Last updated 2026-06-10
iAnalyst ran Instagram and Facebook advertising out of Miami back when that was the whole paid social market. The platforms multiplied and the buying changed, so the practice changed with them. Today we manage paid social across Meta, LinkedIn, and TikTok under a single method and a single measurement standard.
The structural shift is worth stating plainly: the audience levers agencies used to charge for are now algorithms. Meta's automated campaigns and their equivalents on TikTok and LinkedIn choose the audience in real time. What remains in your control are the inputs, the creative variety the system tests, the conversion signals it learns from, and the guardrails it operates inside. That is where the work moved, and it is analyst work.
Platform-specific depth lives on the dedicated pages for Facebook advertising, Instagram advertising, and LinkedIn advertising. This page covers the method that runs across all of them.
What the engagement includes
Creative testing engine
AI-assisted variant production from your brand assets, screened by analysts and rotated on a calendar that produces verdicts instead of noise.
Signal and conversion data engineering
Pixel, conversions API, and server-side events configured so the platforms optimize toward revenue and qualified pipeline, not cheap clicks.
Platform automation governance
Automated campaign types run with explicit constraints, exclusions, and review cadences, because unsupervised automation drifts toward easy conversions.
Cross-platform budget allocation
Spend moved between Meta, LinkedIn, and TikTok by marginal return analysis, not by which platform's dashboard claims the most credit.
Independent measurement and reporting
Platform-reported numbers reconciled against your analytics and CRM, reported monthly in plain language against the original baseline.
Creative is the targeting now
When the algorithm picks the audience, creative variety becomes the strategy. Each distinct angle, hook, and format is a hypothesis about who your buyer is, and the platform's delivery system tests those hypotheses against billions of impressions faster than any media plan could. Accounts with three tired ads are not giving the system anything to work with.
AI makes the production side affordable: variant generation, format adaptation, and copy iterations at a volume that used to require a studio retainer. What it does not supply is judgment. Our analysts screen every variant for brand and claim accuracy, structure the tests so results are readable, and kill losers on a schedule instead of letting them quietly spend.
Four platforms, one measurement standard
Each platform earns its budget differently. Meta and Instagram usually carry volume and commerce. LinkedIn carries B2B precision at higher cost per click, which only pays when the deal size justifies it. TikTok carries discovery and creative reach, with measurement that needs the most adult supervision of the four. We run them where your buyers are, not all four by default.
The standard that unifies them is measurement. Every platform over-credits itself; that is what platform attribution does. We reconcile reported conversions against analytics and CRM truth, watch incrementality where the spend justifies it, and move budget toward the channel producing marginal return rather than the one producing the prettiest dashboard.
How an engagement starts
First comes the AI advertising audit: a structured read of your current accounts, signals, creative history, and the gap between platform-reported and actual results. You receive a written assessment of where spend is wasted and what we would change, and the document is yours either way.
If the audit turns into an engagement, the first month is rebuild work on signals and structure, then the operating rhythm begins: weekly optimization, a creative testing calendar, monthly reporting. To see whether your accounts warrant it, book a call: a 30-minute working session with a senior analyst, not a pitch.