Set up your client project: brand voice, content pillars, and hashtag strategy
Teams build one Juma Project per client and add context over time. Every flow the team runs for that client pulls from the same project. If a project already exists, adding Instagram-specific context means each content batch starts from the brand foundation instead of re-explaining the voice, pillars, and visual style.
What to add
Brand Voice Guide
How the client sounds on Instagram specifically: tone, vocabulary, emoji conventions, what to avoid. With this in the project, every caption comes out in the right voice from the first draft.
Audience Profile
Who the content is for: demographics, psychographics, and how the audience behaves on Instagram. This shapes topics, language, and how each post is framed.
Content Pillars and Visual Style
The client's content pillars with descriptions, target distribution ratios, and visual identity: color palette, photography style, design aesthetic, feed grid approach. Instead of re-explaining what the brand posts about and how it should look, every batch pulls from this document automatically.
Hashtag Strategy
Branded hashtags, community hashtags, and topical sets organized by pillar. Size tiers and rotation rules. Instead of inventing hashtags per post, the team has a system that carries over.
Instagram Post Examples
A handful of high-performing posts with the full deliverable structure: caption, hashtags, format, visual concept. These serve as structural references, so new content resembles posts the team has actually published and seen perform.
Guide Juma with project info
Add a short description to each knowledge item in the project's info field so Juma knows what each file contains and when to use it. For example:
- Content Pillars and Visual Style: "Instagram pillars with visual identity. Follow this for content themes and art direction."
- Hashtag Strategy: "Hashtag sets organized by pillar and tier. Pull from this instead of inventing per post."
- Brand Voice Guide: "Instagram voice with per-format notes. Match this tone in every caption."
Create Instagram content grounded in competitive data
Frequently Asked Questions
How much time does this flow save compared to building an Instagram strategy manually?
Researching competitors, analyzing engagement data, writing captions, building hashtag sets, and mapping out format logic for a batch of posts typically takes 8-12 hours. This flow compresses that into ~5 minutes - you get a competitive analysis and a complete content package in one run, ready to hand off or publish directly.
What does a data-backed Instagram content package include?
The flow produces two deliverables. First, a competitive analysis table that maps the brand's Instagram against 2-3 competitors: follower counts, engagement rates, posting frequency, top-performing content themes, format mix, and audience sentiment pulled from real comments. Second, a branded strategy-and-content document with an executive summary, a content strategy grounded in the competitive data, and full deliverables per post: caption (hook-first, within Instagram's 125-character preview cutoff), hashtag set organized by tier (branded, community, topical), format recommendation with data-backed reasoning, visual concept with art direction, posting time, and a repurposing note showing how each post adapts to other formats. Carousel posts include slide-by-slide breakdowns. Reels include timestamped scripts. Stories include frame-by-frame plans with interactive elements.
Why does competitive research change Instagram content quality?
Most Instagram content is created in a vacuum: the team writes captions and picks formats based on what feels right, not what performs. When the starting point is real engagement data from the brand's own profile and competitors, every decision shifts. Format choices come from which formats drive saves and shares in that specific category. Topic angles come from what audiences actually respond to in comments, not assumptions. Gaps come from what competitors conspicuously avoid. The content that comes back is grounded in evidence, and the team can see exactly why each post was shaped the way it was.