Digital Squad

Reimagining growth.

Indonesia's #1 Conversion Rate Optimisation Agency for SaaS Platforms.

Digital Squad helps teams in Indonesia convert more of the demand they already earn by finding where people hesitate, abandon or lose confidence. We combine analytics, behavioural evidence, landing-page design and disciplined experimentation across mobile and desktop journeys, tying each release to qualified conversion and the commercial value behind it.

Team reviewing customer journey concepts

Trusted by 450+ clients over 19 years across APAC

  • Dementia Australia
  • BlueScope
  • LegalVision
  • Anchor
  • Escape Haven
  • Squirrel
Digital Squad team in discussion

Indonesia's conversion rate optimisation partner for a conversion programme that removes friction from the journey between intent and a useful next step.

Digital Squad approaches CRO as a science, not a guessing game. Over 19 years and across 450+ client engagements, we've developed a rigorous optimisation framework that combines AI-driven behavioural analysis, multivariate testing, and landing page engineering to close the gap between traffic and revenue — without increasing acquisition costs. For conversion rate optimisation, local search behaviour, mobile expectations and city-level demand inform the content, channels and response path. For mobile-first Bahasa Indonesia and English journeys across search, Instagram, TikTok and WhatsApp, we record the friction, experiment result and commercial measure behind each change.

Conversion rate optimisation in Indonesia begins with the moment a qualified visitor hesitates, abandons a form or cannot see the next step. We compare mobile behaviour in Jakarta with signals from other growth centres, then test hierarchy, proof, language, form design and checkout friction against the task the visitor is trying to complete. Each experiment has a control, an owner and a reason linked to the revenue journey.

The commercial gain is not a prettier page; it is more value from demand the business has already paid to reach. We sequence releases by friction, confidence and implementation effort, then help marketing and product teams decide whether to expand, refine or retire a change. Results can be read through qualified conversion, opportunity cost, completion and revenue per visit, with learning carried into the next release.

Framework-first thinking

Our conversion rate optimisation framework finds the friction that prevents a qualified visitor from taking a useful next step. It connects behavioural evidence, proposition, page experience, experiment control and commercial measurement, with Indonesian language, platform and city context shaping which journeys are tested first. The measure runs from first visit through the qualified action and the value that follows.

We rank the journeys, form hypotheses, set guardrails and assign owners before a test reaches production. Evidence from Bahasa Indonesia and English users then determines whether an experience change improves qualified movement, protects lead quality and deserves to be extended. The sequence protects both experiment confidence and the quality of the opportunity that follows.

  • Digital Squad team at a Semrush awards event

    Award-winning APAC expertise, applied with Indonesian context

    Digital Squad applies 19 years of APAC growth experience, 450+ client relationships and four Semrush Awards to conversion decisions, not surface-level design changes. In Indonesia, behavioural evidence from Bahasa Indonesia and English journeys in Jakarta and growth centres is read with lead quality, form or checkout context and downstream value. Product, marketing and sales teams get a clearer basis for removing friction while protecting the quality of the opportunity created.

  • Two professionals discussing strategy at a wooden table

    A conversion rate optimisation system with one accountable direction

    An enquiry, checkout, trial or booking needs different evidence and success measures. We adapt research and experimentation to the Indonesian audience, device, language, proposition and handoff that follows, then test the page, proof, form or flow against qualified movement rather than an easy click. Jakarta and wider-market journeys can therefore learn locally while the commercial measure stays tied to lead quality, completion and customer value.

  • Team members collaborating at a glass whiteboard

    Execution built around buyers, proof and practical ownership

    Each experiment has a documented hypothesis, implementation owner, success signal and guardrail; design, copy, development, analytics and sales feedback make the learning usable beyond a single page. Local feedback from sales, service or operations is folded into experiment review, ensuring a winning on-page result also improves the context and quality of the response that follows.

  • Professional smiling while working at a desk

    Measurement that informs the next commercial decision

    Conversion rate is read with lead quality, completion context and downstream progression, protecting the business from optimising an easy click at the expense of a useful opportunity. In Indonesia, this evidence helps the team prioritise validated learning that improves downstream opportunity quality, not merely a single interface metric. The optimisation backlog is reprioritised against validated learning and downstream lead quality, making the next release more valuable than a cycle of isolated interface changes.

We turn conversion rate optimisation insight in Indonesia into prioritised delivery, measurable learning and accountable commercial action that reflects Jakarta and the wider market.

Smiling professionals in a collaborative workplace
  • Phase 1

    Conversion Intelligence & Audit

    We begin by locating the drop-off between intent and a useful action, whether the journey ends in a form, trial, enquiry or checkout. The assessment compares mobile behaviour and language across Jakarta, Surabaya, Bandung and Bali, reviews analytics, page hierarchy, proof, response and technical dependencies, and identifies the owner who can remove each constraint. The output is a prioritised experiment map tied to qualified conversion, completion rate, cost per opportunity, revenue per visit and retention.

    Outcome: Comprehensive conversion audit with prioritised optimisation roadmap.

  • Phase 2

    Strategic Experimentation Blueprint

    The optimisation blueprint ranks the highest-friction journeys, writes testable hypotheses, assigns design and technical dependencies, defines success and guardrail metrics and sets the learning order. It balances quick improvements with deeper experience work. The conversion rate optimisation blueprint is checked against Bahasa Indonesia and English journeys, mobile-first research and Google Search, Instagram, TikTok and WhatsApp before priorities are fixed.

    Outcome: 90-day testing roadmap with experiment specifications and expected lift projections.

  • Phase 3

    Testing Execution

    Each change moves through a controlled experiment with a clear hypothesis, owner, success signal and guardrail. The work keeps design, copy, development, analytics and sales feedback connected, while Indonesian-language and English journeys are reviewed in the context in which the buyer actually arrives. The record of each test carries successful changes into wider use and turns inconclusive results into evidence for the next hypothesis.

    Outcome: Active experimentation program with validated winners implemented.

  • Phase 4

    Performance Analysis & Scaling

    We read conversion rate with lead quality, completion context and downstream progression. Reporting shows which friction was removed, how confident the result is and whether the change improved commercial value in Jakarta or the wider market. Leaders can decide which experience improvement to scale, which assumption to revisit and where further testing will create the next useful gain.

    Outcome: Sustained conversion rate improvement with measurable revenue lift, stronger lead quality and a clearer evidence base for future experience investment.

Trusted by people just like you.

  • Anvesh Katuri, Founder at Hyperios

    Anvesh Katuri

    Founder at Hyperios

    From branding to execution, the team delivered clarity and strategy beyond expectations. Within 3 weeks we ranked on page one across 7 markets for competitive generative AI terms.
  • Ben Tan, KrisShop, Singapore Airlines

    Ben Tan

    KrisShop, Singapore Airlines

    After years of struggling with negative ROAS across multiple agencies, this was the first team that actually turned things around. The difference was night and day.
  • Joanna Du, Head of Marketing at Cahoot

    Joanna Du

    Head of Marketing at Cahoot

    The team brought strategic clarity we had never experienced before. Their SEO insights reshaped our entire content approach and quickly lifted visibility across our core programmes.

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FAQ

Frequently asked questions

Practical answers for organisations planning conversion improvement in Indonesia, with local buyer context, delivery ownership and measurable commercial progress made clear.

  • Conversion rate optimisation improves the experience after a person arrives, so more of the existing demand can become a useful action. We examine intent, friction, proof, form or checkout behaviour and follow-up before recommending a test. When acquisition is already expensive, improving the route from click to qualified opportunity can be more efficient than adding volume. In Indonesia, that may mean resolving mobile friction, clarifying Bahasa Indonesia or English proof, or making the route from a Jakarta search to WhatsApp or sales easier to complete for a real buyer. We then measure whether the change improves qualified outcomes, not only clicks.

  • We establish the business goal and baseline, review analytics and recordings where available, inspect the page and journey, then rank hypotheses by likely impact and effort. Tests are designed with a clear measure, audience and decision rule. The learning is documented and fed into the next release rather than treated as a one-off redesign. We include the device, language, city, source and sales or service handoff when those factors explain why Indonesian visitors behave differently from regional traffic.

  • Depending on the journey, we may test message hierarchy, trust proof, form length, page structure, calls to action, navigation, offer framing, checkout steps or mobile interaction. The test should answer a meaningful behavioural question. We avoid changing several unrelated variables at once when that would make the result difficult to interpret. A B2B page may need stronger local proof and qualification, while ecommerce may need payment, delivery or marketplace context; the hypothesis follows the actual Indonesian journey.

  • More traffic can make testing faster, but useful CRO does not begin with an arbitrary threshold. A heuristic review, analytics diagnosis and qualitative evidence can expose serious friction on lower-volume journeys. Where sample size limits an experiment, we use an appropriate decision method and say what the evidence can and cannot support. This is especially useful for a specialist Indonesian offer or regional B2B page where volume is modest but each qualified enquiry is commercially important.

  • Yes, provided the team can share the relevant access and conversion context. Ecommerce work may focus on product discovery, cart and checkout; SaaS may examine demo or trial progression; B2B may need stronger proof, qualification and sales handoff. Mobile behaviour and local payment or contact expectations are considered when they affect the Indonesian journey. We keep the category-specific conversion event clear, so a product order, trial activation and sales-qualified conversation are not optimised as if they meant the same thing.

  • A diagnosis can identify well-supported improvements quickly, while an experiment needs enough eligible traffic and a clean release process to learn. We prioritise changes that can be measured and shipped, then separate early behavioural movement from durable commercial impact. The timeline follows the journey, Indonesian traffic mix, mobile experience and implementation capacity rather than a guaranteed uplift date. Early movement might be better form completion or checkout progression; the commercial judgement follows when sales, fulfilment or revenue feedback is available.

  • Either can work. A project is useful for a diagnostic, prioritised backlog or focused redesign; an ongoing programme supports repeated testing, implementation and learning across several journeys. We define the scope, decision rights and reporting before work begins, so the engagement remains tied to conversion quality and revenue value rather than a quota of tests. A lean Indonesian team can start with one funnel, then expand into national or APAC journeys when evidence, release capacity and handoff ownership justify more testing.