Agency Campaign Launch Checklist: 9 Essential Steps

Create a master brand folder in Google Drive with subfolders for logos, fonts, color palettes, and approved imagery. Use DesignLumo's Brand Kit feature (https://www.designlumo.com) to import these assets, enabling AI prompts to auto‑apply the correct colors and typefaces. Enforce a naming convention like CLIENT‑ASSET‑TYPE‑YYYYMMDD. Track retrieval time with a simple timer sheet; agencies typically see a 30% reduction in asset‑search time, translating to roughly 2 saved hours per client per month.

Build a reusable brief in Airtable that includes fields for platform, ad format, copy, CTA, dimensions, and KPI targets. Link the table to a Zapier webhook that auto‑creates a Trello card for each line item, assigning it to the responsible designer. Populate the template with example values so junior staff can copy‑paste. Measured against a baseline, agencies report a 20% faster brief turnaround, cutting the pre‑production lag from 3 days to 2.4 days on average.

Integrate Clearbit Reveal (https://clearbit.com) with your CRM to pull real‑time firmographic data for each prospect. Export the data into a CSV, then feed key attributes—age, interests, buying triggers—into DesignLumo prompts to generate persona‑specific ad copy and imagery. Set a weekly sync to keep the data fresh. This automation reduces manual research from 4 hours to under 30 minutes per client, boosting relevance scores by up to 15% in platform ad auctions.

Write a concise prompt that includes brand colors, copy, and desired layout, then let DesignLumo generate a fully layered PSD or Sketch file in seconds. Use the built‑in editor to tweak typography or swap images, then export PNGs for ad platforms. Compared to Canva’s static outputs, Lumo’s editable files cut design time from an average 4 hours to 30 minutes per asset, delivering a 75% efficiency gain and allowing more A/B tests per campaign.

Enable Figma’s branching feature for each client campaign. Create a ‘master’ file with locked brand components, then spin off a branch for every new ad variation. Use the ‘Compare’ view to highlight differences before merging back to master. Pair this with GitHub actions that automatically export assets to a shared S3 bucket. Agencies that adopt this workflow report a 40% drop in accidental overwrites and a 25% faster handoff to developers.

Set up InVision (https://invisionapp.com) prototypes for each creative set and connect them to a Zapier automation that emails client stakeholders with a single‑click approval link. Capture timestamps and comments directly in the prototype, then sync the approval status back to your project management board (e.g., Asana). This reduces the average approval cycle from 5 days to 2 days and ensures a clear audit trail for compliance‑heavy industries.

Create a Zap that watches a designated DesignLumo export folder. When a new PNG appears, the Zap triggers a series of actions: upload to Facebook Ads Manager via the Marketing API, push to Google Ads, and add to Mailchimp’s image library. Include a timestamp field to enforce publishing windows (e.g., 09:00 UTC). This end‑to‑end automation eliminates manual uploads, cutting post‑production labor by roughly 3 hours per campaign.

Standardize campaign URLs with Google’s Campaign URL Builder, then pipe the results into a Google Data Studio dashboard that auto‑aggregates clicks, CTR, and conversion data from Google Analytics and Facebook Ads. Use calculated fields to compute cost per acquisition (CPA) per channel. Agencies that adopt this live dashboard see a 15% faster insight loop, enabling real‑time budget reallocations that lift ROAS by 10‑12% within the first week.

Schedule a weekly audit using Supermetrics (https://supermetrics.com) to pull spend, impressions, clicks, and conversion metrics into a pre‑formatted Google Sheet. Apply a two‑sample t‑test to compare new creative performance against the control set, flagging statistically significant lifts (>95% confidence). Document findings in a Confluence page with actionable recommendations. This systematic audit process typically uncovers optimization opportunities worth $5‑10K per client per month.