Case Studies
Marketing5 Case StudiesUpdated Sep 2026
Traditional and broadcast advertising still takes a large share of many brand budgets, even as planners weigh it against digital options. The five cases below come from working situations where a fixed budget, a shifting audience or a public reaction forced hard choices about spending and measurement. Each one follows the same arc: what the team faced, what evidence they had, how they reasoned through the options, and what changed. Throughout, the analysis returns to audience intent, channel performance, brand consistency, and conversion evidence, since those four questions decide whether a campaign earns its place.
Case Study 1
Splitting a fixed budget across a regional launch
Halden Bay Outdoor Gear, a regional outdoor equipment retailer with nine stores and an online shop that handles about a third of orders.
The situation
Halden Bay planned a spring launch for a new line of insulated camping gear, and marketing had a fixed budget of 340,000 dollars for the quarter. Leadership wanted the launch to reach people within a two-hour drive of the stores, where most walk-in sales happen. Ian, the marketing director, had three options on the table: a short regional television flight on two stations, a radio package on outdoor and talk formats, and a paid social and search program run from the online shop. Out-of-home placements along the highway corridor were also quoted. Previous launches had leaned on television, but the last two campaigns showed weak carry-through to the website.
The challenge
The budget covered roughly six weeks of television or a longer radio flight, but not both at meaningful weight. Ian needed to choose channels and audiences that a store manager and a finance lead could both defend, and he had to commit to a measurement plan before the buy went in. The question was not which channel was best in general. It was which combination would reach shoppers already considering a tent or sleeping bag purchase, and show whether those shoppers actually bought.
Analysis
Audience intent sorted the options more cleanly than reach figures did. Shoppers who search for a specific sleeping bag rating or compare tent weights are already in a buying frame, and paid search and the online catalog meet them there. Television and radio reach a wider group, many of whom are not planning a purchase this season, so their value depends on whether the brand message can shift a later decision. The team's sales data showed that walk-in buyers often arrived after a store visit, not after an ad, which suggested that broadcast mainly reinforced a brand they already knew.
Teams grounded in Traditional and Broadcast Advertising tend to weigh cost per thousand against cost per qualified visit, and Halden Bay did the same. The television quote was the most expensive per impression, and the earlier flights had produced little measurable lift in site traffic. Radio was cheaper and held the brand voice well, since the outdoor formats fit the product's tone. Paid social carried the clearest conversion trail but risked a short-term discount feel that the premium line did not need. Ian proposed a split: a smaller radio flight for consistency, a search and social program with a holdout group for conversion evidence, and one highway board to support store visits.
- Audience intent Match channels to what shoppers are already seeking.
- Channel fit Compare cost per qualified visit, not raw reach.
- Brand check Keep tagline and color consistent across every placement.
- Conversion proof Hold back a matched area to measure lift directly.
Actions taken
- Hold back one eighth of the search and social budget as a geographic holdout, so store and site sales in matched postal areas can be compared.
- Buy the radio flight on two outdoor formats in the two weeks before shelves are stocked, using the same tagline and color band as the packaging and in-store signage.
- Put the highway board near the two busiest store exits only, and load a store-specific phone number or code so that calls and visits can be traced back to the placement.
- Set a decision rule before launch: if the search program cost more than the agreed amount per completed online order against the holdout baseline, shift the reserve into radio in the final stretch.
Results
The launch ran the full quarter with the revised mix, roughly 58 percent of spend on paid search and social, 27 percent on radio, and the rest on highway boards. The holdout comparison showed a clear gap in completed online orders between treated and matched postal areas. Store traffic rose where the boards ran, though seasonal lift made that effect hard to isolate. Radio produced no measurable sales response alone, but store staff reported shoppers asking for the product by its tagline. The television flight did not return in the next plan.
Questions for discussion
- How should a team set the size of a holdout group when the budget is small enough that a cut in one region could affect the store plan?
- Which measurement signal would you trust more for a premium product, store visits tracked through codes or completed online orders against a holdout, and why?
- What would have to be true for radio to earn a larger share of the budget in the next launch?
Case Study 2
Repositioning a premium brand seen as quick service
Velden Coffee House, a regional café chain with twenty-two locations and a loyalty app used by about a fifth of regular customers.
The situation
Velden had spent three years describing itself as a slow, carefully sourced café, with a menu that featured small-batch beans and hand-poured filters. A brand tracking study run at the end of the previous quarter found that most people who knew the name placed it closer to a commuter stop than a destination. Respondents described the coffee as good but fast and inexpensive. The regional television spot and the transit posters had emphasized craft, but the store layouts, the drive-through lanes and the app's mobile-order prompts all pushed the other way. Eszter, the head of brand, had to decide whether the mismatch was a messaging problem or a product problem.
The challenge
The chain could not simply buy more airtime to fix a perception that its stores were built to reinforce. Eszter needed a proposition that fit how the shops actually ran at peak hours, that a regional audience would find credible, and that could be tested before the company committed to a rebrand of the storefronts. The board wanted evidence, not a new tagline, and the test budget was limited to one quarter of media.
Analysis
The research separated two groups that the brand had treated as one. Weekday commuters wanted speed and predictability, and their intent was a good coffee without a wait. A smaller group, mostly people who worked nearby, came for the room and the sourcing story. Velden's messaging had been aimed at that second group, yet most revenue came from the first. A craft promise pitched at commuters would read as a contradiction, so the real question was whether the brand could be premium in a way a commuter would accept without slowing the line.
Channel data pointed the same way. The transit posters and radio had carried the craft message for months, yet app data showed that mobile orders and the drive-through lane accounted for most of the transactions, and those channels carried no brand story at all. Brand consistency was poor across the funnel, not just in the media plan. The team looked at the conversion path and found that the menu board, which listed drip coffee first and the single-origin pour-over at the bottom, was steering people toward speed. A test needed to change the offer, not only the ad.
Actions taken
- Run a two-cell test in matched districts: one with a commuter-focused message about the morning blend and fast pickup, and one with a sourcing message aimed at the seated audience.
- Reorder the menu board in the test stores so the single-origin pour-over and the seasonal filter sit beside the drip option, with prices shown in the same size.
- Measure conversion through app orders and a simple receipt code, comparing average ticket and repeat visits over six weeks rather than raw footfall, which the chain had been counting.
- Hold the storefront redesign until the test reads out, and set a threshold in advance: a clear lift in repeat visits from seated customers without a drop in peak-hour throughput.
Results
The test ran for the full quarter across eight districts. The sourcing message lifted average ticket in the seated-leaning stores, with repeat visits from the app rising in the same group, while peak-hour throughput held steady. The commuter message produced faster pickup times but no change in the spend of new customers. The menu reorder carried most of the ticket gain, which told the team that the offer mattered as much as the wording. The board approved a phased storefront plan for only the stores that met the threshold, and the broader rebrand was pushed back.
Questions for discussion
- How would you judge whether a repositioning test has run long enough when the audience already holds a firm view of the brand?
- Where should a brand accept some loss in peak-hour speed to build a premium perception, and where should it refuse?
- What evidence would make you distrust a lift in average ticket that came mostly from a menu change rather than the message?
Case Study 3
Steady traffic, falling orders at a kitchen retailer
Brindle Kitchen Appliances, a regional appliance retailer with six showrooms and a web store for countertop and built-in kitchen equipment.
The situation
Brindle sells stand mixers, air fryers and built-in ovens through six showrooms and a web store. Over the last six weeks, sessions on the site held close to their previous level, but the order rate slid from about 2.4 percent of visits to 1.7 percent. The drop began in the same week the spring sale moved from a television flight to a mix of streaming video and radio, and no one had mapped what the new mix changed in the path to purchase. Tamsin, the e-commerce manager, was asked to explain the decline before the next budget meeting, and the agency had already proposed three new landing pages.
The challenge
Tamsin needed to avoid a reflex response. Adding more traffic would not fix a funnel that was losing people after they arrived, and rebuilding the whole site would take longer than the sale. She had to inspect the journey, the attribution model, the content on product pages and the technical side, then rank which experiments were worth the next four weeks of development time.
Analysis
Intent had shifted with the media mix, and the analytics did not show it clearly because the sessions were being counted the same way. Streaming and radio listeners were often in the early part of a kitchen purchase, comparing brands and reading reviews, and they arrived on a generic product page rather than the sale landing page the ads pointed to. Showroom visitors searched for specific models and delivery dates. The web audience had gone from people ready to buy a discounted mixer to people still deciding which mixer to want. A page built for the first group would lose the second.
Channel performance looked different once the attribution was split. Last-click credit gave most orders to branded search, which had barely moved, so the new audio flight appeared to contribute nothing. A view-through comparison showed that households exposed to the audio spots returned to the site later and converted at a similar rate, but the audio ads used a different price message than the landing page, which listed the sale end date a week earlier than the radio copy did. Brand consistency had broken at the handoff, and that mismatch was a plausible reason the order rate fell even though the ads were pulling people in.
Actions taken
- Split attribution by channel with a shared promo code for each flight, so audio, video and branded search each carry a traceable share of orders rather than one last-click total.
- Align the radio and streaming scripts with the landing page offer and end date this week, and retire any copy that quotes a price the site no longer shows.
- Build two product-category landing pages for mixers and ovens that open with comparison content for early-stage visitors, with a clear buy path lower on the page.
- Run a checkout friction review on mobile, timing each step from cart to payment confirmation, and fix the two slowest fields before any new experiment begins.
Results
Within four weeks, the mobile checkout fix alone recovered a visible share of the lost orders, and the revised audio copy stopped the price mismatch that had been confusing returning shoppers. The new comparison pages drew more time on page from early-stage visitors, though their direct effect on orders was smaller than hoped. Two experiments were dropped because the attribution split showed that branded search had been claiming credit it had not earned. The order rate climbed back to about 2.1 percent, still below the earlier figure, and the audio flight stayed in the plan as a demand driver.
Questions for discussion
- When a shared promo code and a last-click report disagree about a flight, which one should the team trust for the next budget decision, and what would settle it?
- How much weight should a team give to page speed fixes compared with changes to message, when both were possibly contributing to the same drop?
- What would you need to see in the comparison pages before deciding whether early-stage content belongs on product pages at all?
Case Study 4
Grocery spot backlash escalates across social channels
Ridgeway Fresh Grocers, a regional supermarket chain with eleven stores and a loyalty card used by most weekly shoppers.
The situation
Ridgeway ran a thirty-second television and streaming spot for its autumn produce promotion. The voiceover stated that every apple in the sale was grown within fifty miles of the stores. Within two days, a shopper posted photographs of bagged apples carrying origin stickers from another region, and the post spread across local social groups. A comment thread asked whether the spot was misleading. By the next morning, several accounts were calling for the ads to be pulled, and a regional news site had asked the company for a statement. The ad itself was still running in the evening block.
The challenge
Dariusz, the communications director, had to establish what was true before saying anything publicly. The apples might have been moved between distribution centers, the sticker might have been a shipping label, or the spot's claim might have described a single supplier. Each answer led to a different statement, and a wrong one would extend the story. Meanwhile the promotion's agencies and the store managers were all asking for guidance.
Analysis
Stakeholders wanted different things from the same post. Local shoppers wanted a straight answer about where their food came from, and many were acting on a thin piece of evidence, a sticker in a photo. Community accounts wanted the ad pulled, which is a demand for a visible outcome more than a correction. Store staff wanted to know what to say at the register. Ridgeway's own customers, the ones who had come for the apples, were mostly asking whether the sale price still held. Mapping those groups by what each needed first, not by how loud they were, shaped the order of replies.
The channels were behaving differently, and that mattered for the response. The television and streaming spot was still generating views, but the claim was now attached to its own clip in the comments, so every new impression carried the question with it. Shelf signage and the weekly circular repeated the same claim, which made the brand look consistent but also made it harder to correct without visible reversal. Conversion evidence was limited: sales of the promoted apples were roughly flat, suggesting the controversy had not yet reached purchase decisions, but the loyalty data would show it later if the claim stayed live.
- 1Map stakeholdersSeparate shoppers, community accounts, staff and news desks by need.
- 2Verify factsConfirm supplier records and lot history before any public wording.
- 3Coordinate messagesOne approved statement, shared with stores and agencies at once.
- 4Set recovery indicatorsTrack mentions, sentiment and apple sales against a fixed baseline.
Actions taken
- Pull the origin claim from the spot and shelf signage pending review, and say so in one plain sentence, without repeating the disputed wording.
- Ask the produce team for supplier records for the affected lot and the sticker printing run, and confirm the facts in writing before any public statement goes out.
- Give store managers a short holding note with the verified facts, the promotion's end date and a named contact, so staff answer the same way at every register.
- Post one reply on the original thread and the regional news site with the verified facts, then track sentiment and mentions every morning for two weeks before scaling down.
Results
The supplier records showed that the apples came from a regional packer that had sourced some stock from a more distant grower during a short shortage, which made the original claim accurate for most of the promoted lots but not all. Ridgeway pulled the claim, said so plainly, and gave the verified breakdown. Mentions peaked in the first two days after the reply and fell below the earlier daily level within the second week. Apple sales in the affected stores recovered by the end of the promotion, and the team added a sourcing review to the next spot's approval step.
Questions for discussion
- When a claim is partly accurate, how should a retailer decide which parts to correct publicly and which to leave for a private reply?
- Which stakeholder's silence would worry you most during the first two days, and what would you do to reach them?
- How would you test whether a plain correction is reducing the story or simply giving it a second news cycle?
Case Study 5
Uneven content results across a pet retailer's library
Calloway Pet Supply, a regional pet retailer with a blog, a quarterly print catalog and short video series used in stores and on social channels.
The situation
Calloway's content library had grown by accretion. Over several years, the team had published around 1,200 articles, about 80 short videos and four print catalogs a year, with no shared standard for how each piece was briefed, reviewed or refreshed. A quick audit showed that a small set of guides on dog nutrition and cat litter brought in most of the organic search visits, while many older pages on exotic pets and seasonal gift ideas had no visits in the previous quarter. Quality varied as well: some pieces carried the brand's voice closely, others read like product copy. Pradeep, the content lead, was asked to bring a refresh plan to the next planning meeting.
The challenge
Pradeep could not refresh everything. The library held more pages than the team could review in a year, and some of the weakest pages still ranked for terms that brought in parents of new puppies. He needed a way to decide which topics, formats and pages to keep, rewrite, merge or retire, and an approval path that would stop weak drafts from reaching the site again.
Analysis
Search intent was the clearest sorting tool. Queries about a specific food problem, such as a dog with loose stools after a diet change, signaled someone who needed a decision within the day, and a guide that answered the question first and linked to products second served that reader well. Queries about an exotic species, a seasonal gift or a general pet care topic often came from people still browsing. Several older pages matched informational queries but answered them with a product pitch, which pushed readers away. The audit therefore asked of each page what the searcher was trying to finish, not only whether the topic was popular.
Formats performed unevenly. Video clips earned the most shares but few store visits, while the quarterly catalog, which was still printed in limited runs, showed the strongest link to in-store purchases when a catalog code was used at the register. The brand voice varied enough that customers could not tell which pieces were official guidance and which were promotional copy. Where the team had tracked conversion evidence, the pages with a clear next step, such as a store locator or a starter kit, converted at roughly twice the rate of pages that ended with a product grid.
- Week oneAudit traffic, search intent and conversion per page.
- Weeks two and threeMerge overlapping guides and retire pages with no demand.
- Week fourRewrite top pages with next steps and checklist approvals.
- End of monthReview conversion evidence and set the next refresh list.
- Next quarterRepeat the audit with new search queries and updated pricing.
Actions taken
- Merge the three overlapping guides on puppy feeding into one page with a single owner, and redirect the weaker copies so search credit consolidates on the stronger URL.
- Retire exotic-pet and seasonal gift pages with no visits in the previous quarter and no inbound links, keeping their topics only where a store section needs them.
- Add a short style checklist and a two-step approval, with a product-claim check by the buying team, before any piece moves from draft to the site or the print proof.
- Rewrite the top twelve pages by traffic first, adding a clear next step such as a store locator, and review conversion evidence at the end of each month.
Results
The first refresh cycle covered the high-traffic guides and the merged puppy page. Search visits to the consolidated page rose within six weeks, and the redirected URLs passed most of their earlier ranking. Retired pages were removed without a drop in store visits, since none had been driving them. The approval checklist caught product claims in about one draft in five during the first month, which the buying team said was worth the extra step. The library is now about a third smaller, and the team reports a clearer voice across the pages customers see most.
Questions for discussion
- When a library is too large to refresh in full, what evidence should outrank traffic in deciding which pages get attention first?
- How would you decide whether a retired page's topic still deserves a place in the store experience or only in a shelf card?
- Where should a brand allow a looser voice, such as video, and where should the approval checklist apply without exception?
Learning Resources
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