24/7 banner design tools: how to build an always‑on creative production capability

Running a 24/7 banner design operation is no longer a nice‑to‑have for large advertisers.

With U.S. digital ad revenue reaching $258.6 billion in 2024, up 14.9% year over year, production demand keeps climbing while headcount stays flat. That figure comes from the IAB Internet Advertising Revenue Report 2024 (Interactive Advertising Bureau, 2024, https://www.iab.com/news/digital-ad-revenue-2024/).

To keep up, teams are turning to creative automation platforms for display advertising, cloud‑based banner design tools, and global “follow‑the‑sun” workflows. This guide explains how to design an always‑on operation, which features to look for, and where a specialized HTML5 ad production platform like Viewst fits alongside alternatives such as Celtra, Bannerflow, Smartly, and Adobe.

Note: This article is an independent, educational overview. Viewst is used as a primary example, but we include neutral comparisons to other creative automation tools for display advertising.

Why 24/7 banner production is now a competitive requirement

Three macro trends are pushing creative teams toward always‑on operations:

• Paid media keeps growing.
  The IAB reports $258.6B in U.S. digital ad revenue in 2024, up 14.9% year over year (Interactive Advertising Bureau, Internet Advertising Revenue Report: Full Year 2024, 2024, https://www.iab.com/news/digital-ad-revenue-2024/).

• Workloads are rising faster than headcount.
  Adobe’s State of Creativity 2024 notes that 83% of decision makers saw employee workload change in the prior 12 months, and 75% plan to invest in tools/software to handle rising workloads (Adobe, State of Creativity: 2024 Report, 2024, https://www.adobe.com/content/dam/cct/resources/whitepapers-ebooks/state-of-creativity/Adobe_StateofCreativity_Report_2024_FV.pdf).

• Automation and AI have become baseline.
  Smartly’s 2024 Digital Advertising Trends study found:

  • 96% of respondents investing in creative automation

  • 96% investing in or testing generative AI

  • 78% saying they lack the right tools

  • 66% struggling with the growing number of channels/platforms
    (Smartly.io, 2024 Digital Advertising Trends, 2024, https://www.smartly.io/resources/2024-digital-advertising-trends).

At the same time, Celtra and Digiday report that 73% of 111 brand/agency professionals already use generative AI tools for design and production and 67% expect to expand AI/automation usage (Celtra, Inside the Creative Workflows of Top Marketing and Creative Teams, 2024, https://celtra.com/resource/inside-the-creative-workflows-of-top-marketing-and-creative-teams/).

In this environment, a 9‑to‑5 production team working from disconnected files is no longer enough. You need a 24/7 banner production follow‑the‑sun model with:

• Global teams working in shifts

• Cloud‑based banner design tools as the shared workspace

• Automated ad format conversion tools (smart resize) to remove repetitive work

• Clear uptime and SLA expectations for the platforms your teams depend on

What 24/7 banner design operations actually mean

A true 24/7 operation is not about burning out one team. It’s about follow‑the‑sun production: work moves across time zones so someone is always progressing the campaign.

Microsoft describes this model in its SaaSplaza case study as a way to provide 24/7 support while avoiding late shifts in a single location (Microsoft, SaaSplaza: Follow The Sun Support Model, 2022, https://partner.microsoft.com/en-au/case-studies/saasplaza). Atlassian echoes the same logic for support and engineering.

Applied to banner ad production, follow‑the‑sun means:

• Shared production system: a single cloud platform (e.g., Viewst, Celtra, Bannerflow) where all banner sets live.

• Explicit handoffs: status, assignees, and deadlines are visible so any region can pick up exactly where the last left off.

• Master creative as source of truth: no more duplicated files; one master asset drives all variants.

• Embedded collaboration: comments and approvals live next to the creatives, not scattered across email and chat.

Without that production infrastructure, global coverage just multiplies chaos.

Core building blocks of an always‑on banner production capability

1) Cloud‑based banner design tools as the production backbone

24/7 production is impossible if your banners are stuck in local files. You need cloud‑based banner design tools that provide:

• Browser‑based HTML5 editor (no desktop installs)

• Version history and rollback

• Multi‑user access with roles/permissions

• SSO and enterprise security

Platforms like Viewst, Bannerflow, and Celtra position themselves as cloud studios that sit between design tools (Figma/Adobe) and media platforms (DSPs/ad servers).

Viewst, for example, is an HTML5‑native ad production platform designed as infrastructure for creative and advertising teams. It focuses specifically on the high‑friction layer of scaling, animating, approving, and exporting ad‑ready HTML5 assets (Viewst, Product Overview, 2026, https://viewst.com/).

2) Automated ad format conversion (smart resize)

A 24/7 operation fails if designers spend their nights manually resizing.

Smartly.io’s research shows 44% of marketers struggle to personalize creative to platform‑specific specs and 58% struggle to source campaign assets (Smartly.io, 2024 Digital Advertising Trends, 2024). That’s exactly where automated ad format conversion tools matter.

Look for creative automation software for display advertising that supports:

• AI Smart Resize: generate all required sizes from one master banner.

• Layout intelligence: protects hierarchy and key visuals instead of naive stretch/shrink.

• Linked variants: content changes in the master propagate across sizes.

Viewst’s AI Smart Resize is a clear example.

You build a master HTML5 banner, then auto‑generate a full set of IAB and custom sizes.

Updates to the master can sync across the set, preventing divergence and late‑night fire drills.

3) Integrated banner ad approvals workflow automation

24/7 production only works if approvals aren’t stuck in someone’s inbox.

Bannerflow explicitly points out that creative collaboration breaks when feedback is scattered across email threads, so they offer in‑context comments, live previews, and version control (Bannerflow, Collaboration Features, 2025, https://www.bannerflow.com/features/collaboration). Adobe’s enterprise Creative Cloud highlights a similar pattern with Frame.io and cloud libraries (Adobe, Adobe Creative Cloud for Business Overview, 2024, https://business.adobe.com/products/creativecloud-business.html).

In a follow‑the‑sun ad production workflow, your approval system should:

• Let stakeholders comment directly on specific sizes or the whole set

• Expose status (In progress / In review / Approved / On hold)

• Support deadlines and assignee fields

• Provide shareable preview links for non‑designers (e.g., media teams, local markets)

Viewst’s creative reviewing flow includes all of these: comments on creatives or specific sizes, status/deadline control, and guest preview links (Viewst, Creative Reviewing, 2026, https://viewst.com/help-center/creative-reviewing/).

4) Master creative + brandbooks as a single source of truth

Modern creative automation platforms for display advertising converge on one key pattern:

Design one master, generate many.

Instead of dozens of independent files, the master creative governs all variants. This pattern appears in:

• Viewst (master banners, AI Smart Resize, brandbooks)

• Celtra (modular templates and design systems)

• Bannerflow (dynamic templates and shared libraries)

Viewst, in particular, treats brandbooks as locked styling systems tying together typography, color, and spacing. These propagate across campaigns and markets, reinforcing brand consistency while automation scales output (Viewst, Brandbooks, 2026, https://viewst.com/).

For an always‑on operation, this matters because:

• Regional teams can safely adapt copy and local promotions

• Core design and brand rules remain enforced automatically

• Late changes to a master (e.g., updated CTA) cascade globally

5) Collaboration and follow‑the‑sun handoffs inside the platform

Follow‑the‑sun creative production only works when handoffs are explicit. You need:

• Assignee management: who owns the next step?

• Task statuses: what stage is each banner set in?

• Time‑zone aware scheduling: when is the next team online?

• In‑platform comments: context carried with the asset, not in Slack screenshots.

Viewst’s team workflows include roles/permissions, status/deadline control, and assignee management, plus SSO for enterprise teams (Viewst, Pricing & Plans, 2026, https://viewst.com/pricing).

This kind of structure allows a U.S. team to hand off a partially built banner set to APAC with:

• Status: “Animation in progress”

• Assignee: “APAC motion designer”

• Deadline: “08:00 GMT”

• Comment thread summarizing remaining tasks

By the time U.S. teams log back in, the set is animated, localized, and ready for QA.

Creative automation platforms for display advertising — feature comparison

When you evaluate creative automation tools for display advertising, focus on HTML5 support, smart resize, approval workflows, brand governance, and uptime/SLA.

Below is a high‑level, directional comparison of five widely used platforms. Details change frequently; always verify with the vendor for current specs.

| Platform | HTML5 native output | Smart resize / auto formats | Approval workflow | Brandbooks / design systems | Uptime / SLA (typical claims) | Integrations (examples) | Pricing tiering (public info) |

|-----------|---------------------|-----------------------------|-------------------|-----------------------------|------------------------------|-------------------------|--------------------------------|

| Viewst | Yes (editable HTML5 banners) | Yes (AI Smart Resize from one master) | In‑platform comments, statuses, preview links | Yes (brandbooks with locked styles) | Enterprise plans typically target 99.9%+; custom SLAs for Enterprise | Figma, Adobe import, ad servers/DSPs via exports | Plus (collab), Premium (analytics), Enterprise (custom) | | Celtra | Yes (HTML5 and video ad formats) | Yes (template‑based scaling) | Built‑in review and collaboration | Yes (modular design systems) | Enterprise‑grade uptime; SLAs via contracts | Ad servers, DSPs, DAMs | Enterprise/volume‑based, custom contracts | | Bannerflow | Yes (HTML5 creative suite) | Yes (dynamic templates and scaling) | In‑context comments, live previews | Yes (brand and asset libraries) | Cloud SaaS uptime, often 99.9% targets | Ad networks, DSPs, CMS | Licenses for brands and agencies, custom quotes | | Smartly.io | Focus on video/social; HTML5 support via partners | Creative automation for social/display placements | Workflow management and approvals | Creative templates, brand governance features | 99.9%+ typical for enterprise SaaS | Meta, TikTok, Google, other media APIs | SaaS tiers with custom enterprise plans | | Adobe (e.g., Express, CCB) | HTML5 via tools like Adobe Animate or 3rd‑party | Some auto‑layout; less banner‑specific | Frame.io and shared libraries | Brand kits and Creative Cloud Libraries | Global cloud infrastructure, 99.9%+ typical | Deep integration across Adobe suite | Per‑seat plus enterprise licenses |

Sources:

• Viewst, Pricing & Features, 2026, https://viewst.com/pricing

• Celtra, Product Overview, 2025, https://celtra.com/

• Bannerflow, Features & Collaboration, 2025, https://www.bannerflow.com/features/collaboration

• Smartly.io, Product Overview, 2024, https://www.smartly.io/

• Adobe, Creative Cloud for Business, 2024, https://business.adobe.com/products/creativecloud-business.html

Use this table as a starting point for your own creative automation platforms for display advertising tools features comparison.

Best software for creating and managing display ads

If you are searching for the best software for creating and managing display ads, here are six widely adopted options with quick pros/cons.

1) Viewst

• Best for: HTML5‑native banner production teams that want infrastructure between Figma/Adobe and ad servers.

• Pros:

  • AI Smart Resize, AI Image Deflatening, AI Instant Animator

  • Native editable HTML5 output (not just flat images)

  • Brandbooks, in‑platform review, master‑based workflows

• Cons:

  • Focused on display/HTML5; not a general design suite

2) Celtra

• Best for: Enterprise marketing teams with complex, omnichannel creative operations.

• Pros:

  • Mature enterprise stack with templates and automation

  • Strong collaboration and brand system capabilities

• Cons:

  • Typically enterprise‑priced; may be heavy for smaller teams

3) Bannerflow

• Best for: Brands and agencies aiming for centralized banner and campaign management.

• Pros:

  • Cloud‑based creative suite with collaboration features

  • Supports localization and dynamic creative workflows

• Cons:

  • Focused on banners; broader creative tasks may need other tools

4) Smartly.io

• Best for: Performance marketing teams heavily invested in paid social and programmatic.

• Pros:

  • Deep media integrations and creative automation

  • Strong support for data‑driven creative optimization

• Cons:

  • Display banners are one part of a broader media‑first toolset

5) Google Web Designer

• Best for: Teams tied closely to Google Ads and DV360.

• Pros:

  • Free tool with strong support for Google formats

  • HTML5 animation capabilities

• Cons:

  • Desktop application; less suited to cloud collaboration and approvals

6) Adobe Creative Cloud + add‑on platforms

• Best for: Craft‑driven teams needing full creative control plus separate production tools.

• Pros:

  • Gold standard for design (Photoshop, Illustrator, After Effects)

  • Cloud storage and libraries for enterprise

• Cons:

  • Requires separate systems for banner production at scale

In practice, many enterprise teams pair Adobe or Figma for master design with a specialized production tool like Viewst, Celtra, or Bannerflow to handle scaling, localization, and approvals.

Uptime, SLA and performance expectations for ad production platforms

A 24/7 operation lives or dies based on platform availability. Here are realistic targets and sample SLA concepts you can adapt.

Typical uptime targets

For mission‑critical creative automation platforms for display advertising, enterprises usually expect:

• 99.9% monthly uptime ("three nines") as a baseline
  – max downtime ≈ 43.8 minutes per month

• 99.95% for more stringent environments
  – max downtime ≈ 21.9 minutes per month

These numbers align with common SaaS SLAs across marketing tech. Vendors like Adobe and large creative platforms often commit to at least 99.9% for enterprise plans (Adobe, Service Level Objective Documentation, 2024).

Incident response and support SLAs

When negotiating SLAs for a platform like Viewst, Celtra, or Bannerflow, specify:

• P1 (critical) incidents

  • Example response: within 15–30 minutes

  • Example resolution target: 4–8 hours

• P2 (high) incidents

  • Example response: within 1 hour

  • Example resolution target: 1 business day

• P3/P4 (normal/minor)

  • Example response: within 4 business hours

  • Example resolution target: 3–5 business days

Maintenance windows

To support follow‑the‑sun ad production workflow, your SLA should:

• Restrict planned maintenance to specific windows (e.g., Sundays 02:00–04:00 UTC)

• Limit total planned downtime per quarter

• Require at least 7–14 days’ notice for disruptive changes

Redundancy, DR, and monitoring expectations

An always‑on setup should insist on:

• Multi‑AZ or multi‑region deployment for the production platform

• Regular backups and a documented disaster recovery (DR) plan

• RPO/RTO targets (e.g., RPO ≤ 1 hour, RTO ≤ 4 hours)

• Real‑time monitoring and alerting, including:

  • Synthetic checks from multiple regions

  • Performance baselines for key workflows (open editor, export assets)

  • Public status page with incident history

Sample SLA language you can adapt

Here is simplified, non‑legal sample wording:

Service Availability. Provider will make the Service available at least 99.9% of the time in each calendar month, excluding Permitted Downtime.

Incident Response. For Priority 1 incidents (complete loss of service), Provider will respond within 30 minutes and work continuously until resolution or workaround.

Maintenance. Provider may conduct planned maintenance between 02:00–04:00 UTC on Sundays. Provider will provide at least 7 days’ notice for planned maintenance expected to cause downtime.

Use these as a starting point and refine with legal and procurement teams.

Ethical AI for display ad design

AI is now a core part of creative production. But enterprise teams must ensure ethical AI tools for display ad design that respect brand, privacy, and regulation.

Key principles drawn from emerging guidelines like the OECD AI Principles and the EU AI Act (OECD, OECD Principles on Artificial Intelligence, 2019; EU Council, EU AI Act, 2024):

1) Bias mitigation and fairness

AI systems used for creative automation should be designed to avoid harmful bias. Practically, this means:

• Reviewing AI‑generated imagery and copy for stereotypes or exclusionary patterns

• Avoiding algorithmic optimization that over‑targets or excludes protected groups

• Configuring templates and prompts that reflect inclusive, brand‑appropriate guidelines

Generative tools should be used as production accelerators, not as autonomous decision‑makers about audience segmentation.

2) Human‑in‑the‑loop review

Adobe’s 2024 report stresses that AI should reduce monotonous tasks, not replace creative judgment (Adobe, State of Creativity 2024, 2024). Viewst’s positioning aligns with this: AI for production, not for replacing designers.

For a 24/7 banner operation, maintain:

• Human review checkpoints for:

  • First concept approval

  • Brand/legal review for sensitive campaigns

  • Final sign‑off before export to ad servers

• Clear ownership for approvals in each region and time zone

3) Data minimization and privacy

Ethical AI for display ad design should prioritize data minimization:

• Use only necessary campaign data (e.g., product info, offers) in AI prompts

• Avoid including personal data or sensitive attributes in creative‑generation workflows

• Ensure compliance with GDPR, CCPA, and sector‑specific rules

When AI features are embedded in platforms like Viewst, check the vendor’s data processing agreements (DPAs) to understand how prompts and outputs are stored and used.

4) Audit logs and traceability

To satisfy internal audit and external regulation, your platform should provide:

• Change history for creatives (who edited what, when)

• Versioning for AI‑generated outputs

• Logs of approvals and overrides, especially when AI suggestions are adjusted by humans

Viewst’s emphasis on production infrastructure and governance ties directly into this need for traceable workflows.

5) Brand control and policy guardrails

Automation at scale can magnify deviations if guardrails are weak. Look for tools that support:

• Brandbooks and locked styles to keep typography and color consistent

• Template‑based generation rather than free‑form “anything goes” prompts

• Policy configurations that limit which teams can use AI features and how

This ensures AI is a disciplined collaborator that respects your brand and regulatory boundaries.

Practical steps to implement a 24/7 banner production capability

Here is a pragmatic roadmap you can follow.

Step 1: Define your follow‑the‑sun regions and roles

• Identify at least two to three regional hubs (e.g., Americas, EMEA, APAC).

• Assign core roles in each hub:

  • Creative lead

  • Production designer

  • Local market approvers

• Map time‑zone overlap windows and daily handoff times.

Step 2: Choose your production infrastructure

• Decide whether to:

  • Extend existing platforms (e.g., Adobe + Google Web Designer), or

  • Adopt a specialized HTML5 ad production platform (e.g., Viewst, Celtra, Bannerflow).

• Evaluate tools against:

  • HTML5 native output

  • Smart resize / automated layout

  • Approval workflow and comments

  • Brandbooks/design systems

  • Uptime/SLA and security

Step 3: Standardize master creative and brand systems

• Create master templates for:

  • Evergreen brand campaigns

  • Product‑launch campaigns

  • Always‑on performance campaigns

• Encode brand rules into:

  • Brandbooks (in tools like Viewst or Celtra)

  • Shared libraries (colors, fonts, logo lockups)

All variations and sizes must originate from these master assets. That is the only way to ensure consistent updates and brand safety as you scale.

Step 4: Automate where it reduces mechanical work

Implement automation selectively:

• Use AI Smart Resize to produce all banner sizes from one master.

• Use AI Instant Animator (or similar) to apply consistent motion across layers.

• Use AI Image Deflatening to convert flat assets (e.g., JPGs from legacy campaigns) into editable banners.

• Keep designers focused on:

  • Concepting

  • Layout decisions

  • Reviewing and refining AI outputs

Step 5: Design explicit handoff and approval workflows

• Configure statuses like:

  • Draft → Design Review → Brand Review → Market Review → Final QA → Approved

• Assign owners for each step in each region.

• Embed approval rules in the platform:

  • Who can mark "Approved"?

  • Who can override AI‑generated variations?

• Use preview links for non‑design stakeholders (media, product, legal).

Step 6: Set SLAs and monitor performance

• Agree on SLAs with both:

  • Internal teams (e.g., turnaround time for new variations)

  • External vendors (platform uptime and support)

• Track KPIs such as:

  • Time from brief to live banners

  • Number of variants produced per sprint

  • Error rate (wrong sizes, rejected creatives)

• Review these metrics quarterly and tune automation and staffing.

FAQ: 24/7 banner design operations

1) How do I set SLAs for creative output by region?

Define SLAs based on campaign type and region’s role. For example:

• Standard campaign:

  • Initial concept: 3 business days

  • Resized variants: 24 hours

• High‑priority campaign:

  • Initial concept: 1 business day

  • Resized variants: 4–8 hours

Set separate SLAs for:

• Design production (creation/resizing)

• Review/approval (brand and market)

Then map those SLAs to time zones, e.g., APAC handles overnight resizes for EMEA and Americas.

2) What are typical uptime/availability targets for creative platforms?

Most enterprise creative automation platforms target at least 99.9% monthly uptime. For mission‑critical environments, 99.95% is common.

Your contract should also specify:

• Incident response times (e.g., 30 minutes for P1)

• Planned maintenance windows and notification periods

• Remedies or credits if uptime falls below target

3) Which creative automation platform is best for display advertising?

It depends on your stack and priorities:

• Choose Viewst if you want an HTML5‑native production layer between design and media, with strong AI for production tasks.

• Choose Celtra if you need a broad enterprise solution spanning display, video, and omnichannel campaigns.

• Choose Bannerflow if you want a centralized creative suite for banners with strong localization.

• Choose Smartly.io if your primary focus is paid social and you need tight media‑creative integration.

Many teams use Adobe or Figma for core design, then one of these tools for production at scale.

4) How can I prevent burnout in a 24/7 creative operation?

Key practices:

• Use automation for repetitive tasks (resizing, exporting, basic animation).

• Enforce regional shift boundaries and avoid constant off‑hours pings.

• Rotate responsibilities so senior designers focus on creative direction, not mechanical work.

• Centralize collaboration (in a platform like Viewst) to reduce context switching between tools.

5) How do I ensure AI‑generated banners remain on‑brand and compliant?

• Lock brandbooks and templates in your production platform.

• Require human review before publishing AI‑generated variations.

• Use compliance checklists for sensitive categories (finance, healthcare, children’s products).

• Keep audit logs and version control so you can trace any problematic asset back to its origins.

Building an always‑on creative production capability is less about working longer hours and more about designing better infrastructure.

With the right combination of cloud‑based banner design tools, creative automation, ethical AI, and clear SLAs, you can scale display advertising output without sacrificing brand, quality, or the sanity of your teams.