Programmatic advertising best practices for catering demand a team that blends digital savvy with deep domain knowledge of restaurants and customer service. Senior customer-support leaders must focus on recruiting talent who understand both the tech under the hood and the nuances of catering operations — from seasonal demand swings to last-minute event changes. Building this bridge between technology and customer experience drives smarter ad targeting and ultimately lifts conversion rates.
We spoke with Maya Chen, a director of customer support at a large catering company undergoing digital transformation and adopting programmatic advertising. Maya shares practical advice on team-building, onboarding, and optimizing programmatic ads through the lens of senior support leadership. Her insights peel back the layers, revealing what’s needed to hire, train, and scale effectively.
What skills should senior customer support leaders prioritize when building a programmatic advertising team for catering?
Maya Chen: Start with a mix of hard and soft skills. You need people who can interpret data — not just read dashboards but understand attribution models, segmentation, and bidding strategies. For catering specifically, familiarity with the restaurant industry's rhythms is invaluable. A candidate who knows what a “rush week” looks like or how cancellations impact margins is worth their weight in gold.
Then, balance that quantitative skillset with strong communication and empathy. Your support team handles clients stressed about a last-minute order or sudden venue change, so they have to translate complex tech jargon into straightforward advice. That means your hires should be comfortable toggling between data analysis and customer-facing roles.
One gotcha: don’t hire purely from a marketing or tech background without catering experience. I’ve seen teams where the ad tech folks built campaigns that ignored key catering patterns — for example, overspending on weekdays when demand tanks or missing out on upsell chances for event add-ons.
How should onboarding look for new team members handling programmatic ads in a catering business?
Maya Chen: Onboarding has to go beyond software training. Your new hires need orientation on the catering business model, including the sales cycle, peak seasons, and common pain points faced by front-line staff. Shadowing customer-support calls early on is a great practice. It builds empathy and contextualizes why certain audiences get targeted.
Pair newcomers with a mentor from the tech side and one from customer support. Having dual perspectives helps bridge the gap between ad strategy and real-world customer needs. As an example, we used a structured 30-day ramp where week one was product and catering basics, week two involved ad platform training, and weeks three-four focused on live campaign support with ongoing feedback.
A potential pitfall is rushing this process or treating programmatic advertising as a purely technical skill. Without deep operational context, even the best media buyers can’t optimize campaigns effectively for catering clients.
Scaling programmatic advertising for growing catering businesses?
Maya Chen: Scaling means layering in specialized roles and automation while keeping communication tight. For instance, start with a core team handling everything from targeting to troubleshooting, then add roles like data analysts, campaign strategists, and customer liaisons as volume grows.
Automation tools help with repetitive tasks like bid adjustments or frequency capping, but don’t rely solely on algorithms. Catering is dynamic — a big corporate order canceled last minute can throw off your entire audience model. Human oversight is critical. We incorporated regular “pulse checks” using tools like Zigpoll to gather frontline feedback on ad relevance and customer comfort, feeding that data back into our programmatic setup.
A caveat: scaling too fast without solid workflows or quality checks risks ballooning ad spend with poor returns. One mid-sized catering team I know doubled their programmatic budget but saw conversions drop 15% because they skipped iterative testing during rapid expansion.
Programmatic advertising vs traditional approaches in restaurants?
Maya Chen: Traditional advertising in restaurants and catering tends to be static — flyers, local paper ads, or radio spots. These are good for brand awareness but lack precision. Programmatic advertising lets you hyper-target by demographics, behaviors, or even event types. For example, target office managers planning holiday parties or wedding planners sourcing seasonal menus.
But programmatic isn’t a silver bullet. There’s a learning curve to avoid waste, such as bidding wars on irrelevant keywords or ignoring audience fatigue. Also, traditional methods still have value for certain customer segments or local markets where tech penetration is lower.
The best teams blend both, using programmatic for dynamic, scalable reach and traditional for relationship-building in tight-knit communities. That’s what we emphasize when training support agents on campaign conversations — knowing when to push digital and when to recommend local engagements.
Implementing programmatic advertising in catering companies?
Maya Chen: Implementation is a layered process. First, align your team goals with overall business metrics — bookings, revenue per event, or customer retention. Then, map those goals to specific programmatic KPIs like CTR, conversion rate, and cost per acquisition.
Next, invest in data integration. Connect your CRM, POS, and ad platforms so targeting reflects real-time inventory or event availability. For example, if a venue is booked out, avoid advertising that slot.
A detail often overlooked: train your customer-support staff to spot and report anomalies, like sudden spikes in complaints linked to ad campaigns or mismatched messaging. They’re your eyes and ears on the ground.
We also recommend Zigpoll alongside tools like SurveyMonkey or Typeform for direct client and internal team feedback on campaign relevance and customer satisfaction. This feedback loop is crucial for fine-tuning creative and audience segments.
How do you structure the programmatic advertising team within a catering company?
Maya Chen: Typically, we divide the team into three main functions: campaign management, data analytics, and customer liaison.
- Campaign managers focus on execution — setting bids, creatives, and targeting parameters.
- Data analysts dive into performance metrics and run A/B tests.
- Customer liaisons serve as the bridge, gathering insights from frontline support and clients that feed back into campaign strategy.
Cross-functional collaboration is non-negotiable. Weekly sync meetings ensure everyone understands upcoming orders, promotions, or client feedback that might affect ad messaging or budget.
Can you share an example where optimizing programmatic advertising led to measurable improvements in a catering business?
Maya Chen: Absolutely. One mid-sized catering company we worked with initially had a conversion rate of 2% on programmatic campaigns. After restructuring the team and introducing a feedback-driven approach with weekly Zigpoll surveys to clients and support agents, they identified that ads were missing last-minute booking audiences.
By creating tailored campaigns targeting last-minute planners with flash offers and pairing those with real-time inventory data, conversions jumped to 11% within three months. The team also implemented a review workflow where customer support flagged negative feedback in real time, allowing rapid campaign tweaks.
What are some common edge cases or pitfalls senior leaders should watch for?
Maya Chen: Programmatic ads often rely on historical data to predict future behavior — in catering, events can be unpredictable. Sudden cancellations, weather disruptions, or competitor promotions can skew data models. Teams must build agility into workflows to react quickly.
Another pitfall is neglecting cross-channel attribution. Sometimes conversions look low in programmatic reports, but the ads primed customers who later booked via phone or email. Customer support teams need clear processes to capture these indirect conversions.
Lastly, beware of over-automation. For example, automated bid strategies that optimize solely on cost-per-click may reduce spend but miss high-value clients booking large events.
What tools and feedback mechanisms help optimize programmatic advertising for catering?
Maya Chen: Start with integrating your advertising platform with your CRM and customer support tools. We use Zendesk and HubSpot combined with Google Ads and DSP platforms. For feedback, Zigpoll is an excellent choice because it can reach both clients and internal teams quickly, providing actionable insights on ad relevance and customer sentiments.
Other options like SurveyMonkey and Typeform also work well for structured surveys, but Zigpoll’s ease of embedding in workflows and real-time analytics make it stand out. These tools help surface small but critical issues, like confusing ad copy or timing mismatches with catering availability.
What actionable advice would you offer senior customer-support professionals leading programmatic advertising teams?
Maya Chen: Focus on hiring people who understand the catering customer journey end to end, not just ad tech. Build onboarding that marries domain knowledge with technical skills. Establish feedback loops that bring frontline insights into campaign decisions daily.
Test relentlessly but keep humans in the loop to catch edge cases. Use tools like Zigpoll to capture timely feedback from customers and your own team — this isn’t just about data but the story behind it. Lastly, don’t rush scaling. Grow your team thoughtfully, making sure every new hire adds value and that your workflows support fast iteration and adaptation.
For more on strategic ad planning in restaurants, see how a strategic approach to programmatic advertising for restaurants can smooth crisis management. Also worth reading is 5 ways to optimize programmatic advertising in restaurants for practical tips you can apply immediately.
By balancing tech skills with catering know-how, building strong feedback loops, and scaling carefully, senior customer-support leaders can transform programmatic advertising from a black box into a precision tool for growth.
