DashThis alternative

Priced on dashboards and sources. Here is what changes when neither is the meter.

DashThis prices on two counts at once: dashboards and data sources. Individual is $44 a month for 3 dashboards and 15 sources, Professional $139 for 10 and 40, Business $279 for 25 and 100, and Standard starts at $429 for 50 dashboards and 200 sources, sliding upward from there. Integrations are unlimited on every plan, and AI Insights ships as four preset analyses — Summary, Opportunities, Wins, Issues — with no chat and no customisation.

The model suits a specific shape: an agency with a known client count, each client getting one recurring dashboard from a preset template. It gets awkward when dashboards are cheap to want — one per campaign, one per experiment, one per question — because every one of them consumes plan capacity. TableBI has no dashboard count and no source count on its paid tier, and it also has no preset templates, no scheduling and no client portal. That is the trade.

Side by side

DashThis figures read from the DashThis pricing page on September 5, 2026; vendors change pricing, so check before deciding. TableBI figures come from its own pricing page and docs.

When counting dashboards is the wrong meter

Dashboard-count pricing quietly discourages the thing that makes dashboards useful, which is making one for a question and throwing it away. On a 3-dashboard plan, a temporary view for a two-week test competes with a client's standing report.

The counter-case is genuine: if what you need is one durable dashboard per client, refreshed monthly, then a dashboard count is a perfectly reasonable proxy for value and $44 for three of them is cheap. The meter only misprices you when your usage is exploratory rather than recurring.

Preset templates against writing the query

DashThis's preset templates are a real advantage on day one. Pick "SEO monthly", connect Search Console, and there is a report — no decisions about which metrics matter.

TableBI has nothing equivalent, and that is a cost. What you get instead is that the definition is yours and it is inspectable: ctr(SUM(clicks), SUM(impressions)) is what it says, computed the same way across every platform, and the raw tables are underneath when you want to know why a number moved. Templates get you started faster; a query you wrote survives the question the template did not anticipate.

Four preset insights against an open question

AI Insights in DashThis generates four fixed analyses. That is an honest scope — it does what it says and there is no credit meter or chat to mislead you about.

TableBI's equivalent is not a feature at all: your own Claude Code or Codex drives the CLI, so the set of questions is whatever your agent can express in SQL, and the cost is your existing subscription rather than anything we charge. The trade is that nothing is pre-chewed. Nobody has decided in advance that "Opportunities" is one of the four things worth telling you.

What TableBI actually is, and is not

TableBI is a marketing-data backend for coding agents: it connects Search Console, GA4, Google Ads and Meta Ads (beta) into one queryable store, answers in read-only SQL over both a unified cross-channel view and the lossless per-platform raw tables, and pins any answer to a live public dashboard URL that refreshes itself.

The shortest way to see whether that shape fits is to connect one source on the free tier and ask it something:

# install, connect one source, ask
npm i -g @tablebi/cli
tablebi login
tablebi install          # plants a skill so Claude Code knows the commands
tablebi connect google_ads

tablebi ask "WITH w AS (SELECT MAX(date) AS anchor FROM metrics)
   SELECT platform,
          roas(SUM(revenue), SUM(cost)) AS roas,
          cpa(SUM(cost), SUM(conversions))       AS cpa
   FROM metrics, w WHERE date > w.anchor - 30
   GROUP BY platform ORDER BY roas DESC"

# pin the answer to a URL that refreshes itself
tablebi pin --title "Cross-channel efficiency"
→ https://you.tablebi.com/d/dsh_…

Every answer carries a trust block: per-source freshness, the rows it scanned, and explicit caveats — Search Console runs two to three days behind and applies a privacy threshold to rare queries; GA4 backfills for a day or two; GSC clicks and GA4 sessions are different populations and are not supposed to match. Here is a pinned dashboard running on real data.

Which to pick

Questions people ask

Other comparisons

Working the numbers rather than the tools? The free marketing calculators do ROAS, CPA, CTR and the rest in the browser, and the report templates are widget sets you can pin.