Competitor Analysis

What the service includes

We collect data on competitors from social media and websites and turn it into a clear summary with conclusions, not a pile of tables. The work covers analyzing what competitors publish and how often, which formats and topics get them engagement, how fast their audience is growing, and how their offers, prices and value propositions are structured. We consolidate scattered data — posts, reach, assortment, prices — into a single picture and highlight where a competitor is strong, where they're vulnerable and which of their practices are worth adopting or sidestepping. We deliver the result as a report with concrete observations and recommendations, and when needed we put the collection on a regular footing to track changes. The outcome: you make decisions based on facts about the market, not on feelings and rumors about what competitors are doing.

How it actually works

The analysis is built in two layers: collection and interpretation. First we collect public data on competitors — their posts and reach on social media, assortment and prices on websites, audience activity — and normalize it into a single structure. Then comes the analytical layer: we compute comparable indicators — posting frequency, average engagement, follower growth rate, price positioning — and compare competitors against each other and against you. On top of the numbers we layer a qualitative breakdown: which topics and formats work, how offers are worded, what makes their positioning different. This fits proven frameworks of competitive analysis, where strengths, weaknesses and external threats all matter. The result isn't a data dump but a structured picture with priorities.

Where competitor analysis came from

Systematic competitor analysis took shape as a discipline in the second half of the 20th century. The framework of strengths and weaknesses, opportunities and threats — SWOT — is associated with Albert Humphrey, who in the 1960s–70s at the Stanford Research Institute studied why corporate planning in Fortune 500 companies so often failed. A more rigorous model of industry competition was proposed by Michael Porter: his article "How Competitive Forces Shape Strategy" appeared in the Harvard Business Review in 1979, and in 1980 he expanded it into a book on competitive strategy. Notably, Porter created his model as a response to the looseness of SWOT. We rely on these proven frameworks but fill them not with guesswork but with real data collected from competitors' social media and websites.

Why data and interpretation are critical

Competitor analysis is useless at two extremes: when it's based on feelings without data, and when it's a pile of numbers without conclusions. A polished presentation with someone else's follower counts is worth nothing if the metrics were collected carelessly or incomparable things are being compared. That's why first we're accountable for data cleanliness — correct metrics, comparable periods, no duplicates — and then for honest interpretation: where a competitor has real strength and where it's just inflated activity. We don't pass off a random correlation as the cause of success, and we clearly separate fact from hypothesis. That approach is what separates working analytics from a pretty but empty report. As a result, you get conclusions you can lean on in strategy, not a set of charts that leave it unclear what to do.

What stack we work on

We build the data collection layer on the Apify platform and its actors for social media and websites, capturing competitors' posts, reach, assortment and prices. n8n provides orchestration and regularity, tying collection, cleaning and aggregation into a single flow. We store the collected data in a database and compute comparable indicators — frequency, engagement, growth rates, price positioning — and surface the result in a dashboard or report. The qualitative breakdown — formats, topics, offer wording — we do on top of this data, not instead of it. The stack is manageable and portable: both the data and the analysis logic stay with you, and competitor monitoring can be repeated and extended without being tied to us.

When the key approaches appeared

Competitor analysis tools took shape over decades. The SWOT framework goes back to Albert Humphrey's work at the Stanford Research Institute in the 1960s–70s. Michael Porter's Five Forces model appeared in the Harvard Business Review in 1979 and became a classic of industry analysis. The data collection tools that fill these frameworks are younger: the first web robot appeared in 1993, and Apify, the cloud scraping platform we work on, appeared in 2015. The n8n orchestrator launched in 2019. We combine mature analytical frameworks with modern data collection, so the analysis rests on real numbers rather than outdated desk estimates.

Why you can trust us with this

Our team's combined IT experience exceeds 45 years, and we run competitor analysis as an engineering-and-analytical task, not a one-off presentation. We're accountable for both parts — the cleanliness of the collected data and the honesty of the conclusions, separating fact from hypothesis. We deploy the collection and the analysis logic on your side, so both the data and the process stay yours and can be repeated without us. We'll tell you plainly where a competitor has real strength and where it's just appearance, and where there isn't enough data for a confident conclusion. As a result, you get a picture of the market you can lean on in decisions, not a set of someone else's metrics without interpretation.