Think about your own work or business in this area: Blinky replaces spreadsheets and guesswork with an AI planner built for DOOH. What is the single biggest problem you have there right now? Be specific about what it costs you (time, money, customers) and what you have already tried.
10 fictional AI personas. Exploratory perspectives, not a survey of real customers. Methodology & limitations
Simulated interest
AI synthesis, not measured demand
Suggested price range
No numeric price estimates in the answers. Ask a pricing follow-up to collect them.
Response sentiment
What this panel suggests
The dominant pain point is manual reconciliation work: buyers are stitching together information from publisher portals, PDFs, emails, and internal spreadsheets to verify availability, pricing, and hold lists. That process is described as meticulous but inefficient, and the real cost is less about one isolated task than the cumulative drain on time and attention. Respondents say the admin burden crowds out higher-value work such as strategic planning, creative optimization, and customer growth. A second recurring concern is error risk: repeated copy/paste and cross-checking increases the chance of human mistakes, which can lead to wasted spend, missed placements, or avoidable rework. The responses also suggest some caution around automation. One objection flags skepticism that AI can handle the nuance and negotiation involved in DOOH buying, which points to a need for clear human oversight rather than a fully hands-off promise. Overall, the audience sounds frustrated with fragmented workflows, but the answers are about process pain and operational risk rather than pricing or explicit purchase intent.
Recurring themes
“The biggest problem is definitely the sheer amount of time I spend manually compiling data from publisher portals into spreadsheets.”Read Vernon Aufderhar’s response →
“It distracts from strategic planning and frankly, the constant back-and-forth in emails to track bookings is a nightmare.”Read Vernon Aufderhar’s response →
“I worry constantly about human error.”Read María Riojas Parra’s response →
Objections to investigate
- Skepticism regarding AI nuance and negotiation capabilities
Use these findings to plan customer interviews or experiments. How to interpret AI research
What the panel said
Click a name to open that persona’s full profile.
Vernon AufderharneutralThe biggest problem is definitely the sheer amount of time I spend manually compiling data from publisher portals into spreadsheets. It's meticulous, but incredibly inefficient. I've tried standardizing our internal templates as much as possible, but each publisher's portal is different, and cross-referencing availability and pricing across dozens of them for a single campaign easily takes hours, sometimes days. It distracts from strategic planning and frankly, the constant back-and-forth in emails to track bookings is a nightmare. I estimate this manual process costs us at least 10-15 hours per week across our small team, which translates to delayed campaign launches and potential revenue loss. I'm curious how an AI planner would handle these disparate data sources without requiring me to be the one to wrangle them first.
Simulated interest: 70/100
Jaime LebsackneutralMy biggest problem is the sheer amount of manual cross-referencing I have to do. I spend hours each week reconciling spreadsheets from our media buyer against actual location data and competitor activity using free mapping tools. This eats into time I could be spending on actual strategy or creative optimisation, and I worry we're missing out on better placements or overpaying because the data isn't consolidated. We’ve tried to build internal checklists, but it’s just not scalable for the speed we need. It feels like we’re always a step behind.
Simulated interest: 70/100
Emilio DöringneutralMy biggest challenge is the manual reconciliation of screen availability and budgets. I use a DOOH planning tool for discovery, but then I spend hours in spreadsheets cross-referencing hold lists, ensuring accuracy for 8-10 small brands. This is incredibly time-consuming, easily costing me 10-15 hours per week during busy periods, which translates to lost billable time and potential delays for clients. I've tried creating more robust spreadsheet templates, but the core issue remains the manual data entry and validation.
Simulated interest: 70/100
Edward SchmidtneutralThe biggest problem is the sheer amount of manual cross-checking required. I spend hours each week toggling between vendor sites and my spreadsheets to confirm screen availability and campaign timings. It's not just the time cost; it’s the risk of errors that could lead to wasted spend or missed opportunities. We've tried creating more detailed spreadsheets, but that just adds to the administrative burden. Honestly, anything that can streamline this and provide more accurate real-time availability data would be a significant improvement. The uncertainty around precise availability is what costs us the most in terms of potential lost revenue and my time.
Simulated interest: 75/100
Katherine HuelsnegativeHonestly, the biggest problem is the sheer amount of time I spend cross-referencing vendor PDFs with my spreadsheets for DOOH. It's tedious and frankly, I worry about small errors slipping through. For our local clients, especially restaurants and auto dealers, accuracy on pricing and availability is everything. I've tried having my team do more of it, but I still feel the need to personally vet every single one, which takes hours each week. It's a bottleneck to growing the business.
Simulated interest: 50/100
Axel BenoitneutralMy biggest pain point is the sheer amount of manual work involved in translating the data from our current planning platform into something client-ready. We spend hours exporting, manipulating spreadsheets, and creating custom map visuals. This isn't just time lost; it's hours my team and I could be spending on deeper strategic analysis or creative ideation. We've tried standardizing our export templates, but it only shaves off a small percentage of the time. The real cost is the opportunity cost – the strategic thinking we can't get to because we're bogged down in data wrangling and visual formatting.
Simulated interest: 60/100
Diksha SaininegativeThe biggest problem I face right now is the sheer amount of manual work involved in assembling our DOOH plans. I'm spending hours, probably 10-15 hours a week, juggling spreadsheets for screen counts, booking windows, and performance data, then trying to visualize it all on free mapping tools. It's incredibly time-consuming, and I worry about errors creeping in. We've tried standardizing our spreadsheet templates, but it's still a very fragmented process, and I can't be sure we're optimizing our spend to the fullest. The lack of a dedicated planning tool means a lot of guesswork when it comes to forecasting the actual impact of our campaigns.
Simulated interest: 75/100
Nelson KleinneutralThis 'AI planner' sounds like it might replace my spreadsheet and notebook, which is frankly a mess. The biggest problem is definitely the time it takes to get quotes and confirm screen availability, especially for big events like the F1 race. It means we miss out on good spots or end up with less ideal placements, which I'm sure costs us customers. I rely on my assistant for this, and she's swamped. I’ve tried calling reps directly, but it’s slow and hard to keep track of everything. I'm skeptical about AI – can it really haggle or understand the nuances of a neighborhood like a person can?
María Riojas ParranegativeThe biggest problem is definitely the manual data entry. Hours spent cross-referencing availability sheets, budget splits, and city coverage across Spain and Portugal for our team of four. It’s incredibly time-consuming and I worry constantly about human error. We've tried standardizing our internal spreadsheet templates, but the publisher data is still so varied and often delayed. This impacts our responsiveness to clients and delays bookings, especially when coordinating with Javier. It feels like such a waste of our team's time when we could be focusing on strategy.
Simulated interest: 70/100
Damon StammnegativeThe biggest problem is the sheer amount of time it takes to manually cross-reference availability and pricing. I'm juggling downloaded rate cards, scribbled notes, and free maps – it's a patchwork. Essentially, finding the right screen and confirming booking windows can eat up hours per campaign, and that's time I could be spending on strategy or client acquisition. It's not costing me customers directly, but the opportunity cost is significant, and frankly, it's a grind. I've tried to organise it with spreadsheets, but they get outdated so fast with media owners changing their offers.
Simulated interest: 70/100
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