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data engineering social media agencies tiktok instagram

data engineering for social media agencies

7 May 2026

TL;DR Every social platform measures engagement differently. Reach on Instagram is not the same as reach on TikTok. Views on YouTube are not the same as views on Facebook. Data engineering for social agencies means normalising all of this into a single, consistent reporting layer that doesn’t mislead your clients. This guide explains what that work involves and what you’re paying for. Book a 20-min call to scope it for your agency.

What “data engineering” means for a social media agency

The challenge with social media analytics is not access to data — every platform has an API. The challenge is that each platform defines its metrics differently, reports them on different schedules, and changes its API more frequently than almost any other category of software.

Data engineering for a social agency means building pipelines that handle this constant variation and present a coherent picture to clients on the other side.

Cross-platform normalisation. Instagram counts a “view” as any impression on a video. TikTok counts it after 3 seconds of play. YouTube requires 30 seconds (or an interaction) to count as a view. LinkedIn has its own definition. If you’re reporting “total video views” across platforms without normalising for this, you’re lying to your clients — not intentionally, but you are. Data engineering includes deciding on a normalisation standard and applying it consistently across every platform, every month.

API volatility. Instagram’s Graph API changes more than almost any other platform. In the past two years alone it has deprecated insights endpoints, changed the way reach is calculated, restricted organic data access, and modified rate limits. TikTok’s API has a notably short data retention window and requires active token refresh. Building pipelines that survive these changes — without your team noticing — is a full-time maintenance job.

Content-level attribution. Your clients want to know which posts drove followers, which drove website visits, and which drove conversions. Tying platform content performance data to GA4 session data via UTM parameters requires careful join logic and daily refresh scheduling so the picture is always current.

Competitor and benchmarking data. Many social agencies need to show client performance relative to competitors. Ingesting competitor follower counts, posting frequency, and engagement rates requires a different type of data collection — often scraping or third-party tools — that needs its own pipeline and quality monitoring.

The 4-week build journey

the 4-week build
1 discovery scope & audit. we map your client roster, their active platforms, what metrics matter in each client relationship, and where the current reporting pain is highest.
2 connect pipelines. instagram, tiktok, youtube, and linkedin feeds start flowing into bigquery. normalisation logic for reach, engagement, and video views is built and agreed.
3 build v1 dashboard. first client portal goes live. cross-platform performance view, content-level breakdown, and monthly comparison are ready for your review.
4+ run ongoing. api changes handled automatically. new clients added in days. monthly report packs generated without your team lifting a finger.

What we actually do behind the scenes

behind the dashboard
what you see a clean portal.
  • per-client cross-platform dashboards
  • normalised engagement and reach metrics
  • content performance breakdown by post
  • monthly report pack, auto-generated
↔ owned by chartica
what we run the whole stack.
  • bigquery warehouse with per-client schemas
  • fivetran connectors with token refresh monitoring
  • normalisation sql across instagram, tiktok, youtube, linkedin
  • 2am alerts when a platform api changes
  • weekly iteration as client goals evolve

Your data pipeline

your data pipeline
instagram + facebook
tiktok + youtube
linkedin + google analytics
bigquery
looker studio
raw data · in your dashboard · out

Where the time and money goes

The ongoing maintenance burden for social media pipelines is higher than most other sectors because platform APIs change so frequently. That’s reflected in the cost split.

where the budget goes
data engineering 40%
dashboard build 22%
ongoing iteration 22%
monitoring & alerts 12%
training & support 4%
typical first-month split. steady-state shifts to ~70% iteration.

The monitoring line is higher here than in other sectors. Social platform APIs are the most volatile in our stack. When Instagram changes its Insights API — and it does, regularly — that needs to be caught, diagnosed, and fixed fast. Client-facing dashboards showing stale data are not an option during a campaign review.

What you get vs what we manage

You get a portal that makes your agency look like it has a full data team. Each client logs in, sees their platforms unified, and has no reason to go to a competitor offering a shinier report.

We manage the engineering reality underneath that — the nightly sync jobs, the API token refreshes, the normalisation SQL that needs updating every time a platform redefines what “reach” means.

Frequently asked questions

How do you handle TikTok’s limited API access?

TikTok’s API has tighter restrictions than other platforms and a shorter data retention window (typically 60 days). We pull data daily to maintain historical depth, and we monitor token expiry actively — because when a TikTok token expires silently, the data just stops without any error message. We’ve seen this catch agencies out. We watch for it.

Can you track influencer and creator performance?

Yes, if the creator account grants API access or you have brand account access to the content. Organic creator data without account access is harder — we can supplement with third-party tools depending on scale. Tell us during scoping and we’ll map out what’s achievable.

What if a client uses a niche platform we haven’t mentioned?

We can usually connect it. If it has an API, we can build a connector. If it only exports CSV, we can ingest those too. LinkedIn, Pinterest, X, Snapchat, and YouTube are all standard. Tell us your full platform list in the discovery call and we’ll confirm what’s available.

How do you handle month-end reporting?

We can automate monthly snapshot exports so the data at the end of each period is captured even if the platform only keeps a rolling window. For clients who want a PDF or slide pack in addition to the live dashboard, we can generate standardised report views from the Looker Studio template. Your team reviews, approves, and sends — we’ve done the aggregation already.

Do clients get to explore the data themselves?

Yes. The portal is interactive — clients can filter by date range, platform, or content type. This dramatically reduces the number of ad-hoc questions your team has to field. Clients who can answer their own questions stop emailing you every time they notice something in their phone app that doesn’t match the last report.


Social media reporting is one of the highest-effort, lowest-margin pieces of most agencies’ service offering. The platforms keep changing, clients keep asking for more, and the team keeps spending Sunday night pulling data.

That’s the problem we exist to solve.

Book a 20-min call and we’ll scope what a unified social analytics portal could look like for your clients.

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