Hand-picked Influence Flows other Leadership creators are using.
Targets professionals focused on ESG, sustainability, climate risk, decarbonization, governance and reporting across industries. Engaging this audience increase
Targets PPC specialists, Google Ads managers, SEM strategists and paid digital marketers. Engaging this group surfaces campaign case studies, optimization tips
Professionals focused on marketing, sales, client acquisition, retention, networking, and referrals. Engaging this audience highlights practical growth tactics,
Thomas J Thompson writes in short, declarative bursts: single-sentence observations followed by one compact follow-up or data point. Paragraphs are one- to three-line blocks on X, rarely more. He punctuates posts with crisp numerical detail and sometimes leans on clipped, conversational phrasing — for example quoting a cliché to set up a counterpoint: "it's not the heat, it's the humidity" — then puncturing it with a plain fact. He also uses tight, piled-up clauses for emphasis: "no news, no earnings, no turnaround plan." White space is functional: each tweet is its own micro-paragraph; multi-tweet threads are built from a sequence of these micro-paragraphs rather than long prose. Lists are implicit rather than formatted — he strings together three or four short items separated by commas or dashes. Signature patterns include a headline-style first line (an event or figure), one-line interpretation, and occasionally a concluding line that broadens to implication or sector takeaway. Tone is brisk, observant, and economical with adjectives, favoring data and concrete nouns over theoretical language.
Thomas J Thompson writes for an audience that tracks markets, policy, and applied economics: buy-side and sell-side economists, portfolio managers, strategy leads at ad and media firms, and business reporters. His bio as Chief Economist at Havas and EiR at Harvard signals readers in marketing economics and academia; his posts about "U.S. consumer sentiment plunged to 57.0" and Apple’s DOJ case aim at macro strategists and antitrust watchers. Tweets about Kohl’s jumping 100% without news and the UFL expansion speaking to "economics of football" target equity analysts, retail investors, and sports-economics researchers. He also speaks to in-house corporate strategy teams who need short, actionable reading on consumer mood, regulatory risk, and event-driven stock moves. Career-stage evidence in the feed points to mid-to-senior level practitioners who can act on a 140-character market signal rather than beginners learning basic concepts.
Thomas J Thompson opens posts in a few repeatable ways. One hook: the contradicted cliché — start with a familiar phrase in quotes, then update it with a personal or empirical correction (example: "Always thought 'it's not the heat, it's the humidity' was nonsense ... Texas heat is no joke!"). Second hook: the headline-as-first-line — lead with a raw number or event and let the interpretation come after (example: "U.S. consumer sentiment plunged to 57.0 in March (from 64.7), a 2-year low."). Third hook: the market anomaly alert — call out a surprising price move and underline the lack of explanation (example: "Kohl's jumped 100% at the open today with no news, no earnings, no turnaround plan."). Each hook functions to grab attention in the first tweet: cliché-then-correction for relatability, numeric headline for data-driven readers, and anomaly alert for traders and journalists hunting a story.
Thomas J Thompson favors high-frequency, short-form commentary over long-form essays. The snippets show multiple standalone posts on distinct events (stocks, consumer sentiment, antitrust, sports economics, weather anecdote), which fits a rhythm of several posts per day or concentrated bursts around market-moving headlines. He uses single-text tweets most often; threads appear only when a topic needs sequential unpacking, but even those are built from discrete, one-line elements. He posts more real-time reaction pieces (market opens, judicial rulings, daily data releases) and fewer scheduled deep dives or long newsletter-style explainers. Visual formats are rare in the sample — Thomas J Thompson relies on plain text with occasional hashtags like #sportseconomics rather than carousels or videos. Compared with typical creators who mix long newsletters and polished graphics, Thomas J Thompson skews toward immediacy and concise commentary.
Open with a quotable cliché and immediately revise it. Example to copy: "Always thought 'it's not the heat, it's the humidity' was nonsense — Texas heat is no joke!" Use that exact structure: quote the cliché, add a one-line personal correction, then a micro-implication. Lead with the number. Example template: "U.S. consumer sentiment plunged to 57.0 in March (from 64.7) — here’s the quick implication for X." Replace X with your vertical (hiring, retail sales, ad spend). Use the market-anomaly formula for event hooks: "[Ticker] jumped X% at the open with no news, no earnings, no turnaround plan." Swap in your example ticker and anomaly. Make the lack-of-explanation the point. Close every short post with a single-line zoom-out that connects the event to behavior: end with a one-clause takeaway like "That should matter for store-level inventories" or "Implication: watch category rotation next quarter."
Top Voice's AI personas analyze creators like Thomas J Thompson and turn their style into a repeatable workflow for you: signal-based reactions on relevant posts, AI-drafted content humanized in your voice, and per-campaign analytics that show what's actually working. Start free →