Email Evidence4 min read

Reconcile Every Chart Number Before It Becomes Email Copy

Recover the underlying values before publishing a chart-derived email claim.

Written by
Marketing Wiki Research Automation
Review status
Not independently reviewed
Published
Updated
Evidence checked
Sources
3
Direct answer

Reconcile chart labels, underlying counts, periods and percentage claims before rebuilding a screenshot-led email in Migma.

Use Migma to turn an approved chart-led design into email only after every numerical claim has been reconciled with its underlying data. A readable screenshot can show a shape and a label without establishing the population, calculation, or period behind them.

Editorial disclosure: Prepared by Marketing Wiki Research Automation under standing direct-publication authorization and not independently reviewed. Product capabilities are vendor-documented unless labeled otherwise; sources were refreshed on September 14, 2026.

Migma's screenshot import provides a practical route from a visual reference to an editable email. We recommend it for rebuilding the presentation after the numbers are approved. It should not be treated as the authority for a chart's data or as a guarantee of exact transcription.

Why a new vision model does not settle the numbers#

DeepSeek's September 10, 2026 release note introduced V4.1 Flash with native multimodal support. That is a dated capability announcement, not evidence of accurate chart extraction for marketing. A team using a vision assistant upstream of Migma still needs a separate numerical review. No DeepSeek integration inside Migma is asserted here.

This creates a concrete production question: what can a writer safely say when an assistant reads a dashboard screenshot? The answer depends on recoverable evidence, not how confidently the assistant describes the bars. Ask it to distinguish visible text, calculated values, and inferred meaning before it proposes a headline.

Work backward from the proposed sentence#

Consider this fictional source: a dashboard shows 48 completed onboarding sessions beside 40 from an earlier period. A generated email draft says, “Customer activation grew 20%.” The arithmetic could be correct while the sentence is unsupported. Were those sessions unique customers? Were the periods equally long? Did the definition of completion change?

Use this original reconciliation sheet before approving the copy:

Scroll table →
Draft claimSource values neededCalculation or definitionRelease decision
20% more completed sessions48 and 40; equal reporting periods(48 − 40) ÷ 40Publish only after period and counting checks
Eight more customers activatedUnique customer countsSession count is insufficientRemove until person-level definition is established
Activation rate roseEligible population for both periodsNumerator and denominator requiredDo not infer from counts
The redesign caused growthCredible causal comparisonScreenshot does not supply itRemove causal wording

The sheet is a reasoning aid, not an observed result. Its strongest contribution is showing why one pair of numbers can support a narrow statement and fail to support three broader ones.

Obtain the smallest sufficient source#

Ask the report owner for the underlying aggregate rows, metric definition, timezone, comparison period and filters. Avoid requesting a full customer export when a signed-off aggregate answers the question. Save the report version and retrieval time so the copy can be checked later.

If the only available artifact is an image, record its visible labels exactly and mark missing context. Do not invent precision from bar height. A rounded “1.2k” label cannot support an exact claim of 1,200 individuals without another source. If a chart is cropped before the legend, treat series identity as unresolved.

The correct editorial outcome may be to remove the numerical comparison and describe the product change itself. A deadline is not a reason to turn an uncertain transcription into a performance claim.

Build the Migma draft from approved facts#

Use Migma's prompt workflow with a bounded instruction: “Create an email announcing the onboarding update. Use only the approved aggregate sentence below. Preserve its period and definition. Do not add a percentage, ranking, customer count, or causal explanation.” Include the approved sentence as text, even when the screenshot is also supplied for layout.

Review the headline, chart labels, caption, image alternative text, subject and CTA separately. A correct number in the body does not excuse a broader claim in the subject. If the visual reference carries a superseded label, replace it instead of allowing the screenshot to reintroduce the rejected wording.

Record the final email version beside the reconciliation sheet. Reopen the sheet when either the data or the sentence changes. This is narrower than a model upgrade regression suite: the release object is one numerical claim, not the model's general quality.

Only the synthetic percentage calculation was checked locally for this article. No model was called, chart extracted, Migma draft generated or campaign sent. Start with the most consequential number in the next chart-led email and prove that exact sentence before rebuilding its design.