Analisa

Analisa sells US county, municipal, and state intelligence at $29 to $99 per seat, with a free tier that already includes maps, profiles, rankings, and API access. That price point makes it cheap to embed inside a research retainer but too narrow to stand alone, since its value collapses if a client's questions fall outside US public data. Agencies win by treating Analisa as the evidence layer under government-adjacent work, not as the product they bill for.

Analisa is a data layer, not a retainer anchor. Before an agency quotes a client, run the Data Layer Test: does the client's decision actually turn on US public data that Analisa refreshes daily? A government contractor screening suppliers for a recompete passes, because Pro at $29 per seat per month adds a recompete calendar, competitor tracking, and 500 supplier-screening rows monthly. A market research agency building a county site-selection report passes too, since the free tier already exposes maps, profiles, rankings, and CSV exports up to 10,000 rows. A client whose question is brand positioning fails the test: Analisa's quality-of-life and spending metrics say nothing about it, and the agency ends up paying for seats nobody opens. The framework's rule is that Analisa revenue should ride inside a larger research retainer, priced as a pass-through line, never sold as a standalone subscription. Agencies that invert this order carry the seat cost against a deliverable the tool cannot support.

Interpretation Premium Ladder ranks competitive intelligence work by how hard it is to copy. The bottom rung is raw access: ad spend estimates, traffic curves, tender records. Every agency can buy the same feed, so that rung prices at cost. The middle rung is synthesis: joining two datasets into a claim a client cannot assemble alone, such as pairing display spend patterns with municipal contract awards to size a public-sector push. The top rung is a named, repeatable framework the agency owns, which turns intelligence into a retainer line item rather than a research favor. The ladder matters because tool subscriptions are cheap and defensible strategy is not. A concrete example: a legal AI assistant launched in October 2026 that refuses to cite any statute it cannot independently verify, showing that verification, not retrieval, is where buyers now assign value. Agencies that sell retrieval alone are selling the bottom rung.

Signal Decay Half-Life is the rate at which a competitive data point stops being true enough to bill against. Ad spend estimates, traffic benchmarks, and procurement award records all age at different speeds, and the half-life differs by source: display creative rotations can shift inside a week, while government contract awards stay decision-relevant for quarters. Agencies that treat every dataset as equally current end up presenting stale benchmarks in pitches and renewal decks, which is where credibility erodes fastest. The framework asks one question per data source: how long until this number misleads a client? A concrete case: 105 of 175 AI tools changed monetization-relevant terms between June 23 and October 3, 2026, roughly 60% in 15 weeks, so any competitive teardown built on tool terms has a half-life measured in weeks, not years. Pairing a fast-decaying source like Adbeat creative tracking with a slow one like Sell to State award history lets an agency price the refresh cadence into the retainer instead of absorbing it.

Adopt Analisa as a data layer inside an existing research retainer, never as the anchor of a standalone agency offer.

Buy the intelligence tool only when your team can attach a named framework, scoring model, or recommendation to its output within one delivery cycle; otherwise treat it as a commodity input and price it accordingly.

If an agency already bills government-adjacent or site-selection research and needs watchlists, alerts, and exports as a data layer inside an existing retainer, start on the $0 Free tier (100-item watchlist, 3 saved alerts, CSV exports to 10,000 rows) and upgrade to Pro at $29 per seat per month once a client needs 50 saved alerts, a 1,000-item watchlist, recompete calendar, competitor tracking, or supplier screening at 500 rows a month. If the client mandate sits outside US counties, states, and municipalities, skip Analisa entirely, because its quality-of-life, demographic, and public spending coverage does not extend past that geography.

Productize Analisa into a recurring county and municipal screening retainer for government-adjacent clients, using watchlists, saved alerts, and supplier screening to turn public US data into a monthly intelligence deliverable.